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UPDATE 2:
I reprojected the file using osgeo gdal.Wrap in python 3.8.13, gdal =3.6.2
And although it showed me the same error: "ERROR 1: Point outside of projection domain", the output was created and looks ok. Any way to have that error suppressed and have the reprojection done?
Using osgeo gdal '3.4.2', python 3.8.13 there is no error but both files have slightly different extents.
UPDATE:
Ok, I think the problem is with the source projection ETRS89-extended / LAEA Europe, the newer GDAL version might have a problem. In R terra, I am getting when reading the data:
proj_create_from_database: prime meridian not found
proj_create_from_database: datum not found
proj_create_from_database: ellipsoid not found
Before the update, everything was working fine. now that error. And I do not have the old manifest saved...
However, I found under the old Artifact.toml in GDAL_jll was GDAL-vv300.400.100, the new one is v301.600.200 if that helps...
Previous GDAL was: 1.3.0
UPDATE 2:
I reprojected the file using osgeo gdal.Wrap in python 3.8.13, gdal =3.6.2
And although it showed me the same error: "ERROR 1: Point outside of projection domain", the output was created and looks ok. Any way to have that error suppressed and have the reprojection done?
Using osgeo gdal '3.4.2', python 3.8.13 there is no error but both files have slightly different extents.
UPDATE:
Ok, I think the problem is with the source projection ETRS89-extended / LAEA Europe, the newer GDAL version might have a problem. In R terra, I am getting when reading the data:
Might be related to: r-spatial/stars#588
Hi there,
I have just updated my packages in Julia and got an error while running gdalwarp.
Before the update, everything was working fine. now that error. And I do not have the old manifest saved...
However, I found under the old Artifact.toml in GDAL_jll was GDAL-vv300.400.100, the new one is v301.600.200 if that helps...
Previous GDAL was: 1.3.0
Thanks!
Here are the actual packages installed:
Julia v1.7.2
[c9ce4bd3] ArchGDAL v0.9.3
[336ed68f] CSV v0.10.9
[5ae59095] Colors v0.12.10
[717857b8] DSP v0.7.8
[a93c6f00] DataFrames v1.5.0
[31c24e10] Distributions v0.25.86
[add2ef01] GDAL v1.5.1
[c91e804a] Gadfly v1.3.4
[c27321d9] Glob v1.3.0
[cd3eb016] HTTP v1.7.4
[c8e1da08] IterTools v1.4.0
[682c06a0] JSON v0.21.3
[b946abbf] NaNStatistics v0.6.18
[e7bfaba1] NumericalIntegration v0.3.3
[f27b6e38] Polynomials v3.2.5
[438e738f] PyCall v1.95.1
[ce6b1742] RDatasets v0.7.7
[a3a2b9e3] Rasters v0.5.1
[8e980c4a] Shapefile v0.9.1
[2913bbd2] StatsBase v0.33.21
[bd369af6] Tables v1.10.0
[ade2ca70] Dates
[10745b16] Statistics
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