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Volume 12
Issue 1
10.3390/ijgi12010010
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Editorial

Artificial Intelligence for Multisource Geospatial Information

by
Gloria Bordogna
* and
Cristiano Fugazza
CNR–IREA, Via A. Corti 12, 20133 Milano, Italy
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2023, 12(1), 10; https://doi.org/10.3390/ijgi12010010
Submission received: 22 December 2022 / Revised: 23 December 2022 / Accepted: 27 December 2022 / Published: 30 December 2022
(This article belongs to the Special Issue Artificial Intelligence for Multisource Geospatial Information)
Versions Notes

Excerpt

Note: In lieu of an abstract, this is an excerpt from the first page.

The term Geospatial Artificial Intelligence (GeoAI) is quite cumbersome, and it has no single, shared definition [...]

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MDPI and ACS Style

Bordogna, G.; Fugazza, C. Artificial Intelligence for Multisource Geospatial Information. ISPRS Int. J. Geo-Inf. 2023, 12, 10. https://doi.org/10.3390/ijgi12010010

AMA Style

Bordogna G, Fugazza C. Artificial Intelligence for Multisource Geospatial Information. ISPRS International Journal of Geo-Information. 2023; 12(1):10. https://doi.org/10.3390/ijgi12010010

Chicago/Turabian Style

Bordogna, Gloria, and Cristiano Fugazza. 2023. "Artificial Intelligence for Multisource Geospatial Information" ISPRS International Journal of Geo-Information 12, no. 1: 10. https://doi.org/10.3390/ijgi12010010

APA Style

Bordogna, G., & Fugazza, C. (2023). Artificial Intelligence for Multisource Geospatial Information. ISPRS International Journal of Geo-Information, 12(1), 10. https://doi.org/10.3390/ijgi12010010

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