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Welcome to the LEAF-Toolbox wiki! We have updated our code links Jan 1, 2024 so please check the links below again

Richard Fernandes, Canada Centre for Remote Sensing, Government of Canada

Select One Method To Run LEAF

1. Earth Engine with Graphical Interface
2. As a Chrome Browser App
3. Earth Engine Using Javascript function call
4. Python using Jupyter Notebook
5. Python Large Area Mosaic Products

Abstract

The LEAF-Toolbox is a Google Earth Engine application that produces Level 2 Vegetation Biophysical Products with associated uncertainty estimates from analysis ready medium (20m-30m) resolution satellite imagery.

The products include:

1. Surface Reflectance
2. Black-Sky Shortwave Albedo
3. Fraction of Absorbed Photosynthetically Active Radation
4. Fraction Canopy Cover
5. Leaf Area Index
6. Canopy Chlorophyll Content
7. Canopy Water Content
8. Directional Area Scattering Factor and Land Cover.

The input data currently includes Google Earth Engine (GEE) Collections for Landsat 8 and Landsat 9 Operational Line

 Imagers, Sentinel 2A and 2B Multispectral Instrument, and NASA Harmonized Landsat surface reflectance   Land cover consists of the North American Land Cover 2015 and 2020 (30m) from the North American Land Cover Monitoring System and the Dynamic Land Cover Map for 2015 (100m) from Copernicus Global Land Service outside North America.

Regression algorithms are applied to produce estimates of biophysical parameter maps given data from the selected collection together with land cover . Individual products or composites of either inputs or outputs can be visualized or exported to a Google Drive. Both the regression algorithms and region of interest can be modified by the user prior to execution of the Toolbox.

LEAF is open source software originally released under the Government of Canada's Open Government License

Fernandes, R. et al., 2021, "LEAF Toolbox", Canada Centre for Remote Sensing, https://github.com/rfernand387/LEAF-Toolbox/wiki, DOI: 10.5281/zenodo.4321298.