GeoAI, Cyberinfrastructure, and Topographic Mapping Applications

Authors: E. Lynn Usery*, United States Geological Survey
Topics: Geographic Information Science and Systems, Cartography, Geographic Theory
Keywords: GeoAI, topographic data, USGS
Session Type: Virtual Paper
Day: 4/10/2021
Start / End Time: 4:40 PM / 5:55 PM
Room: Virtual 9
Presentation File: No File Uploaded

Geospatial Artificial Intelligence (GeoAI) can be defined broadly as the application of artificial intelligence (AI) methods and techniques to geospatial data, processes, models, and applications. The application of these methods to topographic data and phenomena are a focus of research in the U.S. Geological Survey (USGS). Specifically, the USGS has investigated and developed applications in terrain feature extraction, hydrographic network extraction, and semantic modeling. This presentation is a documentation of the recent work and current state of this research and an attempt to help define the directions of research and applications in the field of GeoAI, specifically for topographic mapping within the USGS.

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