GeoAI in the US Geological Survey for topographic mapping
GeoAI in the US Geological Survey for topographic mapping
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DOI：
10.1111/tgis.12830
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发表时间：
2021-08
影响因子：
2.4
通讯作者：
E. L. Usery;S. Arundel;E. Shavers;L. Stanislawski;P. Thiem;D. Varanka
中科院分区：
文献类型：
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作者：
E. L. Usery;S. Arundel;E. Shavers;L. Stanislawski;P. Thiem;D. Varanka
地理空间人工智能（GeoAI）可以广义地定义为将人工智能方法和技术应用于地理空间数据，过程，模型和应用程序。将这些方法应用于地形数据和现象是美国地质调查局（USGS）的研究重点。具体来说，USGS研究和开发了地形特征提取、水文网络提取和语义建模方面的应用程序。这篇文章是最近的工作和研究和发展的现状的文件。本文有助于定义GeoAI在USGS和更广泛的地形测绘领域的研究和应用的成就和方向。
Geospatial artificial intelligence (GeoAI) can be defined broadly as the application of artificial intelligence methods and techniques to geospatial data, processes, models, and applications. The application of these methods to topographic data and phenomena is a focus of research in the US Geological Survey (USGS). Specifically, the USGS has researched and developed applications in terrain feature extraction, hydrographic network extraction, and semantic modeling. This article is a documentation of the recent work and current state of research and development. The article helps define the accomplishments and directions of research and applications in fields of GeoAI for topographic mapping within the USGS and more broadly.