2026 18th CEGIS Annual Research Meeting
June 23-25, 2026, virtual event by invitation only
June 23-25, 2026, virtual event by invitation only
Center of Excellence for Geospatial Information Science (CEGIS)
CEGIS researchers are Federal scientists in the USGS that lead collaborative research projects.
CEGIS researchers are Federal scientists in the USGS that lead collaborative research projects.
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).
2026 18th CEGIS Annual Research Meeting
2026 18th CEGIS Annual Research Meeting
Scheduled for June 23-25, 2026, in Denver, Colorado, the 18th CEGIS Annual Research Meeting is invitation only.
We will celebrate our accomplishments, explore ongoing projects, foster collaboration for future endeavors, and entertain a broad range of presentations from researchers and their collaborators.
Research
Research
Each subject is a science theme with associated subtopics. You'll find research information, projects, images, and publications available by topic and by general search.
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
Multi-temporal surface water mapping with high-resolution elevation and image data through weakly supervised deep learning Multi-temporal surface water mapping with high-resolution elevation and image data through weakly supervised deep learning
Monitoring the extent of surface water features (hydrography), accurately storing them in databases, and representing them on topographic maps are essential for various applications such as navigation and policy-making for legislative boundaries and permitting. In this context, hydrographic data includes features that generally have water present or image data showing signs that water is...
Assessment of density pattern retention of generalized data for 1:100,000-scale United States topographic maps Assessment of density pattern retention of generalized data for 1:100,000-scale United States topographic maps
Cartographic generalization reduces the complexity of geographic data to produce legible, smaller-scale displays that retain essential information and logical geographic patterns. Generalization is a vital process in topographic map production. An important challenge in this process is managing and evaluating consistency across scale in the density and spatial distribution of map...
GIScience in the era of Artificial Intelligence: A research agenda towards Autonomous GIS GIScience in the era of Artificial Intelligence: A research agenda towards Autonomous GIS
The advent of generative AI exemplified by large language models (LLMs) opens new ways to represent and compute geographic information and transcends the process of geographic knowledge production, driving geographic information systems (GIS) towards autonomous GIS. Leveraging LLMs as the decision core, autonomous GIS can independently generate and execute geoprocessing workflows to...
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...
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...
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.
