Skip to main content
U.S. flag

An official website of the United States government

Center of Excellence for Geospatial Information Science (CEGIS)

The CEGIS vision is to conduct, lead, and influence the research and innovative solutions required by the National Spatial Data Infrastructure (NSDI) and the emerging GeoSpatial and GeoSemantic Web.

CEGIS is a virtual organization with Federal and academic affiliate scientists conducting research in support of The National Map and the Three-Dimensional Elevation Program (3DEP).

News

2026 USGS Center of Excellence for Geospatial Information Science (CEGIS) Annual Research Meeting

2026 USGS Center of Excellence for Geospatial Information Science (CEGIS) Annual Research Meeting

Publications

Linking scale-specific sinuosity to hydrogeomorphic domains in Alaska watersheds Linking scale-specific sinuosity to hydrogeomorphic domains in Alaska watersheds

River meander patterns arise from geomorphological processes influenced by climate, geology, terrain, and hydrology. These processes produce a wide spectrum of sinuous channel and meander forms, and understanding them is essential for land management practices, such as natural channel restoration (Dominguez et al., 2018), flood and erosion control, bank stabilization (U.S. Department of...
Authors
Larry Stanislawski, Pierofranco Costabile, Barry J. Kronenfeld, Margherita Lombardo

Evaluating U.S. Geological Survey 3D Elevation Program LiDAR data as a source for building height Evaluating U.S. Geological Survey 3D Elevation Program LiDAR data as a source for building height

Accurate building height information is used for numerous urban applications, including infrastructure modeling, disaster risk assessment, and energy demand estimation. The U.S. Geological Survey collects airborne lidar data to support the three-dimensional elevation program (3DEP). The high point density and vertical accuracy of the lidar point clouds are optimal for 3D mapping. Few...
Authors
Jung-Kuan Liu, Ethan J. Shavers, Samantha T. Arundel, Rongjun Qin

Science

2026 18th CEGIS Annual Research Meeting

The Center of Excellence for Geospatial Information Science (CEGIS) is proud to host the 2026 18th CEGIS Annual Research Meeting June 23-25, 2026, in Denver, Colorado. The annual research meeting is a special occasion to celebrate our accomplishments, explore ongoing projects, and foster collaboration for future endeavors. This year's gathering featured a broad range of presentations from our...
2026 18th CEGIS Annual Research Meeting

2026 18th CEGIS Annual Research Meeting

The Center of Excellence for Geospatial Information Science (CEGIS) is proud to host the 2026 18th CEGIS Annual Research Meeting June 23-25, 2026, in Denver, Colorado. The annual research meeting is a special occasion to celebrate our accomplishments, explore ongoing projects, and foster collaboration for future endeavors. This year's gathering featured a broad range of presentations from our...
Learn More

2025 CEGIS Annual Research Meeting

The Center of Excellence for Geospatial Information Science (CEGIS) was proud to host the 2025 CEGIS Annual Research Meeting July 22-24, 2025. The annual research meeting is a special occasion to celebrate our accomplishments, explore ongoing projects, and foster collaboration for future endeavors. This year's gathering featured a broad range of presentations from our researchers and their...
2025 CEGIS Annual Research Meeting

2025 CEGIS Annual Research Meeting

The Center of Excellence for Geospatial Information Science (CEGIS) was proud to host the 2025 CEGIS Annual Research Meeting July 22-24, 2025. The annual research meeting is a special occasion to celebrate our accomplishments, explore ongoing projects, and foster collaboration for future endeavors. This year's gathering featured a broad range of presentations from our researchers and their...
Learn More

Image processing

Image processing helps us study and understand different types of landscapes. We use algorithms and software to analyze satellite and airborne images to make detailed maps of the land and its features. By using automated techniques such as feature extraction and building of 3D models, image processing helps scientists learn more about the land and how it changes over time.
Image processing

Image processing

Image processing helps us study and understand different types of landscapes. We use algorithms and software to analyze satellite and airborne images to make detailed maps of the land and its features. By using automated techniques such as feature extraction and building of 3D models, image processing helps scientists learn more about the land and how it changes over time.
Learn More

Multimedia

Overhead image of blue water features with a hilly terrain in the background.
3D Hydrography Program Product Specification
3D Hydrography Program Product Specification
Screenshot of automatically generated terrain objects. See description for details.
Automatically generated terrain objects
Automatically generated terrain objects
Screenshot of lidar-derived digital surface elevation models of a stream channel
Lidar-derived digital surface and elevation models of a stream channel
Lidar-derived digital surface and elevation models of a stream channel
Lidar-derived digital elevation model and NHD stream lines
Lidar-derived digital elevation model and NHD stream lines
Lidar-derived digital elevation model and NHD stream lines
100m resolution elevation model with hydro
100m resolution elevation model with hydro
100m resolution elevation model with hydro
Was this page helpful?