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GeoAI, Cyberinfrastructure, and Topographic Mapping Applications
Topics: Geographic Information Science and Systems
, Cartography
, Geographic Theory
Keywords: GeoAI, topographic data, USGS Session Type: Virtual Paper Day: Saturday Session Start / End Time: 4/10/2021 04:40 PM (Pacific Time (US & Canada)) - 4/10/2021 05:55 PM (Pacific Time (US & Canada)) Room: Virtual 9
Authors:
E. Lynn Usery, United States Geological Survey
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Abstract
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.
GeoAI, Cyberinfrastructure, and Topographic Mapping Applications
