Check here for a long list of resources and trainings that will help you get acquainted with SAR data.
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- This dataset is collected from the German TerraSAR-X satellite, which is working in x-band and HH polarization mode with image resolutions ranging from 0.5m to 3m.
- This session is intended to introduce you to geocoding with practical examples. QGIS native tools and plugins, as well as QGIS Python API classes for geocoding will be considered.
- This post shows you how to reshape rasters using the Rasterio Python package and add dimensions to raster arrays.
- Did you miss the lightning talks and tutorials on Cloud Optimized GeoTIFFs, STAC, Zarr and Cloud Optimized Point Clouds during the Cloud-Native Geospatial Outreach Event? Check out this playlist.
- Here is a step-by-step guide on quantifying land-use within a region using QGIS processing tools and the ESA WorldCover dataset.
- Check out these cheat sheets for using Google Earth Engine for R.
- This webinar will discuss Geopackage specifications and show how it can be used within the QGIS environment to store and analyze geospatial data.
- When building a geospatial application it is very easy to get into problems with performance. This post demonstrates some techniques for improving performance of spatial operations.
- If you are interested in data analysis, data visualization, and modeling of geographic data in R, you should check out this free book by Robin Lovelace et al.
