MPI_interpolate_DEM.py

• Determines which digital elevation model tiles for an input file (ascii, netCDF4, HDF5, GTiff, cog)

• Reads 3×3 array of tiles for points within bounding box of central mosaic tile

• Interpolates digital elevation model to coordinates

• ArcticDEM 2m digital elevation model tiles

  • http://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/mosaic/v3.0/

  • http://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/indexes/

• REMA 8m digital elevation model tiles

  • http://data.pgc.umn.edu/elev/dem/setsm/REMA/mosaic/v1.1/

  • http://data.pgc.umn.edu/elev/dem/setsm/REMA/indexes/

• GIMP 30m digital elevation model tiles

  • https://n5eil01u.ecs.nsidc.org/MEASURES/NSIDC-0645.001/

Source code

Calling Sequence

usage: MPI_interpolate_DEM.py [-h] [--directory DIRECTORY] [--model DEM]
                              [--format {csv,netCDF4,HDF5,GTiff,cog}]
                              [--variables VARIABLES [VARIABLES ...]]
                              [--header HEADER] [--type {drift,grid}]
                              [--projection PROJECTION] [--verbose]
                              [--mode MODE]
                              [infile] [outfile]

Positional Arguments

infile

Input file

outfile

Output file

Named Arguments

--directory, -D

Working data directory

--model, -m

Possible choices: REMA, ArcticDEM, GIMP

Digital Elevation Model to run

--format, -F

Possible choices: csv, netCDF4, HDF5, GTiff, cog

Input and output data format

--variables, -v

Variable names of data in input file

--header, -H

Number of header lines for csv files

--type, -t

Possible choices: drift, grid

Input data type

• 'drift': drift buoys or satellite/airborne altimetry (time per data point)

• 'grid': spatial grids or images (single time for all data points)

--projection, -P

Spatial projection as EPSG code or PROJ4 string

--verbose, -V

Verbose output of run

--mode, -M

Permission mode of output file