Looking for some performance tricks here. I'm creating a series of script tools in pro that, among other things, use zonal stats as table to get mean slope and aspect for a series of parcels.
I like the Terrain: Slope and Terrain: Aspect datasets from the Living Atlas. However, analysis performance against them seems slow (perhaps due to the number of rasters in their mosaics and use of raster functions).
Some examples -
The Zonal Stats gp tool on the slope imagery layer on a single 124 acre parcel with the processing extent environment set to that parcel's extent - 46 seconds (so this won't scale past a few parcels).
The Copy Raster gp tool with the processing extent environment set to an area of approximately 700 acres takes about 2 minutes 11 seconds. Better but the average search area will be much larger (50k to 100k acres).
The Zonal Stats raster function was instantaneous against the processing extents listed above. However it also seems quite slow when run against a larger extent (to its credit, it did warn me that it runs against the source data resolution).
The Enrich Layer tool in AGOL has a slope variable (30m) in the landscape facts category. But that operation doesn't appear in the ArcGIS pro tool. Also, I couldn't find an aspect variable.
In contrast, zonal stats run against a worst case scenario, 1163 parcels comprising 120k acres , using the world slope GMTED imagery layer (250m resolution), completes in 4 seconds. Woot! I wanna go fast!
Any ideas? Use different data?