I'm trying to extend the odo library with functionality to convert a GDAL dataset (raster with spatial information) to a NetCDF file.
Reading in the gdal dataset goes fine. But in the creation stage of the netcdf I need some metadata of the gdal dataset (metadata that is not know yet when calling odo.odo(source,target) ). How could I achieve this?
a short version of my code so far:
import odo
from odo import resource, append
import gdal
import netCDF4 as nc4
import numpy as np
@resource.register('.+\.tif')
def resource_gdal(uri, **kwargs):
ds = gdal.Open(uri)
# metadata I need to transfer to netcdf
b = ds.GetGeoTransform() #bbox, interval
return ds
@resource.register('.+\.nc')
def resource_netcdf(uri, dshape=None, **kwargs):
ds = nc4.Dataset(uri,'w')
# create lat lon dimensions and variables
ds.createDimension(lat, dshape[0].val)
ds.createDimension(lon, dshape[1].val)
lat = ds.createVariable('lat','f4', ('lat',))
lon = ds.createVariable('lon','f4', ('lon',))
# create a range from the **gdal metadata**
lat_array = np.arange(dshape[0].val)*b[1]+b[0]
lon_array = np.arange(dshape[1].val)*b[5]+b[3]
# assign the range to the netcdf variable
lat[:] = lat_array
lon[:] = lon_array
# create the variable which will hold the gdal data
data = ds.createVariable('data', 'f4', ('lat', 'lon',))
return data
@append.register(nc4.Variable, gdal.Dataset)
def append_gdal_to_nc4(tgt, src, **kwargs):
arr = src.ReadAsArray()
tgt[:] = arr
return tgt
Thanks!
I don't have much experience with
odo
, but from browsing the source code and docs it looks likeresource_netcdf()
should not be involved in translating gdal data to netcdf. Translating should be the job of agdal_to_netcdf()
function decorated byconvert.register
. In such a case, thegdal.Dataset
object returned byresource_gdal
would have all sufficient information (georeferencing, pixel size) to make a netcdf.