I am doing a project at work looking at rooftop solar resources. I have a set of building footprints for a few small cities, which "become" a set of raster building footprints when I clip our solar isolation raster to the building footprints.
I have completed the whole process, but now my supervisor would like me to go back and find the top 10 buildings (rooftops) in terms of their potential solar resources for each city. The problem is that the raster footprints, obviously, do not have attribute tables and (despite being clipped to the shape of the footprints) are just a collection of individual data points.
I need to somehow aggregate/match the 350,000 unique raster data points (yes, I converted the raster to integer and created an attribute table) back to their respective building footprints, so I can then find the top 10 buildings in terms of their solar resources.
Anyone have an idea how to go about this?