I have a raster with a resolution of .47-meters, it contains one field that defines the presence or absence of forest canopy (1 or 0).
I need to use a 5-meter fishnet, (or 5-meter raster) to average the coverage within each each cell. The 5-meter raster obviously doesn't line up perfectly with the .47-meter raster. How do I get the exact percent coverage of the underlying forest canopy coverage into the 5-meter raster or fishnet.
Doing a block statistic works, but when I run it with snap raster it changes the values to back to 1 or zero. I thought there might be a good solution using python.
I could also convert them to polygon features, but I'm surprised there isn't a good way to do it with 2 rasters.
Thanks in advance for your help!:confused:
I need to use a 5-meter fishnet, (or 5-meter raster) to average the coverage within each each cell. The 5-meter raster obviously doesn't line up perfectly with the .47-meter raster. How do I get the exact percent coverage of the underlying forest canopy coverage into the 5-meter raster or fishnet.
Doing a block statistic works, but when I run it with snap raster it changes the values to back to 1 or zero. I thought there might be a good solution using python.
I could also convert them to polygon features, but I'm surprised there isn't a good way to do it with 2 rasters.
Thanks in advance for your help!:confused: