From what Sean referenced earlier (https://rasterio.readthedocs.io/en/latest/topics/reproject.html#reprojecting-with-other-georeferencing-metadata): Don't use "from_gcps" and instead pass in "gcps" di

The scales and offsets properties on the DatasetWriter object should allow you to update the raster. I recommend masking your data before scaling your data as the mask value is for the raw data. Refer

Reading & writing with windows can be done with rioxarray (rasterio + xarray): import rioxarray rds = rioxarray.open_rasterio("input.tif", lock=False) rds.rio.to_raster("output.tif", windowed=True) Yo

HDF4 files are currently not supported out of the box with rasterio wheels (https://github.com/rasterio/rasterio-wheels/issues/36). To support HDF4 files, you will need to build GDAL yourself with HDF

I think the issue is that you need to use `rasterio.open`.

One thing to check would be if the nodata values are properly set on the rasters. If they are not, then merging could cause the nodata values to fill in those areas instead of the correct values.

pyproj.CRS has a to_proj4 method that should be able to do that: https://pyproj4.github.io/pyproj/stable/examples.html

I think this is the problem: https://pyproj4.github.io/pyproj/stable/gotchas.html#internal-proj-error-sqlite-error-on-select

The new wheel now includes the proj.db, which is close to the size of grids that were removed. Also, PROJ requires more dependencies, so that is also a likely factor. It might work, but I wouldn't rec

Thanks for working on this Sean! I verified that PROJ_NETWORK=ON works with a basic test: rio_geom.py: from rasterio.warp import transform_geom geometry = [ { "type": "Polygon", "coordinates": [ [ [-9

This should be fixed in 1.1.5 IIRC: #1248

I believe that this is what you are looking for: https://rasterio.readthedocs.io/en/latest/topics/resampling.html

My first thought is that if you do make the switch, I think it would make sense to do it in the 1.2 release. > I have heard from those who would rather stick with 2.4.4 for a while yet due to increase

Here is an example using rioxarray: https://corteva.github.io/rioxarray/stable/examples/interpolate_na.html It uses scipy griddata.

Add some history for reference: https://rasterio.groups.io/g/dev/topic/switch_from_proj_4_format_to/28991934

Here are instructions for rasterio to geopandas: https://gis.stackexchange.com/a/350231/144357 For geopandas to rasterio, you will need something like: if LooseVersion(rasterio.__gdal_version__) > Loo

Hi Nic, I think you are looking for rioxarray. An example of what you want to do is here: https://corteva.github.io/rioxarray/stable/examples/clip_geom.html Best, Alan

Hello, It appears the GeoPackage format can support vector and raster data in GDAL similar to the FIleGDB format. https://gdal.org/drivers/raster/gpkg.html https://gdal.org/drivers/vector/gpkg.html No

Hi Amine, rasterio is definitely a great tool. But, if you are looking for an interface to it similar to pandas, you may be interested in rioxarray. It wraps the rasterio code and gives you an xarray

After looking at the docs, I think you need to remove `.read(1)` as that returns a numpy array and `mask` expects a dataset: https://rasterio.readthedocs.io/en/stable/api/rasterio.mask.html#rasterio.m