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I have a client in the forestry sector that would like me to run some maps with criteria that I’ve never managed for. These maps will delineate (using polygons) areas of slope (0-20%,20-40%,>40%), distance from road centreline (0-125m, 125-250m, 250-350m, >350m) and “adverse” and “favourable” skids for a given “block area”.
The slope polys and distance buffers are easy enough to produce; I do this all the time.
The challenge for me will be figuring out how to identify the skid conditions. To give more insight on that, a “favourable” skid is defined as an area where harvested wood will be moved “downhill” to a road for decking. An “adverse” skid would be an area where the machine has to skid wood uphill. So this ultimately comes down to the location of the road, the +/- condition of the slope, and the aspect of the slope relative to the road. It’s a fairly complex condition to analyze, but I’m sure it can be done. My client is asking me to replicate another GIS contractor’s version of this product… which I am fairly certain is generated with some sort of model or script.
Has anyone done anything similar, or have any insight on how I could achieve these results?
I am running ArcGIS 10.3 and use anything from 1m-20m DEM and LiDAR datasets, but each block has its own constraints.