Articles | Volume 11, issue 1
https://doi.org/10.5194/gi-11-195-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-11-195-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
02 Jun 2022
Review article |
| 02 Jun 2022
| 02 Jun 2022
GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data
Roberto Pierdicca
Department of Civil and Building Engineering and Architecture, Università Politecnica delle Marche, Ancona, Italy
Invited contribution by Roberto Pierdicca, recipient of the EGU Geosciences Instrumentation and Data Systems Division Outstanding Early Career Scientists Award 2021.
Marina Paolanti
CORRESPONDING AUTHOR
Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy
Department of Political Sciences, Communication and International Relations, University of Macerata, Macerata, Italy
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Short summary
For the processing of geomatics data, artificial intelligence (AI) offers overwhelming opportunities. The integration of AI approaches in geomatics has developed into the concept of geospatial artificial intelligence (GeoAI), which is a new paradigm for geographic knowledge discovery and beyond. This contribution outlines AI-based techniques for analysing and interpreting complex geomatics data. How AI approaches have been exploited for the interpretation of geomatic data is explained.
For the processing of geomatics data, artificial intelligence (AI) offers overwhelming...
