Skip to main content

DEMTOOLS

A collection of Python tools for working with DEM (Digital Elevation Model) raster files.

GDAL Installation: GDAL is required for this package. For conda environments, use conda install gdal to install GDAL. For non-conda environments, download the appropriate wheel file from https://github.com/cgohlke/geospatial-wheels/releases to install GDAL.

Installation

pip install -e .

Features

  • asproj: Assign a projection to GeoTIFF files without modifying pixel data (metadata only)
  • chgnodata: Convert (replace) the nodata value of GeoTIFF files, updating pixel data accordingly
  • defnodata: Assign a nodata value to GeoTIFF files without modifying pixel data (metadata only)
  • chkdem (alias: deminfo): Check DEM raster file properties (resolution, projection, extent, nodata) — read-only
  • mvdem: Relocate GeoTIFF files by setting a new upper-left coordinate, without modifying pixel data
  • csv2tif: Convert a plain-numeric CSV raster grid to a GeoTIFF file
  • tif2csv: Convert a GeoTIFF raster band to a plain-numeric CSV grid (the reverse of csv2tif)
  • tif2xyz: Convert a GeoTIFF raster band to an XYZ point file (pixel-center X, Y, value)
  • demmask: Extract the valid-data boundary of GeoTIFF files and save as shapefiles
  • demext: Extract the bounding-box extent of GeoTIFF files and save as rectangle shapefiles

Usage

Command-line

# List all available commands
demtools -h

# Show details for a specific command
demtools-info csv2tif

# Assign a projection to all TIF files in the current directory
asproj -a --epsg 3826
asproj dem.tif -e 3826

# Convert nodata values for all TIF files in the current directory
chgnodata -a

# Convert nodata of a single file to -9999
chgnodata dem.tif -v -9999

# Set nodata metadata for all TIF files (no pixel data change)
defnodata -a -v -9999

# Check DEM raster properties (read-only)
chkdem -a
chkdem dem.tif
deminfo dem.tif

# Relocate a GeoTIFF by setting a new upper-left coordinate
mvdem dem.tif -x 500000 -y 2500000

# Convert a CSV grid to GeoTIFF (origin as lower-left or upper-left corner)
csv2tif grid.csv -o dem.tif --xll 250000 --yll 2500000 --cellsize 5 -e 32648
csv2tif grid.csv -o dem.tif --xul 250000 --yul 2500100 --cellsize 5 -e 32648

# Convert a GeoTIFF raster band back to a CSV grid
tif2csv dem.tif -o grid.csv

# Convert a GeoTIFF raster band to an XYZ point file (nodata skipped)
tif2xyz dem.tif -o points.xyz
tif2xyz dem.tif -d , --keep-nodata

# Extract the valid-data boundary of all TIF files and save as shapefiles
demmask -a
demmask dem.tif -o SHP_MSK

# Extract the bounding-box extent of all TIF files and save as shapefiles
demext -a
demext dem.tif -o SHP_EXT

Python API

from demtools import asproj, chgnodata, defnodata, chkdem, mvdem, csv2tif, tif2csv, tif2xyz, demmask, demext

# Assign a projection without touching pixel data
asproj.assign_projection("dem.tif", epsg=3826)

# Convert nodata value in a raster file
chgnodata.convert_nodata_value("dem.tif", output_nodata=-9999)

# Assign nodata metadata without touching pixel values
defnodata.define_nodata_value("dem.tif", nodata_value=-9999)

# Check DEM raster properties (read-only)
chkdem.check_dem_info("dem.tif")

# Relocate a raster by setting a new upper-left coordinate
mvdem.relocate_dem("dem.tif", x=500000, y=2500000)

# Convert CSV grid to GeoTIFF
csv2tif.csv_to_tif(
    input_csv="grid.csv",
    output_tif="dem.tif",
    xll=250000,
    yll=2500000,
    cellsize=5,
    nodata=-999,
    epsg=32648,
)

# Convert a GeoTIFF raster band back to a CSV grid
tif2csv.tif_to_csv(
    input_tif="dem.tif",
    output_csv="grid.csv",
)

# Convert a GeoTIFF raster band to an XYZ point file
tif2xyz.tif_to_xyz(
    input_tif="dem.tif",
    output_xyz="points.xyz",
)

# Extract the valid-data boundary and save as a shapefile
demmask.save_mask_boundary("dem.tif", output_dir="SHP_MSK")

# Extract the bounding-box extent and save as a shapefile
demext.save_dem_extent("dem.tif", output_dir="SHP_EXT")

Notes

  • asproj, chgnodata, defnodata, and mvdem automatically create a RAS_BAK/ directory with backup copies before modifying files.
  • chkdem (and its deminfo alias), tif2csv, tif2xyz, demmask, and demext are read-only and never modify the input file.
  • demmask writes shapefiles to an output directory (default SHP_MSK/), one shapefile per input TIF, each holding a single polygon covering all of that file's valid-data pixels.
  • demext writes shapefiles to an output directory (default SHP_EXT/), one shapefile per input TIF, each holding a single rectangle polygon covering that file's full raster extent.
  • csv2tif expects a plain numeric CSV (no headers), with rows ordered from north to south; tif2csv writes CSVs in the same row order.
  • tif2xyz writes one X Y Z line per pixel using pixel-center coordinates from the geotransform; nodata (and NaN) pixels are skipped unless --keep-nodata is given.
  • The input file is given positionally (chkdem dem.tif); the older -i dem.tif form still works for backward compatibility.
  • GDAL must be installed separately via conda or a pre-built wheel; it is not listed in requirements.txt as it cannot be reliably installed via pip on all platforms.

Metadata

Release files for demtools 0.17.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for demtools 0.17.0
File Size Uploaded
demtools-0.17.0.tar.gz 18.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for demtools 0.17.0
File Interpreter ABI Platform
demtools-0.17.0-py3-none-any.whl Python 3 none any Details

Total release size: 47.6 kB

Release files / demtools-0.17.0.tar.gz

Download URL demtools-0.17.0.tar.gz
Size 18.5 kB
Tags Source
SHA-256 checksum
How to use checksums
ebdc23c1f1b3186a7470d48896d113bb54d77baf377d517daa6d47fa4496501c
BLAKE2b-256 checksum
How to use checksums
f46dfb21296d3ece2121c6558e815be29aba19966e61b12f3aff1ce84aa511b3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 4, 2026.

Transparency log

Release files / demtools-0.17.0-py3-none-any.whl

Download URL demtools-0.17.0-py3-none-any.whl
Size 29.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b6b7dac1553e8a13e07df74cc100d6bfe3caaa197d3b61a968a72d37006b6604
BLAKE2b-256 checksum
How to use checksums
5b5fb7f15087a4492b53a71cde109dbf6dc23c7231013c5d1cdd5ca5d6cd2844
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 4, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.17.0 This release

2 release files

0.15.0

2 release files

0.14.0

2 release files

0.13.0

2 release files

0.12.1

2 release files

0.12.0

2 release files

0.11.1

2 release files

0.11.0

2 release files

0.10.5

2 release files

0.10.4

2 release files

0.10.3

2 release files

0.10.1

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.3

2 release files

0.7.2

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.1

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page