From b7103f8d51f9c8c9d53d1f153ce7c86155ca04ff Mon Sep 17 00:00:00 2001 From: GitHub Action <action@github.com> Date: Wed, 24 Jul 2024 04:09:58 +0000 Subject: [PATCH] Updated datasets 2024-07-24 UTC --- datasets/CAM5K30CF.v002.json | 167 +++++++++++++++++++++++ datasets/CAM5K30EM.v002.json | 167 +++++++++++++++++++++++ datasets/CAM5K30UC.v002.json | 167 +++++++++++++++++++++++ nasa_cmr_catalog.json | 247 ++++++----------------------------- nasa_cmr_catalog.tsv | 19 +-- 5 files changed, 543 insertions(+), 224 deletions(-) create mode 100644 datasets/CAM5K30CF.v002.json create mode 100644 datasets/CAM5K30EM.v002.json create mode 100644 datasets/CAM5K30UC.v002.json diff --git a/datasets/CAM5K30CF.v002.json b/datasets/CAM5K30CF.v002.json new file mode 100644 index 000000000..e213736b9 --- /dev/null +++ b/datasets/CAM5K30CF.v002.json @@ -0,0 +1,167 @@ +{ + "type": "Collection", + "id": "CAM5K30CF.v002", + "stac_version": "1.0.0", + "description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly coefficients at 0.05 degree (~5 kilometer) resolution (CAM5K30CF). The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CF data product and are congruent to the temporally equivalent CAM5K30EM emissivity data product. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf).\n\nProvided in the CAM5K30CF product are layers for PCA coefficients, number of PCA coefficients, laboratory version, snow fraction derived from MODIS Snow Cover data (MOD10), latitude, longitude, and the CAMEL quality information. PCA coefficients are dependent on the version of lab PC data and number of PCs used.", + "links": [ + { + "rel": "root", + "href": "https://cmr.earthdata.nasa.gov/stac/", + "type": "application/json", + "title": "NASA CMR STAC Proxy" + }, + { + "rel": "items", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/items", + "type": "application/json", + "title": "Granules in this collection" + }, + { + "rel": "about", + "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266335-LPCLOUD.html", + "type": "text/html", + "title": "HTML metadata for collection" + }, + { + "rel": "via", + "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266335-LPCLOUD.json", + "type": "application/json", + "title": "CMR JSON metadata for collection" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2000", + "type": "application/json", + "title": "2000 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2001", + "type": "application/json", + "title": "2001 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2002", + "type": "application/json", + "title": "2002 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2003", + "type": "application/json", + "title": "2003 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2004", + "type": "application/json", + "title": "2004 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2005", + "type": "application/json", + "title": "2005 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2006", + "type": "application/json", + "title": "2006 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2007", + "type": "application/json", + "title": "2007 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2008", + "type": "application/json", + "title": "2008 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2009", + "type": "application/json", + "title": "2009 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2010", + "type": "application/json", + "title": "2010 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2011", + "type": "application/json", + "title": "2011 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2012", + "type": "application/json", + "title": "2012 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2013", + "type": "application/json", + "title": "2013 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2014", + "type": "application/json", + "title": "2014 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2015", + "type": "application/json", + "title": "2015 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002/2016", + "type": "application/json", + "title": "2016 catalog" + }, + { + "rel": "self", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002", + "type": "application/json" + }, + { + "rel": "parent", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD", + "type": "application/json", + "title": "LPCLOUD" + } + ], + "title": "Combined ASTER and MODIS Emissivity database over Land (CAMEL) Coefficient Monthly Global 0.05Deg V002", + "extent": { + "spatial": { + "bbox": [ + [ + -180, + -90, + 180, + 90 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2000-04-01T00:00:00Z", + "2017-01-01T00:00:00Z" + ] + ] + } + }, + "license": "not-provided" +} \ No newline at end of file diff --git a/datasets/CAM5K30EM.v002.json b/datasets/CAM5K30EM.v002.json new file mode 100644 index 000000000..89d7c62ae --- /dev/null +++ b/datasets/CAM5K30EM.v002.json @@ -0,0 +1,167 @@ +{ + "type": "Collection", + "id": "CAM5K30EM.v002", + "stac_version": "1.0.0", + "description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly emissivity at 0.05 degree (~5 kilometer) resolution (CAM5K30EM). The CAM5K30EM data product was created by combining the University of Wisconsin-Madison MODIS Infrared Emissivity dataset (UWIREMIS) and the Jet Propulsion Laboratory ASTER Global Emissivity Dataset Version 4 (GED V4). The two datasets have been integrated to capitalize on the unique strengths of each product's characteristics. \r\n\r\nThe integration steps include: adjustment of ASTER GED Version 3 emissivities for vegetation and snow cover variations to produce ASTER GED Version 4, aggregation of ASTER GED Version 4 emissivities from 100 meter resolution to the University of Wisconsin-Madison MODIS Baseline Fit (UWBF) 5 kilometer resolution, merging of the 5 ASTER spectral emissivities with the UWBF emissivity to create CAMEL at 13 hinge points, and extension of the 13 hinge points to high spectral resolution (HSR) utilizing the Principal Component (PC) regression method. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf).\r\n\r\nProvided in the CAM5K30EM product are layers for the CAMEL emissivity, ASTER Normalized Difference Vegetation Index (NDVI), snow fraction derived from MODIS (MOD10), latitude, longitude, CAMEL quality, ASTER quality, and Best Fit Emissivity (BFE) quality information.\r\n\r\n", + "links": [ + { + "rel": "root", + "href": "https://cmr.earthdata.nasa.gov/stac/", + "type": "application/json", + "title": "NASA CMR STAC Proxy" + }, + { + "rel": "items", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/items", + "type": "application/json", + "title": "Granules in this collection" + }, + { + "rel": "about", + "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266338-LPCLOUD.html", + "type": "text/html", + "title": "HTML metadata for collection" + }, + { + "rel": "via", + "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266338-LPCLOUD.json", + "type": "application/json", + "title": "CMR JSON metadata for collection" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2000", + "type": "application/json", + "title": "2000 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2001", + "type": "application/json", + "title": "2001 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2002", + "type": "application/json", + "title": "2002 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2003", + "type": "application/json", + "title": "2003 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2004", + "type": "application/json", + "title": "2004 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2005", + "type": "application/json", + "title": "2005 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2006", + "type": "application/json", + "title": "2006 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2007", + "type": "application/json", + "title": "2007 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2008", + "type": "application/json", + "title": "2008 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2009", + "type": "application/json", + "title": "2009 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2010", + "type": "application/json", + "title": "2010 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2011", + "type": "application/json", + "title": "2011 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2012", + "type": "application/json", + "title": "2012 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2013", + "type": "application/json", + "title": "2013 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2014", + "type": "application/json", + "title": "2014 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2015", + "type": "application/json", + "title": "2015 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002/2016", + "type": "application/json", + "title": "2016 catalog" + }, + { + "rel": "self", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002", + "type": "application/json" + }, + { + "rel": "parent", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD", + "type": "application/json", + "title": "LPCLOUD" + } + ], + "title": "Combined ASTER and MODIS Emissivity database over Land (CAMEL) Emissivity Monthly Global 0.05Deg V002", + "extent": { + "spatial": { + "bbox": [ + [ + -180, + -90, + 180, + 90 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2000-04-01T00:00:00Z", + "2017-01-01T00:00:00Z" + ] + ] + } + }, + "license": "not-provided" +} \ No newline at end of file diff --git a/datasets/CAM5K30UC.v002.json b/datasets/CAM5K30UC.v002.json new file mode 100644 index 000000000..11e3fc870 --- /dev/null +++ b/datasets/CAM5K30UC.v002.json @@ -0,0 +1,167 @@ +{ + "type": "Collection", + "id": "CAM5K30UC.v002", + "stac_version": "1.0.0", + "description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly emissivity uncertainty at 0.05 degree (~5 kilometer) resolution (CAM5K30UC). CAM5K30UC is an estimation of total emissivity uncertainty, comprising 3 independent components of variability: temporal, spatial, and algorithm. Each measure of uncertainty is provided for all 13 hinge points of emissivity and each latitude-longitude point. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf). Corresponding emissivity values can be found in the CAM5K30EM data product.\n\nProvided in the CAM5K30UC product are layers for algorithm uncertainty, spatial uncertainty, temporal uncertainty, total uncertainty, latitude, longitude, spectral wavelength, CAMEL quality, and total uncertainty quality information.\n", + "links": [ + { + "rel": "root", + "href": "https://cmr.earthdata.nasa.gov/stac/", + "type": "application/json", + "title": "NASA CMR STAC Proxy" + }, + { + "rel": "items", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/items", + "type": "application/json", + "title": "Granules in this collection" + }, + { + "rel": "about", + "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266343-LPCLOUD.html", + "type": "text/html", + "title": "HTML metadata for collection" + }, + { + "rel": "via", + "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266343-LPCLOUD.json", + "type": "application/json", + "title": "CMR JSON metadata for collection" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2000", + "type": "application/json", + "title": "2000 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2001", + "type": "application/json", + "title": "2001 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2002", + "type": "application/json", + "title": "2002 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2003", + "type": "application/json", + "title": "2003 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2004", + "type": "application/json", + "title": "2004 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2005", + "type": "application/json", + "title": "2005 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2006", + "type": "application/json", + "title": "2006 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2007", + "type": "application/json", + "title": "2007 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2008", + "type": "application/json", + "title": "2008 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2009", + "type": "application/json", + "title": "2009 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2010", + "type": "application/json", + "title": "2010 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2011", + "type": "application/json", + "title": "2011 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2012", + "type": "application/json", + "title": "2012 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2013", + "type": "application/json", + "title": "2013 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2014", + "type": "application/json", + "title": "2014 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2015", + "type": "application/json", + "title": "2015 catalog" + }, + { + "rel": "child", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002/2016", + "type": "application/json", + "title": "2016 catalog" + }, + { + "rel": "self", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002", + "type": "application/json" + }, + { + "rel": "parent", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD", + "type": "application/json", + "title": "LPCLOUD" + } + ], + "title": "Combined ASTER and MODIS Emissivity database over Land (CAMEL) Uncertainty Monthly Global 0.05Deg V002", + "extent": { + "spatial": { + "bbox": [ + [ + -180, + -90, + 180, + 90 + ] + ] + }, + "temporal": { + "interval": [ + [ + "2000-04-01T00:00:00Z", + "2017-01-01T00:00:00Z" + ] + ] + } + }, + "license": "not-provided" +} \ No newline at end of file diff --git a/nasa_cmr_catalog.json b/nasa_cmr_catalog.json index 3053991bc..fe931c1ac 100644 --- a/nasa_cmr_catalog.json +++ b/nasa_cmr_catalog.json @@ -1299,123 +1299,6 @@ "description": "The Aerial Photography Single Frame Records collection is a large and diverse group of imagery acquired by Federal organizations from 1937 to the present. Over 6.4 million frames of photographic images are available for download as medium and high resolution digital products. The high resolution data provide access to photogrammetric quality scans of aerial photographs with sufficient resolution to reveal landscape detail and to facilitate the interpretability of landscape features. Coverage is predominantly over the United States and includes portions of Central America and Puerto Rico. Individual photographs vary in scale, size, film type, quality, and coverage.", "license": "not-provided" }, - { - "id": "AQUARIUS_ANCILLARY_CELESTIALSKY_V1.v1", - "title": "Aquarius Celestial Sky Microwave Emission Map Ancillary Dataset V1.0", - "catalog": "POCLOUD", - "state_date": "2011-09-01", - "end_date": "2015-06-07", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2617176761-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2617176761-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_ANCILLARY_CELESTIALSKY_V1.v1", - "description": "This datasets contains three maps of L-band (wavelength = 21 cm) brightness temperature of the celestial sky (\"Galaxy\") used in the processing of the NASA Aquarius instrument data. The maps report Sky brightness temperatures in Kelvin gridded on the Earth Centered Inertial (ECI) reference frame epoch J2000. They are sampled over 721 Declinations between -90 degrees and +90 degrees and 1441 Right Ascensions between 0 degrees and 360 degrees, all evenly spaced at 0.25 degrees intervals. The brightness temperatures are assumed temporally invariant and polarization has been neglected. They include microwave continuum and atomic hydrogen line (HI) emissions. The maps differ only in how the strong radio source Cassiopeia A has been included into the whole sky background surveys: 1/ TB_no_Cas_A does not include Cassiopeia A and reports only the whole Sky surveys. 2/ TB_Cas_A_1cell spread Cas A total flux homogeneously over 1 map grid cell (i.e. 9.8572E-6 sr). 3/ TB_Cas_A_beam spreads Cas A over surrounding grid cells using a convolution by a Gaussian beam with HPBW of 35 arcmin (equivalent to the instrument used for the Sky surveys). Cassiopeia A is a supernova remnant (SNR) in the constellation Cassiopeia and the brightest extra-solar radio source in the sky at frequencies above 1.", - "license": "not-provided" - }, - { - "id": "AQUARIUS_L2_SSS_CAP_V5.v5.0", - "title": "Aquarius CAP Level 2 Sea Surface Salinity, Wind Speed & Direction Data V5.0", - "catalog": "POCLOUD", - "state_date": "2011-08-26", - "end_date": "2015-06-05", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205121315-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205121315-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L2_SSS_CAP_V5.v5.0", - "description": "The version 5.0 Aquarius CAP Level 2 product contains the fourth release of the AQUARIUS/SAC-D orbital/swath data based on the Combined Active Passive (CAP) algorithm. CAP is a P.I. produced dataset developed and provided by JPL. This Level 2 dataset contains sea surface salinity (SSS), wind speed and wind direction data derived from 3 different radiometers and the onboard scatterometer. The CAP algorithm simultaneously retrieves the salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. Each L2 data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "not-provided" - }, - { - "id": "AQUARIUS_L2_SSS_V5.v5.0", - "title": "Aquarius Official Release Level 2 Sea Surface Salinity & Wind Speed Data V5.0", - "catalog": "POCLOUD", - "state_date": "2011-08-25", - "end_date": "2015-06-07", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2036882456-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2036882456-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L2_SSS_V5.v5.0", - "description": "The version 5.0 Aquarius Level 2 product is the official third release of the orbital/swath data from AQUARIUS/SAC-D mission. The Aquarius Level 2 data set contains sea surface salinity (SSS) and wind speed data derived from 3 different radiometers and the onboard scatterometer. Included also in the Level 2 data are the horizontal and vertical brightness temperatures (TH and TV) for each radiometer, ancillary data, flags, converted telemetry and navigation data. Each data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. Enhancements to the version 5.0 Level 2 data relative to v4.0 include: improvement of the salinity retrieval geophysical model for SST bias, estimates of SSS uncertainties (systematic and random components), and inclusion of a new spiciness variable.", - "license": "not-provided" - }, - { - "id": "AQUARIUS_L3_SSS_CAP_7DAY_V5.v5.0", - "title": "Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image 7-Day Data V5.0", - "catalog": "POCLOUD", - "state_date": "2011-08-26", - "end_date": "2015-06-08", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756349-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756349-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_SSS_CAP_7DAY_V5.v5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean sea surface salinity (SSS) V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "not-provided" - }, - { - "id": "AQUARIUS_L3_SSS_CAP_MONTHLY_V5.v5.0", - "title": "Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly Data V5.0", - "catalog": "POCLOUD", - "state_date": "2011-09-01", - "end_date": "2015-06-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756350-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756350-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_SSS_CAP_MONTHLY_V5.v5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly sea surface salinity (SSS) V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "not-provided" - }, - { - "id": "AQUARIUS_L3_SSS_RAINCORRECTED_CAP_7DAY_V5.v5.0", - "title": "Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image 7-Day Data V5.0", - "catalog": "POCLOUD", - "state_date": "2011-08-26", - "end_date": "2015-06-08", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756351-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756351-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_SSS_RAINCORRECTED_CAP_7DAY_V5.v5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "not-provided" - }, - { - "id": "AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V5.v5.0", - "title": "Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image Monthly Data V5.0", - "catalog": "POCLOUD", - "state_date": "2011-09-01", - "end_date": "2015-06-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756352-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491756352-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V5.v5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "not-provided" - }, - { - "id": "AQUARIUS_L3_WIND_SPEED_CAP_7DAY_V5.v5.0", - "title": "Aquarius CAP Level 3 Wind Speed Standard Mapped Image 7-Day Data V5.0", - "catalog": "POCLOUD", - "state_date": "2011-08-26", - "end_date": "2015-06-08", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491757161-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491757161-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_WIND_SPEED_CAP_7DAY_V5.v5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "not-provided" - }, - { - "id": "AQUARIUS_L3_WIND_SPEED_CAP_MONTHLY_V5.v5.0", - "title": "Aquarius CAP Level 3 Wind Speed Standard Mapped Image Monthly Data V5.0", - "catalog": "POCLOUD", - "state_date": "2011-09-01", - "end_date": "2015-06-01", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2491757162-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2491757162-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/AQUARIUS_L3_WIND_SPEED_CAP_MONTHLY_V5.v5.0", - "description": "Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.", - "license": "not-provided" - }, { "id": "ASAC_2201_HCL_0.5.v1", "title": "0.5 hour 1 M HCl extraction data for the Windmill Islands marine sediments", @@ -1962,6 +1845,45 @@ "description": "This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products.", "license": "not-provided" }, + { + "id": "CAM5K30CF.v002", + "title": "Combined ASTER and MODIS Emissivity database over Land (CAMEL) Coefficient Monthly Global 0.05Deg V002", + "catalog": "LPCLOUD", + "state_date": "2000-04-01", + "end_date": "2017-01-01", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266335-LPCLOUD.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266335-LPCLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30CF.v002", + "description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly coefficients at 0.05 degree (~5 kilometer) resolution (CAM5K30CF). The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CF data product and are congruent to the temporally equivalent CAM5K30EM emissivity data product. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf). Provided in the CAM5K30CF product are layers for PCA coefficients, number of PCA coefficients, laboratory version, snow fraction derived from MODIS Snow Cover data (MOD10), latitude, longitude, and the CAMEL quality information. PCA coefficients are dependent on the version of lab PC data and number of PCs used.", + "license": "not-provided" + }, + { + "id": "CAM5K30EM.v002", + "title": "Combined ASTER and MODIS Emissivity database over Land (CAMEL) Emissivity Monthly Global 0.05Deg V002", + "catalog": "LPCLOUD", + "state_date": "2000-04-01", + "end_date": "2017-01-01", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266338-LPCLOUD.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266338-LPCLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30EM.v002", + "description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly emissivity at 0.05 degree (~5 kilometer) resolution (CAM5K30EM). The CAM5K30EM data product was created by combining the University of Wisconsin-Madison MODIS Infrared Emissivity dataset (UWIREMIS) and the Jet Propulsion Laboratory ASTER Global Emissivity Dataset Version 4 (GED V4). The two datasets have been integrated to capitalize on the unique strengths of each product's characteristics. The integration steps include: adjustment of ASTER GED Version 3 emissivities for vegetation and snow cover variations to produce ASTER GED Version 4, aggregation of ASTER GED Version 4 emissivities from 100 meter resolution to the University of Wisconsin-Madison MODIS Baseline Fit (UWBF) 5 kilometer resolution, merging of the 5 ASTER spectral emissivities with the UWBF emissivity to create CAMEL at 13 hinge points, and extension of the 13 hinge points to high spectral resolution (HSR) utilizing the Principal Component (PC) regression method. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf). Provided in the CAM5K30EM product are layers for the CAMEL emissivity, ASTER Normalized Difference Vegetation Index (NDVI), snow fraction derived from MODIS (MOD10), latitude, longitude, CAMEL quality, ASTER quality, and Best Fit Emissivity (BFE) quality information. ", + "license": "not-provided" + }, + { + "id": "CAM5K30UC.v002", + "title": "Combined ASTER and MODIS Emissivity database over Land (CAMEL) Uncertainty Monthly Global 0.05Deg V002", + "catalog": "LPCLOUD", + "state_date": "2000-04-01", + "end_date": "2017-01-01", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266343-LPCLOUD.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2763266343-LPCLOUD.html", + "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/CAM5K30UC.v002", + "description": "The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly emissivity uncertainty at 0.05 degree (~5 kilometer) resolution (CAM5K30UC). CAM5K30UC is an estimation of total emissivity uncertainty, comprising 3 independent components of variability: temporal, spatial, and algorithm. Each measure of uncertainty is provided for all 13 hinge points of emissivity and each latitude-longitude point. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf). Corresponding emissivity values can be found in the CAM5K30EM data product. Provided in the CAM5K30UC product are layers for algorithm uncertainty, spatial uncertainty, temporal uncertainty, total uncertainty, latitude, longitude, spectral wavelength, CAMEL quality, and total uncertainty quality information. ", + "license": "not-provided" + }, { "id": "CB4-MUX-L4-SR-1", "title": "CBERS-4/MUX - Level-4-SR - Cloud Optimized GeoTIFF", @@ -2404,45 +2326,6 @@ "description": "This dataset was produced as part of the [Crop Type Detection competition](https://zindi.africa/competitions/iclr-workshop-challenge-2-radiant-earth-computer-vision-for-crop-recognition) at the [Computer Vision for Agriculture (CV4A) Workshop](https://www.cv4gc.org/cv4a2020/) at the ICLR 2020 conference. The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 satellites. <br><br> The ground reference data were collected by the PlantVillage team, and Radiant Earth Foundation curated the training dataset after inspecting and selecting more than 4,000 fields from the original ground reference data. The dataset has been split into training and test sets (3,286 in the train and 1,402 in the test). <br><br> The dataset is cataloged in four tiles. These tiles are smaller than the original Sentinel-2 tile that has been clipped and chipped to the geographical area that labels have been collected. <br><br> Each tile has a) 13 multi-band observations throughout the growing season. Each observation includes 12 bands from Sentinel-2 L2A product, and a cloud probability layer. The twelve bands are [B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B11, B12]. The cloud probability layer is a product of the Sentinel-2 atmospheric correction algorithm (Sen2Cor) and provides an estimated cloud probability (0-100%) per pixel. All of the bands are mapped to a common 10 m spatial resolution grid.; b) A raster layer indicating the crop ID for the fields in the training set; and c) A raster layer indicating field IDs for the fields (both training and test sets). Fields with a crop ID of 0 are the test fields.", "license": "not-provided" }, - { - "id": "CWIC_REG.v1.0", - "title": "Radarsat-2 Scenes, Natural Resources Canada", - "catalog": "CCMEO", - "state_date": "2008-04-27", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2204659831-CCMEO.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2204659831-CCMEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CCMEO/collections/CWIC_REG.v1.0", - "description": "The collection represents browse images and metadata for systematically georeferenced Radarsat-2 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog http://neodf.nrcan.gc.ca OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. The imaging frequency is C Band SAR : 5405.0000 MHz. RADARSAT-2 is in a polar, sun-synchronous orbit with a period of approximately 101 minutes. The RADARSAT-2 orbit will be maintained at +\\/- 1 km in across track direction. This orbit maintenance is suitable for InSAR data collection. The geo-location accuracy of RADARSAT-2 products varies with product type. It is currently estimated at +\\/- 30 m for Standard beam products. The revisit period for RADARSAT-2 depends on the beam mode, incidence angle and geographic location of the area of interest. In general, revisit is more frequent at the poles than the equator and the wider swath modes have higher revisit than t he narrow swath modes.", - "license": "not-provided" - }, - { - "id": "CWIC_REG_RCM.v1.0", - "title": "RCM (Radarsat Constellation Mission ) Products, Natural Resources Canada", - "catalog": "CCMEO", - "state_date": "2019-06-12", - "end_date": "2026-06-12", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2204659595-CCMEO.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2204659595-CCMEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CCMEO/collections/CWIC_REG_RCM.v1.0", - "description": "The collection represents products and metadata for georeferenced Radarsat Constellation Mission ( RCM ) satellite scenes. Metadata discovery and product ordering is achieved using the online catalog https://www.eodms-sgdot.nrcan-rncan.gc.ca/index-en.html OR by using the CWIC OpenSearch OSDD : http://cwic.csiss.gmu.edu/cwicv1/discovery. ", - "license": "not-provided" - }, - { - "id": "CWIC_REG_Radarsat-1.v1.0", - "title": "Radarsat-1 Scenes, Natural Resources Canada", - "catalog": "CCMEO", - "state_date": "1996-01-11", - "end_date": "2013-03-29", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2204658925-CCMEO.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2204658925-CCMEO.html", - "href": "https://cmr.earthdata.nasa.gov/stac/CCMEO/collections/CWIC_REG_Radarsat-1.v1.0", - "description": "The collection represents browse images and metadata for systematically georeferenced Radarsat-1 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog https://neodf.nrcan.gc.ca/neodf_cat3 OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. Radarsat-1 operates at 5.3 GHz. (C-Band). It is in a sun-synchronous orbit. Image resolution is in the range 8-100 meters.", - "license": "not-provided" - }, { "id": "Catlin_Arctic_Survey.v0", "title": "2011 R/V Catlin cruise in the Arctic Ocean", @@ -2534,45 +2417,6 @@ "description": "The aerial photography inventoried by the Pilot Land Data System (PLDS) at NASA AMES Research Center has been transferred to the USGS EROS Data Center. The photos were obtained from cameras mounted on high and medium altitude aircraft based at the NASA Ames Research Center. Several cameras with varying focal lengths, lenses and film formats are used, but the Wild RC-10 camera with a focal length of 152 millimeters and a 9 by 9 inch film format is most common. The positive transparencies are typically used for ancillary ground checks in conjunctions with digital processing for the same sites. The aircraft flights, specifically requested by scientists performing approved research, often simultaneously collect data using other sensors on board (e.g. Thematic Mapper Simulators (TMS) and Thermal Infrared Multispectral Scanners). High altitude color infrared photography is used regularly by government agencies for such applications as crop yield forecasting, timber inventory and defoliation assessment, water resource management, land use surveys, water pollution monitoring, and natural disaster assessment. To order, specify the latitude and longitude of interest. You will then be given a list of photos available for that location. In some cases, \"flight books\" are available at EDC that describe the nature of the mission during which the photos were taken and other attribute information. The customer service personnel have access to these books for those photo sets for which the books exist.", "license": "not-provided" }, - { - "id": "ECO_L2G_CLOUD.v002", - "title": "ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m V002", - "catalog": "LPCLOUD", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2076113561-LPCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2076113561-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L2G_CLOUD.v002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website(https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m (ECO_L2G_CLOUD) Version 2 data product is derived using a single-channel Bayesian cloud threshold with a look-up-table (LUT) approach. The ECO_L2G_CLOUD product provides a cloud mask that can be used to determine cloud cover for accurate land surface temperature and evapotranspiration estimation. This data product is a gridded version of the ECO_L2_CLOUD Version 2 product that was resampled using nearest neighbor, projected to a globally snapped 0.0006\u00b0 grid, and repackaged as the ECO_L2G_CLOUD Version 2 data product. The ECO_L2G_CLOUD Version 2 data product contains two cloud mask layers: cloud confidence and final cloud mask. Information on how to interpret the cloud confidence and cloud mask layers is provided in Table 7 of the ECO_L2_CLOUD Version 2 User Guide. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. ", - "license": "not-provided" - }, - { - "id": "ECO_L3G_MET.v002", - "title": "ECOSTRESS Gridded Downscaled Meteorology Instantaneous L3 Global 70 m V002", - "catalog": "LPCLOUD", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -54, 180, 54", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2074897737-LPCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2074897737-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L3G_MET.v002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found in Figure 2 on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Downscaled Meteorology Instantaneous L3 Global 70 m (ECO_L3G_MET) Version 2 data product provides instantaneous near-surface air temperature (Ta) and relative humidity (RH) estimates downscaled using linear regression. The linear regression uses up-sampled surface temperature (ST), normalized difference vegetation index (NDVI), and albedo as predictor variables and Ta or RH from Goddard Earth Observing System Version 5 (GEOS-5) Forward Processing (FP) as response variables for their relative outputs. Once the regression coefficients have been determined, they are applied to the 70 meter (m) ST, NDVI, and albedo as a first pass, which is then bias corrected using a GEOS-5 FP image. This data product is mosaicked from the L3 tiled MET (ECO_L3T_MET (https://doi.org/10.5067/ECOSTRESS/ECO_L3T_MET.002)) product, projected to a globally snapped 0.0006\u00b0 grid, and has a spatial resolution of 70 meters (m). The ECO_L3G_MET Version 2 data product contains four layers distributed in an HDF5 format file including Ta, RH, cloud mask, and water mask. ", - "license": "not-provided" - }, - { - "id": "ECO_L3G_SM.v002", - "title": "ECOSTRESS Gridded Downscaled Soil Moisture Instantaneous L3 Global 70 m V002", - "catalog": "LPCLOUD", - "state_date": "2018-07-09", - "end_date": "", - "bbox": "-180, -90, 180, 90", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2074890845-LPCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2074890845-LPCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/ECO_L3G_SM.v002", - "description": "The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52\u00b0 N and 52\u00b0 S latitudes. A map of the acquisition coverage can be found on the ECOSTRESS website. The ECOSTRESS Gridded Downscaled Soil Moisture Instantaneous L3 Global 70 m (ECO_L3G_SM) Version 2 data product provides instantaneous soil moisture (SM) estimates downscaled using linear regression. The linear regression uses up-sampled surface temperature (ST), normalized difference vegetation index (NDVI), and albedo as predictor variables and SM from Goddard Earth Observing System Version 5 (GEOS-5) Forward Processing (FP) as response variables for their relative outputs. Once the regression coefficients have been determined, they are applied to the 70 meter (m) ST, NDVI, and albedo as a first pass, which is then bias corrected using a GEOS-5 FP image. This data product is mosaicked from the L3 tiled SM (ECO_L3T_SM) product, is projected to a globally snapped 0.0006\u00b0 grid, and has a spatial resolution of 70 m. The ECO_L3G_SM Version 2 data product contains three layers distributed in an HDF5 file including SM, cloud mask, and water mask. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU, and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach, only Thermal Infrared (TIR) bands 2, 4, and 5 are being downloaded. The data products are the same as before, but the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.", - "license": "not-provided" - }, { "id": "EN1_MDSI_MER_FRS_1P.v4", "title": "Full Resolution Full Swath Geolocated and Calibrated TOA Radiance", @@ -4003,19 +3847,6 @@ "description": "The QuickBird Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe QuickBird-2 satellite using the Ball High Resolution Camera 60 across the global land surface from October 2001 to January 2015. This data product includes panchromatic imagery with a spatial resolution of 0.55m at nadir and a temporal resolution of 2.5 to 5.6 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.", "license": "not-provided" }, - { - "id": "SEAGLIDER_GUAM_2019.vV1", - "title": "Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020)", - "catalog": "POCLOUD", - "state_date": "2019-10-03", - "end_date": "2020-01-15", - "bbox": "143.63035, 13.39476, 144.613, 14.71229", - "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.json", - "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/POCLOUD/collections/SEAGLIDER_GUAM_2019.vV1", - "description": "This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14\u00b0N 144\u00b0E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington.", - "license": "not-provided" - }, { "id": "SeaWiFS_GAC_L1.v2", "title": "OrbView-2 SeaWiFS Level-1A Global Area Coverage (GAC) Data, version 2", diff --git a/nasa_cmr_catalog.tsv b/nasa_cmr_catalog.tsv index 04e317d17..2d5c28bad 100644 --- a/nasa_cmr_catalog.tsv +++ b/nasa_cmr_catalog.tsv @@ -99,15 +99,6 @@ ALOS_PRISM_L1B Alos PRISM L1B ESA 2006-07-09 2011-03-31 -180, -90, 180, 90 https AM1EPHNE.v6.1NRT Files containing only extrapolated orbital metadata, to be read via SDP Toolkit, Binary Format LANCEMODIS 2016-01-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426293893-LANCEMODIS.json AM1EPHNE is the Terra Near Real Time (NRT) 2-hour spacecraft Extrapolated ephemeris data file in native format. The file name format is the following: AM1EPHNE.Ayyyyddd.hhmm.vvv.yyyydddhhmmss where from left to right: E = Extrapolated; N = Native format; A = AM1 (Terra); yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID; yyyy = production year, ddd = Julian production day, hh = production hour, mm = production minute, and ss = production second. Data set information: http://modis.gsfc.nasa.gov/sci_team/ not-provided AMZ1-WFI-L4-SR-1 AMAZONIA-1/WFI - Level-4-SR - Cloud Optimized GeoTIFF INPE 2024-01-01 2024-06-09 -135.151782, -45.613218, 106.18473, 63.78312 https://cmr.earthdata.nasa.gov/search/concepts/C3108204639-INPE.json AMAZONIA-1/WFI Surface Reflectance product over Brazil. L4 SR product provides orthorectified surface reflectance images. This dataset is provided as Cloud Optimized GeoTIFF (COG). not-provided APSF Aerial Photo Single Frames USGS_LTA 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567654-USGS_LTA.json The Aerial Photography Single Frame Records collection is a large and diverse group of imagery acquired by Federal organizations from 1937 to the present. Over 6.4 million frames of photographic images are available for download as medium and high resolution digital products. The high resolution data provide access to photogrammetric quality scans of aerial photographs with sufficient resolution to reveal landscape detail and to facilitate the interpretability of landscape features. Coverage is predominantly over the United States and includes portions of Central America and Puerto Rico. Individual photographs vary in scale, size, film type, quality, and coverage. not-provided -AQUARIUS_ANCILLARY_CELESTIALSKY_V1.v1 Aquarius Celestial Sky Microwave Emission Map Ancillary Dataset V1.0 POCLOUD 2011-09-01 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2617176761-POCLOUD.json "This datasets contains three maps of L-band (wavelength = 21 cm) brightness temperature of the celestial sky (""Galaxy"") used in the processing of the NASA Aquarius instrument data. The maps report Sky brightness temperatures in Kelvin gridded on the Earth Centered Inertial (ECI) reference frame epoch J2000. They are sampled over 721 Declinations between -90 degrees and +90 degrees and 1441 Right Ascensions between 0 degrees and 360 degrees, all evenly spaced at 0.25 degrees intervals. The brightness temperatures are assumed temporally invariant and polarization has been neglected. They include microwave continuum and atomic hydrogen line (HI) emissions. The maps differ only in how the strong radio source Cassiopeia A has been included into the whole sky background surveys: 1/ TB_no_Cas_A does not include Cassiopeia A and reports only the whole Sky surveys. 2/ TB_Cas_A_1cell spread Cas A total flux homogeneously over 1 map grid cell (i.e. 9.8572E-6 sr). 3/ TB_Cas_A_beam spreads Cas A over surrounding grid cells using a convolution by a Gaussian beam with HPBW of 35 arcmin (equivalent to the instrument used for the Sky surveys). Cassiopeia A is a supernova remnant (SNR) in the constellation Cassiopeia and the brightest extra-solar radio source in the sky at frequencies above 1." not-provided -AQUARIUS_L2_SSS_CAP_V5.v5.0 Aquarius CAP Level 2 Sea Surface Salinity, Wind Speed & Direction Data V5.0 POCLOUD 2011-08-26 2015-06-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205121315-POCLOUD.json The version 5.0 Aquarius CAP Level 2 product contains the fourth release of the AQUARIUS/SAC-D orbital/swath data based on the Combined Active Passive (CAP) algorithm. CAP is a P.I. produced dataset developed and provided by JPL. This Level 2 dataset contains sea surface salinity (SSS), wind speed and wind direction data derived from 3 different radiometers and the onboard scatterometer. The CAP algorithm simultaneously retrieves the salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. Each L2 data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. not-provided -AQUARIUS_L2_SSS_V5.v5.0 Aquarius Official Release Level 2 Sea Surface Salinity & Wind Speed Data V5.0 POCLOUD 2011-08-25 2015-06-07 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2036882456-POCLOUD.json The version 5.0 Aquarius Level 2 product is the official third release of the orbital/swath data from AQUARIUS/SAC-D mission. The Aquarius Level 2 data set contains sea surface salinity (SSS) and wind speed data derived from 3 different radiometers and the onboard scatterometer. Included also in the Level 2 data are the horizontal and vertical brightness temperatures (TH and TV) for each radiometer, ancillary data, flags, converted telemetry and navigation data. Each data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. Enhancements to the version 5.0 Level 2 data relative to v4.0 include: improvement of the salinity retrieval geophysical model for SST bias, estimates of SSS uncertainties (systematic and random components), and inclusion of a new spiciness variable. not-provided -AQUARIUS_L3_SSS_CAP_7DAY_V5.v5.0 Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image 7-Day Data V5.0 POCLOUD 2011-08-26 2015-06-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491756349-POCLOUD.json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean sea surface salinity (SSS) V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. not-provided -AQUARIUS_L3_SSS_CAP_MONTHLY_V5.v5.0 Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly Data V5.0 POCLOUD 2011-09-01 2015-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491756350-POCLOUD.json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly sea surface salinity (SSS) V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. not-provided -AQUARIUS_L3_SSS_RAINCORRECTED_CAP_7DAY_V5.v5.0 Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image 7-Day Data V5.0 POCLOUD 2011-08-26 2015-06-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491756351-POCLOUD.json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. not-provided -AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V5.v5.0 Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image Monthly Data V5.0 POCLOUD 2011-09-01 2015-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491756352-POCLOUD.json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. not-provided -AQUARIUS_L3_WIND_SPEED_CAP_7DAY_V5.v5.0 Aquarius CAP Level 3 Wind Speed Standard Mapped Image 7-Day Data V5.0 POCLOUD 2011-08-26 2015-06-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491757161-POCLOUD.json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the 7-Day running mean wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. not-provided -AQUARIUS_L3_WIND_SPEED_CAP_MONTHLY_V5.v5.0 Aquarius CAP Level 3 Wind Speed Standard Mapped Image Monthly Data V5.0 POCLOUD 2011-09-01 2015-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2491757162-POCLOUD.json Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales. This particular dataset is the monthly wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL. The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. not-provided ASAC_2201_HCL_0.5.v1 0.5 hour 1 M HCl extraction data for the Windmill Islands marine sediments AU_AADC 1997-10-01 1999-03-31 110, -66, 110, -66 https://cmr.earthdata.nasa.gov/search/concepts/C1214305813-AU_AADC.json These results are for the 0.5 hour extraction of HCl. See also the metadata records for the 4 hour extraction of HCl, and the time trial data for 1 M HCl extractions. A regional survey of potential contaminants in marine or estuarine sediments is often one of the first steps in a post-disturbance environmental impact assessment. Of the many different chemical extraction or digestion procedures that have been proposed to quantify metal contamination, partial acid extractions are probably the best overall compromise between selectivity, sensitivity, precision, cost and expediency. The extent to which measured metal concentrations relate to the anthropogenic fraction that is bioavailable is contentious, but is one of the desired outcomes of an assessment or prediction of biological impact. As part of a regional survey of metal contamination associated with Australia's past waste management activities in Antarctica, we wanted to identify an acid type and extraction protocol that would allow a reasonable definition of the anthropogenic bioavailable fraction for a large number of samples. From a kinetic study of the 1 M HCl extraction of two certified Certified Reference Materials (MESS-2 and PACS-2) and two Antarctic marine sediments, we concluded that a 4 hour extraction time allows the equilibrium dissolution of relatively labile metal contaminants, but does not favour the extraction of natural geogenic metals. In a regional survey of 88 marine samples from the Casey Station area of East Antarctica, the 4 h extraction procedure correlated best with biological data, and most clearly identified those sediments thought to be contaminated by runoff from abandoned waste disposal sites. Most importantly the 4 hour extraction provided better definition of the low to moderately contaminated locations by picking up small differences in anthropogenic metal concentrations. For the purposes of inter-regional comparison, we recommend a 4 hour 1 M HCl acid extraction as a standard method for assessing metal contamination in Antarctica. The fields in this dataset are Location Site Replicate Antimony Arsenic Cadmium Chromium Copper Iron Lead Manganese Nickel Silver Tin Zinc not-provided ASAC_2357.v2 10 year trend of levels of organochlorine pollutants in Antarctic seabirds AU_AADC 2003-12-16 2004-01-18 77.59, -68.93, 77.99, -68.755 https://cmr.earthdata.nasa.gov/search/concepts/C1214305884-AU_AADC.json Metadata record for data from ASAC Project 2357 See the link below for public details on this project. ---- Public Summary from Project ---- Contaminants like PCBs and DDE have hardly been used Antarctica. Hence, this is an excellent place to monitor global background levels of these organochlorines. In this project concentrations in penguins and petrels will be compared to 10 years ago, which will show time trends of global background contamination levels. Data set description From several birds from Hop Island, Rauer Islands near Davis, samples were collected from preenoil (oil that birds excrete to preen their feathers. This preenoil was then analysed for organochlorine pollutants like polychlorinated biphenyls, (PCBs), hexachlorobenzene (HCB), DDE and dieldrin. The species under investigation were the Adelie penguin (Pygoscelis adeliae) and the Southern Fulmar (Fulmarus glacialoides). The samples were collected from adult breeding birds, and stored in -20 degrees C as soon as possible. The analysis was done with relatively standard but very optimised methods, using a gas-chromatograph and mass-selective detection. Data sheets: The data are available in excel-sheets, located at Alterra, The Netherlands (the affiliation of the PI Nico van den Brink.). Data are available on PCB153 (polychlorinated biphenyl congener numbered 153), hexachlorobenzene (HCB), DDE (a metabolite of the pesticide DDT), and dieldrin (an insecticide). The metadata are in 4 sheets (in meta data 2357.xls): 1. 'Concentrations fulmars' 2. 'Morphometric data fulmars' 3. 'Concentrations Adelies' 4. 'Morphometric data Adelies' The column headings are: 1. 'Concentrations fulmars' - Fulmar: bird number, corresponds with sheet 'morphometric data fulmars'. - PCB153: concentration of PCB-congener 153 (ng/g lipids) - HCB: concentration of hexachlorobenzene (ng/g lipids) - DDE: concentration of DDE (ng/g lipids) - Dieldrin: concentration of dieldrin (ng/g lipids) - Sample size weight of collected amount of preenoil 2. Morphometric data fulmars - Fulmar: bird number, corresponds with sheet 'Concentrations fulmars'. - Bill Length (mm): length of bill (tip to base) - Head Length (mm): length of head (tip of bill to back of head) - Tarsus (mm): length of tarsus - Wing Length (cm): length of right wing - Weight (kg): weight of bird (without bag) 3. 'Concentrations Adelies' Adelie: bird number, corresponds with sheet 'morphometric data Adelies'. - PCB153: concentration of PCB-congener 153 (ng/g lipids) - HCB: concentration of hexachlorobenzene (ng/g lipids) - DDE: concentration of DDE (ng/g lipids) - Dieldrin: concentration of dieldrin (ng/g lipids) - Sample size weight of collected amount of preenoil 4. 'Morphometric data Adelies' - Adelie: bird number, corresponds with sheet 'Concentrations Adelies'. - Bill (mm): length of bill (tip to base) - Head Length (mm): length of head (tip of bill to back of head) - Tarsus (mm): length of tarsus - Flipper Length (cm): length of right flipper (wing) - Weight (kg): weight of bird (without bag) In sheets on concentrations: less than d.l.: concentrations below detection limits. not-provided AST14DEM.v003 ASTER Digital Elevation Model V003 LPDAAC_ECS 2000-03-06 -180, -83, 180, 83 https://cmr.earthdata.nasa.gov/search/concepts/C1299783579-LPDAAC_ECS.json The ASTER Digital Elevation Model (AST14DEM) product is generated (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) using bands 3N (nadir-viewing) and 3B (backward-viewing) of an (ASTER Level 1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) image acquired by the Visible and Near Infrared (VNIR) sensor. The VNIR subsystem includes two independent telescope assemblies that facilitate the generation of stereoscopic data. The band 3 stereo pair is acquired in the spectral range of 0.78 and 0.86 microns with a base-to-height ratio of 0.6 and an intersection angle of 27.7 degrees. There is a time lag of approximately one minute between the acquisition of the nadir and backward images. For a better understanding, refer to this (diagram) (https://lpdaac.usgs.gov/documents/301/ASTER_Along_Track_Imaging_Geometry.png) depicting the along-track imaging geometry of the ASTER VNIR nadir and backward-viewing sensors. The accuracy of the new LP DAAC produced DEMs will meet or exceed accuracy specifications set for the ASTER relative DEMs by the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/81/AST14_ATBD.pdf). Users likely will find that the DEMs produced by the new LP DAAC system have accuracies approaching those specified in the ATBD for absolute DEMs. Validation testing has shown that DEMs produced by the new system frequently are more accurate than 25 meters root mean square error (RMSE) in xyz dimensions. Improvements/Changes from Previous Versions As of January 2021, the LP DAAC has implemented version 3.0 of the Sensor Information Laboratory Corporation ASTER DEM/Ortho (SILCAST) software, which is used to generate the Level 2 on-demand ASTER Orthorectified and Digital Elevation Model (DEM) products (AST14). The updated software provides digital elevation extraction and orthorectification from ASTER L1B input data without needing to enter ground control points or depending on external global DEMs at 30-arc-second resolution (GTOPO30). It utilizes the ephemeris and attitude data derived from both the ASTER instrument and the Terra spacecraft platform. The outputs are geoid height-corrected and waterbodies are automatically detected in this version. Users will notice differences between AST14DEM, AST14DMO, and AST14OTH products ordered before January 2021 (generated with SILCAST V1) and those generated with the updated version of the production software (version 3.0). Differences may include slight elevation changes over different surface types, including waterbodies. Differences have also been observed over cloudy portions of ASTER scenes. Additional information on SILCAST version 3.0 can be found on the SILCAST website (http://www.silc.co.jp/en/products.html). Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427. not-provided @@ -150,6 +141,9 @@ AgriFieldNet Competition Dataset.v1 AgriFieldNet Competition Dataset MLHUB 2020- BigEarthNet.v1 BigEarthNet MLHUB 2020-01-01 2023-01-01 -9.0002335, 36.9569567, 31.5984391, 68.021682 https://cmr.earthdata.nasa.gov/search/concepts/C2781412035-MLHUB.json BigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of 590,326 Sentinel-2 image patches. To construct BigEarthNet, 125 Sentinel-2 tiles acquired between June 2017 and May 2018 over the 10 countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) of Europe were initially selected. All the tiles were atmospherically corrected by the Sentinel-2 Level 2A product generation and formatting tool (sen2cor). Then, they were divided into 590,326 non-overlapping image patches. Each image patch was annotated by the multiple land-cover classes (i.e., multi-labels) that were provided from the CORINE Land Cover database of the year 2018 (CLC 2018). not-provided C1_PANA_STUC00GTD.v1 Cartosat-1 PANA Standard Products ISRO 2005-08-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1293271378-ISRO.json This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products. not-provided C1_PANF_STUC00GTD.v1 Cartosat-1 PANF Standard Products ISRO 2005-08-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1293271427-ISRO.json This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products. not-provided +CAM5K30CF.v002 Combined ASTER and MODIS Emissivity database over Land (CAMEL) Coefficient Monthly Global 0.05Deg V002 LPCLOUD 2000-04-01 2017-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763266335-LPCLOUD.json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly coefficients at 0.05 degree (~5 kilometer) resolution (CAM5K30CF). The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CF data product and are congruent to the temporally equivalent CAM5K30EM emissivity data product. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf). Provided in the CAM5K30CF product are layers for PCA coefficients, number of PCA coefficients, laboratory version, snow fraction derived from MODIS Snow Cover data (MOD10), latitude, longitude, and the CAMEL quality information. PCA coefficients are dependent on the version of lab PC data and number of PCs used. not-provided +CAM5K30EM.v002 Combined ASTER and MODIS Emissivity database over Land (CAMEL) Emissivity Monthly Global 0.05Deg V002 LPCLOUD 2000-04-01 2017-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763266338-LPCLOUD.json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly emissivity at 0.05 degree (~5 kilometer) resolution (CAM5K30EM). The CAM5K30EM data product was created by combining the University of Wisconsin-Madison MODIS Infrared Emissivity dataset (UWIREMIS) and the Jet Propulsion Laboratory ASTER Global Emissivity Dataset Version 4 (GED V4). The two datasets have been integrated to capitalize on the unique strengths of each product's characteristics. The integration steps include: adjustment of ASTER GED Version 3 emissivities for vegetation and snow cover variations to produce ASTER GED Version 4, aggregation of ASTER GED Version 4 emissivities from 100 meter resolution to the University of Wisconsin-Madison MODIS Baseline Fit (UWBF) 5 kilometer resolution, merging of the 5 ASTER spectral emissivities with the UWBF emissivity to create CAMEL at 13 hinge points, and extension of the 13 hinge points to high spectral resolution (HSR) utilizing the Principal Component (PC) regression method. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf). Provided in the CAM5K30EM product are layers for the CAMEL emissivity, ASTER Normalized Difference Vegetation Index (NDVI), snow fraction derived from MODIS (MOD10), latitude, longitude, CAMEL quality, ASTER quality, and Best Fit Emissivity (BFE) quality information. not-provided +CAM5K30UC.v002 Combined ASTER and MODIS Emissivity database over Land (CAMEL) Uncertainty Monthly Global 0.05Deg V002 LPCLOUD 2000-04-01 2017-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2763266343-LPCLOUD.json The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined ASTER and MODIS Emissivity for Land (CAMEL) dataset provides monthly emissivity uncertainty at 0.05 degree (~5 kilometer) resolution (CAM5K30UC). CAM5K30UC is an estimation of total emissivity uncertainty, comprising 3 independent components of variability: temporal, spatial, and algorithm. Each measure of uncertainty is provided for all 13 hinge points of emissivity and each latitude-longitude point. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/219/cam5k30_v2_user_guide_atbd.pdf). Corresponding emissivity values can be found in the CAM5K30EM data product. Provided in the CAM5K30UC product are layers for algorithm uncertainty, spatial uncertainty, temporal uncertainty, total uncertainty, latitude, longitude, spectral wavelength, CAMEL quality, and total uncertainty quality information. not-provided CB4-MUX-L4-SR-1 CBERS-4/MUX - Level-4-SR - Cloud Optimized GeoTIFF INPE 2016-01-01 2024-06-09 -79.392902, -40.793661, 49.863137, 28.185483 https://cmr.earthdata.nasa.gov/search/concepts/C3108204643-INPE.json CBERS-4/MUX Surface Reflectance product over Brazil. L4 SR product provides orthorectified surface reflectance images. This dataset is provided as Cloud Optimized GeoTIFF (COG). not-provided CB4-WFI-L4-SR-1 CBERS-4/WFI - Level-4-SR - Cloud Optimized GeoTIFF INPE 2016-01-01 2024-06-09 -84.468045, -46.643149, 57.533125, 42.454712 https://cmr.earthdata.nasa.gov/search/concepts/C3108204413-INPE.json CBERS-4/WFI Surface Reflectance product over Brazil. L4 SR product provides orthorectified surface reflectance images. This dataset is provided as Cloud Optimized GeoTIFF (COG). not-provided CB4A-WFI-L4-SR-1 CBERS-4A/WFI - Level-4-SR - Cloud Optimized GeoTIFF INPE 2020-01-01 2024-06-09 -81.507167, -38.111915, 51.482289, 39.663251 https://cmr.earthdata.nasa.gov/search/concepts/C3108204696-INPE.json CBERS-4A/WFI Surface Reflectance product over Brazil. L4 SR product provides orthorectified surface reflectance images. This dataset is provided as Cloud Optimized GeoTIFF (COG). not-provided @@ -184,9 +178,6 @@ CLDMSK_L2_VIIRS_NOAA20_NRT.v1 VIIRS/NOAA-20 Cloud Mask L2 6-Min Swath 750m (NRT) CLDMSK_L2_VIIRS_SNPP_NRT.v1 VIIRS/SNPP Cloud Mask L2 6-Min Swath 750m (NRT) ASIPS 2019-04-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1607563719-ASIPS.json The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_SNPP is the shortname for the SNPP VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the SNPP VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the SNPP VIIRS L2 Cloud mask is 750 meters. not-provided CSU Synthetic Attribution Benchmark Dataset.v1 CSU Synthetic Attribution Benchmark Dataset MLHUB 2020-01-01 2023-01-01 -179.5, -89.5, 179.5, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2781411899-MLHUB.json This is a synthetic dataset that can be used by users that are interested in benchmarking methods of explainable artificial intelligence (XAI) for geoscientific applications. The dataset is specifically inspired from a climate forecasting setting (seasonal timescales) where the task is to predict regional climate variability given global climate information lagged in time. The dataset consists of a synthetic input X (series of 2D arrays of random fields drawn from a multivariate normal distribution) and a synthetic output Y (scalar series) generated by using a nonlinear function F: R^d -> R.<br><br>The synthetic input aims to represent temporally independent realizations of anomalous global fields of sea surface temperature, the synthetic output series represents some type of regional climate variability that is of interest (temperature, precipitation totals, etc.) and the function F is a simplification of the climate system.<br><br>Since the nonlinear function F that is used to generate the output given the input is known, we also derive and provide the attribution of each output value to the corresponding input features. Using this synthetic dataset users can train any AI model to predict Y given X and then implement XAI methods to interpret it. Based on the “ground truth” of attribution of F the user can assess the faithfulness of any XAI method.<br><br>NOTE: the spatial configuration of the observations in the NetCDF database file conform to the planetocentric coordinate system (89.5N - 89.5S, 0.5E - 359.5E), where longitude is measured in the positive heading east from the prime meridian. not-provided CV4A Kenya Crop Type Competition.v1 CV4A Kenya Crop Type Competition MLHUB 2020-01-01 2023-01-01 34.0220685, 0.1670219, 34.38443, 0.7160466 https://cmr.earthdata.nasa.gov/search/concepts/C2781412688-MLHUB.json This dataset was produced as part of the [Crop Type Detection competition](https://zindi.africa/competitions/iclr-workshop-challenge-2-radiant-earth-computer-vision-for-crop-recognition) at the [Computer Vision for Agriculture (CV4A) Workshop](https://www.cv4gc.org/cv4a2020/) at the ICLR 2020 conference. The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 satellites. <br><br> The ground reference data were collected by the PlantVillage team, and Radiant Earth Foundation curated the training dataset after inspecting and selecting more than 4,000 fields from the original ground reference data. The dataset has been split into training and test sets (3,286 in the train and 1,402 in the test). <br><br> The dataset is cataloged in four tiles. These tiles are smaller than the original Sentinel-2 tile that has been clipped and chipped to the geographical area that labels have been collected. <br><br> Each tile has a) 13 multi-band observations throughout the growing season. Each observation includes 12 bands from Sentinel-2 L2A product, and a cloud probability layer. The twelve bands are [B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B11, B12]. The cloud probability layer is a product of the Sentinel-2 atmospheric correction algorithm (Sen2Cor) and provides an estimated cloud probability (0-100%) per pixel. All of the bands are mapped to a common 10 m spatial resolution grid.; b) A raster layer indicating the crop ID for the fields in the training set; and c) A raster layer indicating field IDs for the fields (both training and test sets). Fields with a crop ID of 0 are the test fields. not-provided -CWIC_REG.v1.0 Radarsat-2 Scenes, Natural Resources Canada CCMEO 2008-04-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2204659831-CCMEO.json The collection represents browse images and metadata for systematically georeferenced Radarsat-2 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog http://neodf.nrcan.gc.ca OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. The imaging frequency is C Band SAR : 5405.0000 MHz. RADARSAT-2 is in a polar, sun-synchronous orbit with a period of approximately 101 minutes. The RADARSAT-2 orbit will be maintained at +\/- 1 km in across track direction. This orbit maintenance is suitable for InSAR data collection. The geo-location accuracy of RADARSAT-2 products varies with product type. It is currently estimated at +\/- 30 m for Standard beam products. The revisit period for RADARSAT-2 depends on the beam mode, incidence angle and geographic location of the area of interest. In general, revisit is more frequent at the poles than the equator and the wider swath modes have higher revisit than t he narrow swath modes. not-provided -CWIC_REG_RCM.v1.0 RCM (Radarsat Constellation Mission ) Products, Natural Resources Canada CCMEO 2019-06-12 2026-06-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2204659595-CCMEO.json The collection represents products and metadata for georeferenced Radarsat Constellation Mission ( RCM ) satellite scenes. Metadata discovery and product ordering is achieved using the online catalog https://www.eodms-sgdot.nrcan-rncan.gc.ca/index-en.html OR by using the CWIC OpenSearch OSDD : http://cwic.csiss.gmu.edu/cwicv1/discovery. not-provided -CWIC_REG_Radarsat-1.v1.0 Radarsat-1 Scenes, Natural Resources Canada CCMEO 1996-01-11 2013-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2204658925-CCMEO.json The collection represents browse images and metadata for systematically georeferenced Radarsat-1 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog https://neodf.nrcan.gc.ca/neodf_cat3 OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. Radarsat-1 operates at 5.3 GHz. (C-Band). It is in a sun-synchronous orbit. Image resolution is in the range 8-100 meters. not-provided Catlin_Arctic_Survey.v0 2011 R/V Catlin cruise in the Arctic Ocean OB_DAAC 2011-03-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360181-OB_DAAC.json Measurements made in the Arctic Ocean by the RV Catlin in 2011. not-provided Chesapeake Land Cover.v1 Chesapeake Land Cover MLHUB 2020-01-01 2023-01-01 -80.8092703, 36.5643108, -74.2529408, 43.9973515 https://cmr.earthdata.nasa.gov/search/concepts/C2781412641-MLHUB.json This dataset contains high-resolution aerial imagery from the USDA NAIP program, high-resolution land cover labels from the Chesapeake Conservancy, low-resolution land cover labels from the USGS NLCD 2011 dataset, low-resolution multi-spectral imagery from Landsat 8, and high-resolution building footprint masks from Microsoft Bing, formatted to accelerate machine learning research into land cover mapping. The Chesapeake Conservancy spent over 10 months and $1.3 million creating a consistent six-class land cover dataset covering the Chesapeake Bay watershed. While the purpose of the mapping effort by the Chesapeake Conservancy was to create land cover data to be used in conservation efforts, the same data can be used to train machine learning models that can be applied over even wider areas. not-provided Cloud to Street - Microsoft flood dataset.v1 Cloud to Street - Microsoft flood dataset MLHUB 2020-01-01 2023-01-01 -96.631888, -25.250962, 141.118143, 48.745167 https://cmr.earthdata.nasa.gov/search/concepts/C2781412798-MLHUB.json The C2S-MS Floods Dataset is a dataset of global flood events with labeled Sentinel-1 & Sentinel-2 pairs. There are 900 sets (1800 total) of near-coincident Sentinel-1 and Sentinel-2 chips (512 x 512 pixels) from 18 global flood events. Each chip contains a water label for both Sentinel-1 and Sentinel-2, as well as a cloud/cloud shadow mask for Sentinel-2. The dataset was constructed by Cloud to Street in collaboration with and funded by the Microsoft Planetary Computer team. not-provided @@ -194,9 +185,6 @@ DLG100K 1:100,000-scale Digital Line Graphs (DLG) from the U.S. Geological Surve E06_OCM_GAC_STGO00GND.v1.0 EOS-06 OCM Global Area Coverage (GAC) - 1080m resolution Standard Products - Oceansat Series ISRO 2023-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2866789316-ISRO.json The main objectives of E06 are to study surface winds and ocean surface strata, observation of chlorophyll concentrations, monitoring of phytoplankton blooms, study of atmospheric aerosols and suspended sediments in the water. This has global coverage for every 2 days and sun glint free data for every 13 days. not-provided E06_OCM_LAC_STGO00GND.v1.0 EOS-06 OCM Local Area Coverage (LAC) - 366m Resolution Standard Products - Oceansat Series ISRO 2023-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2866790547-ISRO.json The main objectives of E06 are to study surface winds and ocean surface strata, observation of chlorophyll concentrations, monitoring of phytoplankton blooms, study of atmospheric aerosols and suspended sediments in the water. not-provided EARTH_LAND_USGS_AMES_AIR_PHOTOS Aerial Photographs (from AMES Pilot Land Data System); USGS EDC, Sioux Falls USGS_LTA 1970-01-01 -180, 20, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1220566371-USGS_LTA.json "The aerial photography inventoried by the Pilot Land Data System (PLDS) at NASA AMES Research Center has been transferred to the USGS EROS Data Center. The photos were obtained from cameras mounted on high and medium altitude aircraft based at the NASA Ames Research Center. Several cameras with varying focal lengths, lenses and film formats are used, but the Wild RC-10 camera with a focal length of 152 millimeters and a 9 by 9 inch film format is most common. The positive transparencies are typically used for ancillary ground checks in conjunctions with digital processing for the same sites. The aircraft flights, specifically requested by scientists performing approved research, often simultaneously collect data using other sensors on board (e.g. Thematic Mapper Simulators (TMS) and Thermal Infrared Multispectral Scanners). High altitude color infrared photography is used regularly by government agencies for such applications as crop yield forecasting, timber inventory and defoliation assessment, water resource management, land use surveys, water pollution monitoring, and natural disaster assessment. To order, specify the latitude and longitude of interest. You will then be given a list of photos available for that location. In some cases, ""flight books"" are available at EDC that describe the nature of the mission during which the photos were taken and other attribute information. The customer service personnel have access to these books for those photo sets for which the books exist." not-provided -ECO_L2G_CLOUD.v002 ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m V002 LPCLOUD 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2076113561-LPCLOUD.json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website(https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m (ECO_L2G_CLOUD) Version 2 data product is derived using a single-channel Bayesian cloud threshold with a look-up-table (LUT) approach. The ECO_L2G_CLOUD product provides a cloud mask that can be used to determine cloud cover for accurate land surface temperature and evapotranspiration estimation. This data product is a gridded version of the ECO_L2_CLOUD Version 2 product that was resampled using nearest neighbor, projected to a globally snapped 0.0006° grid, and repackaged as the ECO_L2G_CLOUD Version 2 data product. The ECO_L2G_CLOUD Version 2 data product contains two cloud mask layers: cloud confidence and final cloud mask. Information on how to interpret the cloud confidence and cloud mask layers is provided in Table 7 of the ECO_L2_CLOUD Version 2 User Guide. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. not-provided -ECO_L3G_MET.v002 ECOSTRESS Gridded Downscaled Meteorology Instantaneous L3 Global 70 m V002 LPCLOUD 2018-07-09 -180, -54, 180, 54 https://cmr.earthdata.nasa.gov/search/concepts/C2074897737-LPCLOUD.json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in Figure 2 on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science). The ECOSTRESS Gridded Downscaled Meteorology Instantaneous L3 Global 70 m (ECO_L3G_MET) Version 2 data product provides instantaneous near-surface air temperature (Ta) and relative humidity (RH) estimates downscaled using linear regression. The linear regression uses up-sampled surface temperature (ST), normalized difference vegetation index (NDVI), and albedo as predictor variables and Ta or RH from Goddard Earth Observing System Version 5 (GEOS-5) Forward Processing (FP) as response variables for their relative outputs. Once the regression coefficients have been determined, they are applied to the 70 meter (m) ST, NDVI, and albedo as a first pass, which is then bias corrected using a GEOS-5 FP image. This data product is mosaicked from the L3 tiled MET (ECO_L3T_MET (https://doi.org/10.5067/ECOSTRESS/ECO_L3T_MET.002)) product, projected to a globally snapped 0.0006° grid, and has a spatial resolution of 70 meters (m). The ECO_L3G_MET Version 2 data product contains four layers distributed in an HDF5 format file including Ta, RH, cloud mask, and water mask. not-provided -ECO_L3G_SM.v002 ECOSTRESS Gridded Downscaled Soil Moisture Instantaneous L3 Global 70 m V002 LPCLOUD 2018-07-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2074890845-LPCLOUD.json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found on the ECOSTRESS website. The ECOSTRESS Gridded Downscaled Soil Moisture Instantaneous L3 Global 70 m (ECO_L3G_SM) Version 2 data product provides instantaneous soil moisture (SM) estimates downscaled using linear regression. The linear regression uses up-sampled surface temperature (ST), normalized difference vegetation index (NDVI), and albedo as predictor variables and SM from Goddard Earth Observing System Version 5 (GEOS-5) Forward Processing (FP) as response variables for their relative outputs. Once the regression coefficients have been determined, they are applied to the 70 meter (m) ST, NDVI, and albedo as a first pass, which is then bias corrected using a GEOS-5 FP image. This data product is mosaicked from the L3 tiled SM (ECO_L3T_SM) product, is projected to a globally snapped 0.0006° grid, and has a spatial resolution of 70 m. The ECO_L3G_SM Version 2 data product contains three layers distributed in an HDF5 file including SM, cloud mask, and water mask. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU, and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach, only Thermal Infrared (TIR) bands 2, 4, and 5 are being downloaded. The data products are the same as before, but the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. not-provided EN1_MDSI_MER_FRS_1P.v4 Full Resolution Full Swath Geolocated and Calibrated TOA Radiance LAADS 2002-05-17 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2151211533-LAADS.json The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012. The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_1P is the short-name for the MERIS Level-1 full resolution, full swath, geolocated and calibrated top-of-atmosphere (TOA) radiance product. This product contains the TOA upwelling spectral radiance measurements. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance for each pixel. Each pixel’s in-band solar irradiance is computed by integrating the reference solar spectrum with the band-pass of each pixel. The Level-1 product contains 22 data files: 15 files contain radiances for each band (one band per file) along with associated error estimates, and 7 annotation data files. It also includes a Manifest file that provides metadata information describing the product. not-provided EN1_MDSI_MER_FRS_2P.v4 Full Resolution Full Swath Geophysical Product for Ocean, Land and Atmosphere LAADS 2003-01-01 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2151219110-LAADS.json The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012. The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_2P is the short-name for the MERIS Level-2 full resolution, geophysical product for ocean, land, and atmosphere. This Level-2 product comes in a netCDF4 package that contains both instrument and science measurements, and a Manifest file that provides metadata information describing the product. Each Level-2 product contains 64 measurement files that break down thus: 13 files containing water-leaving reflectance, 13 files containing land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measuring atmospheric gas - M11 and M15), and several files containing additional measurements on ocean, land, and atmosphere parameters. not-provided EO:EUM:CM:METOP:ASCSZFR02.v2014-10-07 ASCAT L1 SZF Climate Data Record Release 2 - Metop EUMETSAT 2007-01-01 2014-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.json Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at full resolution (SZF). Normalized radar cross section (NRCS) of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at 12.5 and 25 km Swath Grids. This is a Fundamental Climate Data Record (FCDR). not-provided @@ -307,7 +295,6 @@ PM1EPHND_NRT.v6.1NRT MODIS/Aqua 24-hour Spacecraft ephemeris/orbit data files to PSScene3Band.v1 PlanetScope Satellite Imagery 3 Band Scene CSDA 2014-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2112982481-CSDA.json The Planet Scope 3 band collection contains satellite imagery obtained from Planet Labs, Inc by the Commercial Smallsat Data Acquisition (CSDA) Program. This satellite imagery is in the visible waveband range with data in the red, green, and blue wavelengths. These data are collected by Planets Dove, Super Dove, and Blue Super Dove instruments collected from across the global land surface from June 2014 to present. Data have a spatial resolution of 3.7 meters at nadir and provided in GeoTIFF format. Data access are restricted to US Government funded investigators approved by the CSDA Program. not-provided QB02_MSI_L1B.v1 QuickBird Level 1B Multispectral 4-Band Satellite Imagery CSDA 2001-10-18 2015-01-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497489665-CSDA.json The QuickBird Level 1B Multispectral 4-Band Imagery collection contains satellite imagery acquired from Maxar Technologies by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe QuickBird-2 satellite using the Ball High Resolution Camera 60 across the global land surface from October 2001 to January 2015. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The spatial resolution is 2.16m at nadir and the temporal resolution is 2.5 to 5.6 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided QB02_Pan_L1B.v1 QuickBird Level 1B Panchromatic Satellite Imagery CSDA 2001-10-18 2015-01-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497480059-CSDA.json The QuickBird Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe QuickBird-2 satellite using the Ball High Resolution Camera 60 across the global land surface from October 2001 to January 2015. This data product includes panchromatic imagery with a spatial resolution of 0.55m at nadir and a temporal resolution of 2.5 to 5.6 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided -SEAGLIDER_GUAM_2019.vV1 Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020) POCLOUD 2019-10-03 2020-01-15 143.63035, 13.39476, 144.613, 14.71229 https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.json This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington. not-provided SeaWiFS_GAC_L1.v2 OrbView-2 SeaWiFS Level-1A Global Area Coverage (GAC) Data, version 2 OB_CLOUD 1997-09-04 2010-12-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3113252722-OB_CLOUD.json The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited onboard storage and direct broadcast) at 1 km. The mission and sensor were optimized for ocean color measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarization sensitivity. not-provided SeaWiFS_L2_IOP.v2022.0 OrbView-2 SeaWiFS Level-2 Regional Inherent Optical Properties (IOP) Data, version 2022.0 OB_CLOUD 1997-09-04 2010-12-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3113252806-OB_CLOUD.json The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited onboard storage and direct broadcast) at 1 km. The mission and sensor were optimized for ocean color measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarization sensitivity. not-provided SeaWiFS_L2_LAND.v2022.0 OrbView-2 SeaWiFS Level-2 Regional Normalized Difference Vegetation Index Land Reflectance Data, version 2022.0 OB_CLOUD 1997-09-04 2010-12-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C3113252901-OB_CLOUD.json The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited onboard storage and direct broadcast) at 1 km. The mission and sensor were optimized for ocean color measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarization sensitivity. not-provided