Raster Vision: A Geospatial Deep Learning Framework

A satellite image is more than its pixels -- it is also its location. Typically encoded as a GeoTiff, such an image will also have georeferencing metadata -- such as coordinates, a coordinate system, and a projection transform -- that defines a mapping from pixel-based coordinates (ie. The same holds true for any annotations we might create for such an image -- these might take the form of GeoJSON files with vector annotations (eg. With the right tools, we can extract from these files a correctly transformed raster image and a corresponding label that we can happily feed into our computer vision models; but ultimately, to be useful in the real world, any insights gained from these models must also be mapped back to geographical locations. What use is detecting a wildfire if we don't know where it is?