Artificial Intelligence (AI) and Deep Learning (DL) technologies have started to be coupled with geoinformatics and are bringing geospatial intelligence to various domains, including autonomous transportation, predictable healthcare, sustainable urban planning/design/development, among others.
For example, AI-assisted volunteered geographic information (such as OpenStreetMap data) accelerates the development of Spatial Data Infrastructures (SDI) from satellite imagery. Also, deep learning techniques provide micro-level prediction of human mobility and environmental exposure across different geographic areas in epidemiology. Further, autonomous vehicles gather, manage, and analyze massive amounts of geospatial data from a combination of GPS, cameras, and other traffic sensors and navigate with high-level human-like perception by using Deep Learning. Clearly, many fields can benefit from combining Artificial Intelligence with geospatial data.
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