Remote sensing methods
Calibration, fusion, and analysis of optical, radar, and thermal imagery.
Six research areas from remote-sensing methods to uncertainty and validation.
Calibration, fusion, and analysis of optical, radar, and thermal imagery.
Mapping land use and detecting change over time at scale.
Monitoring water, vegetation, and ecosystems from space and sensors.
Rapid mapping to support flood, fire, and hazard response.
Scalable pipelines, machine learning, and reproducible geospatial workflows.
Ground-truthing and error characterization so maps can be trusted.
Our centers convene researchers, fellows, and practitioners around shared methods and long-term questions.
Sensor calibration, data fusion, and imagery analysis methods.
Land-cover, water, and ecosystem monitoring at scale.
Rapid mapping and tools for hazard and emergency response.
Open datasets, pipelines, and reproducible analysis infrastructure.
We treat every map as a measurement with error. Calibration, validation, and honest uncertainty are as important to us as the analysis itself.
We build openly, releasing data and reproducible pipelines so agencies, researchers, and communities can trust, check, and reuse what we make.
Public datasets, standards, and organizations relevant to our fields.
Open access to NASA Earth-observation data.
www.earthdata.nasa.gov
European Earth-observation missions and data.
www.esa.int
Open access to satellite and aerial imagery archives.
earthexplorer.usgs.gov
European open Earth-observation data and services.
www.copernicus.eu
Open, community-built geospatial base map.
www.openstreetmap.org
UN platform for space-based disaster-response information.
www.un-spider.org
These are independent, third-party resources provided for context and further reading. Links do not imply any affiliation, partnership, or endorsement.
We partner with researchers, practitioners, and civic organizations on applied projects.