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)
  • 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 -i 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 -i 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 -i dem.tif
deminfo -i dem.tif

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

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

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

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

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

Python API

from demtools import asproj, chgnodata, defnodata, chkdem, mvdem, csv2tif, tif2csv, 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",
)

# 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, 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.
  • 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 0.14.0

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 0.14.0
File Size Uploaded
demtools-0.14.0.tar.gz 15.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for demtools 0.14.0
File Interpreter ABI Platform
demtools-0.14.0-py3-none-any.whl Python 3 none any Details

Total release size: 40.2 kB

Release files / demtools-0.14.0.tar.gz

Download URL demtools-0.14.0.tar.gz
Size 15.6 kB
Tags Source
SHA-256 checksum
How to use checksums
65e047548b50f9ad6fa9291508a4abb4c89c68fc63f11e751e83944c11389877
BLAKE2b-256 checksum
How to use checksums
a60583b1cb00da617e52f4b48a92da1dd65d7c54d93dca8519beb151b54c7108
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 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 Jul 24, 2026.

Transparency log

Release files / demtools-0.14.0-py3-none-any.whl

Download URL demtools-0.14.0-py3-none-any.whl
Size 24.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
29be46a90c21f12becd1b030dd1093a3a61ccd4194bc87b605b95c0905be0ee4
BLAKE2b-256 checksum
How to use checksums
9581ac591e41b6d241ec88acc324512506f7dd76a94642cbd8b20602961970b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 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 Jul 24, 2026.

Transparency log

Release history Release notifications | RSS feed

0.15.0

2 release files

This release

0.14.0 This release

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