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S. T. Arundel STA received her Ph.D. in Geography from Arizona State University in 2000. She was an assistant and then associate professor at Northern Arizona University until 2009 when she joined the U.S. Geological Survey, where she is a research geographer in the Center of Excellence for Geospatial Information Science. Her research emphasizes automating natural feature mapping and modeling using deep learning and other techniques and improving workflows by maximizing automation. She was the team lead in automating the 3D Elevation Program, which superseded the National Elevation Dataset.
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论文共 20 篇作者统计合作学者相似作者
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New Thinking in GISciencepp.151-158, (2024)
REMOTE SENSINGno. 5 (2024): 797
PROCEEDINGS OF THE 6TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON AI FOR GEOGRAPHIC KNOWLEDGE DISCOVERY, GEOAI 2023pp.102-109, (2023)
PROCEEDINGS OF THE 6TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON AI FOR GEOGRAPHIC KNOWLEDGE DISCOVERY, GEOAI 2023pp.83-84, (2023)
J. Big Datano. 1 (2023): 1-22
GEOINFORMATICAno. 3 (2022): 619-640
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