Who’s Using It?

OmniCloudMask has been adopted by research institutions, government agencies, and industry for cloud and cloud shadow masking across a variety of applications.

Adoption

As of early 2026, the OmniCloudMask Python package has been downloaded over 170,000 times. The paper (Wright et al., 2025) has been included in the NASA Select Landsat Publications collection.

Organizations

• NASA GSFC Data Science Group

• Digital Earth Pacific

• Space Concordia Spacecraft Division

• Alaska Center for Conservation Science

• swisstopo

• Landgate

• Orbio Earth

• Geopera

• FrontierSI

• Direção-Geral do Território

• Sentinel-Bird

Open Source Projects

Project	Description
GeoAI	Integration enables GeoAI users to access OmniCloudMask within a familiar interface
TorchGeo	Sensor-agnostic training approaches being added to enable researchers to easily adopt the methods
S2Mosaic	Sentinel-2 mosaic generation library
vrtility	R package for Earth Observation data processing using GDAL VRTs
spectralmatch	Relative radiometric normalization toolkit for geoscientific applications
GeoPre	Python library for geospatial data preprocessing
vhrharmonize	Satellite imagery preprocessing for VHR sensors
burnarea-classifier-gui	GUI tool for burned area detection in satellite imagery
OpenResIN	Automated water body identification from satellite imagery
OmniCloudMask_APP	Desktop application for OmniCloudMask

Using It?

If you’re using OmniCloudMask in your research, project, or organization, we’d love to hear about it. Please open an issue or submit a pull request to add your use case to this page.