I have 10 TIF datasets that represent isosurfaces of soil type, for an area between 0m and -40m (below ground).
Is it possible to generate a Voxel dataset (multidimensional 3D layer) from these datasets?
Have you reviewed the basic requirements?
What is a voxel layer?—ArcGIS Pro | Documentation
Hi Dan, of course. That was my first port of call.
Im currently looking into how i can create a NetCDF file from raster surfaces using the Geostatistical Analyst toolbox. The "GA Layer 3D to NetCDF" tool:
"""Exports one or more 3D geostatistical layers created using the Empirical Bayesian Kriging 3D tool to netCDF format (*.nc file). The primary purpose of this tool is to prepare the 3D geostatistical layers for visualization as a voxel layer in a local scene."""
I was wandering if this would be the solution.
Also, one of the outputs from a Voxel dataset can be Isosurface rasters, which is what I'm starting with. So im hoping there might be a way to reverse engineer a voxel dataset from those isosurfaces.
Basically, I think it can be done with the Geostatistical Analyst toolbox:
DAT file to Point FC > Point FC to 3D by Atrribute > Empirical Bayesian Kriging 3D to Geostatistical Layer (GA Layer) > GA Layer 3D To NetCDF > Add Multidimensional Voxel Layer.
What do you think of this?
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