A comprehensive GeoAI review: Progress, Challenges and Outlooks
Anasse Boutayeb, Iyad Lahsen-cherif, Ahmed El Khadimi

TL;DR
This comprehensive review explores the progress, challenges, and future outlooks of GeoAI, highlighting its applications, methodological approaches, and the integration with GIS and big geodata to advance geospatial intelligence.
Contribution
It provides an extensive overview of GeoAI, including methodologies, applications, challenges, and future directions, serving as a valuable resource for researchers and practitioners.
Findings
GeoAI is increasingly used in fields like agriculture, environmental monitoring, and urban planning.
Significant challenges include data quality, model interpretability, and computational complexity.
Future prospects involve integrating GeoAI with emerging technologies and addressing current limitations.
Abstract
In recent years, Geospatial Artificial Intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various fields of use. This paper offers a comprehensive review of GeoAI as a synergistic concept applying Artificial Intelligence (AI) methods and models to geospatial data. A preliminary study is carried out, identifying the methodology of the work, the research motivations, the issues and the directions to be tracked, followed by exploring how GeoAI can be used in various interesting fields of application, such as precision agriculture, environmental monitoring, disaster management and urban planning. Next, a statistical and semantic analysis is carried out, followed by a clear and precise presentation of the challenges facing GeoAI. Then, a concrete exploration of the future prospects is provided, based on…
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Taxonomy
TopicsGeographic Information Systems Studies
