Current topics and challenges in geoAI

Abstract

Taken literally, geoAI is the use of Artificial Intelligence methods and techniques in solving geo-spatial problems. Similar to AI more generally, geoAI has seen an influx of new (big) data sources and advanced machine learning techniques, but also a shift in the kind of problems under investigation. In this article, we highlight some of these changes and identify current topics and challenges in geoAI.

Special issue on geospatial artificial intelligence

“…GeoAI provides novel approaches for addressing a variety of problems in both our natural environment and human society. Novel AI techniques are transforming a range of fields from computer vision and natural language processing to autonomous driving and earth system modeling [6][7][8]. With the advancement of software and hardware technologies, deep learning algorithms, scalable computation platforms, and availability of high-resolution geospatial data are enabling the fast-growing field of GeoAI [3,4].…”