I have a .nc4 file of leaf area index values for all the states (lower 48) in the US but I want to extract the data for each state individually. Each pixel in the .nc4 file has a time series dataset in it.
I first converted the netcdf file to a raster layer in ArcGIS and then used a state wise shapefile to clip the raster layer to the shape boundary. But the .lyr file created, does not have the time series data in it. Is there a way to extract these polygons from the raster layers and convert the state-wise polygons back to a netcdf format?
The reason why I need to convert it back to netcdf is because I am using Matlab (ncread command) to read the dataset, interpolate values and even for plotting.
Thanks for the help!
I have a similar question but am interested in clipping netcdf files to watershed area. I found a Python package called openclimateGIS that seems like it would do the trick, but I am not familiar with Python. OpenCilmateGIS
Did you find a solution that worked for you? Thanks!
first you convert the netcdf file to a raster layer then raster to point then clip point layer by .shp of your district ....then spatial join point layer to .shp of your distrcit...i hope it will be helpful