I have 3 m resolution bathymetric data of a lake that I want to use to make a volume estimate of a landslide deposit that is on the lake floor. Basically, I want to interpolate the bathy data to make a "pre landslide lake floor" surface in order to get a volume estimate of the deposit.
Here's my thinking:
- Draw a polygon slightly larger than the landslide.
- Feature vertices to points.
- Extract values to points of the bathy data
- Interpolate the bathy values of the points using kriging
- Extract by mask the interpolated bathy raster to the polygon shape
- Extract by mask the bathy raster to the polygon shape
- Raster calculator: bathy raster - interpolated bathy raster
- Raster calculator: subtracted raster from step 7 * cell resolution
- Zonal Statistics table to calculate sum which equals volume.
Does my method seem logical?
Also, my 3 m resolution bathy data is such that the high value (max) is 176 m and the low value (min) is 1.5 m. Should I invert the bathy data?