To andrewsurf:
We apologize for the delay in our reply to your post. We do suggest adding other DAAC filters to this post (if you would like me to do that, please reply, or you can post your questions again), as the filter for "GES DISC" may have limited the visibility or responses to your questions in the community which may have experience and/or opinion.
I have two responses from my GES DISC colleagues, which have been edited for clarity:
We apologize for the delay in our reply to your post. We do suggest adding other DAAC filters to this post (if you would like me to do that, please reply, or you can post your questions again), as the filter for "GES DISC" may have limited the visibility or responses to your questions in the community which may have experience and/or opinion.
I have two responses from my GES DISC colleagues, which have been edited for clarity:
Second response:"I have minimal experience in working with GDAL and GeoTIFFS, most likely due to the fact that we at GES DISC don’t host any STAC collections, or COGs. This is also why we don’t have any tutorials with rasterio accessing cloud-optimized formats. I can’t really give an opinion on rasterio bottlenecks either. In the limited times I’ve used it it’s been pretty efficient, but I’ve never performed a huge analysis with this data format to be able to tell a difference.
Other DAACs like LP DAAC host CMR-STAC COGs for HLS-Landsat."
"We haven’t experienced any real bottlenecks or pain points when using GeoTIFFs or GDAL. Most of my (and our) experiences with GDAL with our own GES DISC data has been pretty successful."
"We use GDAL MRF drivers for the IMERG service with no issues."
"The only issue I have come across is that GDAL translate doesn’t always seem to like NetCDF 4 for-mats (*.nc4), but it likes NetCDF formats (*.nc)."
"In my graduate work, 0.5-meter spatial resolution GeoTIFFs operate slowly when using QGIS (or GDAL) processing tools, but that was due to the sheer size of the GeoTIFFs, and I was using my personal laptop."
"I think GeoTIFFs are among the easiest raster data formats to work with in GIS, especially if they are georeferenced correctly. GDAL is a bit of a learning curve, but works great once you understand the commands."
Statistics: Posted by GES DISC - jimacker — Thu May 15, 2025 3:55 pm America/New_York