I've got a dataset made up of a large range of polygons (about 70 or so) which represent structures. I also have raster layers which detail a flood depth across an area. The floods depth raster has a 10x10m cell resolution, so for most polygons (structures) there are multiple flood depth cells contained within each polygon. I'm trying to create a model which will identify the maximum flood depth value in each polygon. Now most of the cells aren't wholly contained within the polygon, but these still need to be included in the assessment, as even part of the structures will be flooded to that maximum depth.
I don't want to do this manually as there are hundreds of cells and I have over 20 scenarios to repeat the process for, so this would take days to do manually.
I feel like this should be pretty simple but i've run up short so far.
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I don't want to do this manually as there are hundreds of cells and I have over 20 scenarios to repeat the process for, so this would take days to do manually.
I feel like this should be pretty simple but i've run up short so far.
أكثر...