🧐"Not-so-good" NetCDF
Sometimes you can encounter problems with data georeferencing, as metadata could be written not in a QGIS-friendly style.
Last updated
Sometimes you can encounter problems with data georeferencing, as metadata could be written not in a QGIS-friendly style.
Last updated
ESA Permafrost Climate Change Initiative, Permafrost extent for the Northern Hemisphere, v3.0
Adding data to the map as usual: the layer has incorrect georeference.
Let's try to study the dataset with Xarray
The full notebook download is below. To run it, set up conda environment, savethe notebook to your working directory, and run Jupyter Notebook from this directory.
To export data as GeoTIFF some info georeferencing is needed. For GDAL it is a projection (crs reference) and geotransform parameters (upper left x and y coordinates and pixel size). Some of this info is stored in the polar_stereographic variable.
crs_wkt is in GDAL-compatible format, we can use it. But GeoTransform is not consistent with dataset upper left pixel coordinates:
