Hello,
I had a question about what should be the best approach when it comes to doing Viewshed Analyses.
Premise of project: Where are the towers visible? (Point Shapefile with hundreds of discrete points representing towers along a linear route). OFFSETA = tower height and OFFSETB = person height who will see the tower.
I was able to download elevation data with resolution of approx 10meters. Instead of one large file for the extent, I was given 6 smaller chunks (due to size).
My dilemma lies in the viewshed analyses. The point shapefile lies on all 6 small rasters. However, I noticed that, let's say tower 1 that lies on raster A, cannot be processed on raster B because it does not lie on raster B (or this is my conclusion because when I try to run a viewshed of a selection of points that do not lie on top of the raster, it fails).
My solution was to automatically combine all the rasters using a mosaic dataset. However, I understand that now the problem becomes processing capacity.
Is there a way around this problem? Do I just need to combine all 6 rasters to 1 to get an accurate viewshed of all the discrete points in the shapefile? Is there a best practice approach to this issue?
Thank you!
