Utilizing geospatial artificial intelligence for remote sensing applications
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12665-024-11584-4.pdf
Reference8 articles.
1. Bai M, Zhou Z, Li J, Chen Y, Liu J, Zhao X, Yu D (2024) Deep graph gated recurrent unit network-based spatial–temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial–temporal probabilistic forecast of photovoltaic power. Expert Syst Appl 240:122072. https://doi.org/10.1016/j.eswa.2023.122072
2. Chauhan LPS, Shekhar S (2021) Geo AI—accelerating a virtuous cycle between AI and Geo. ACM Int Conf Proc Ser. https://doi.org/10.1145/34741243474179
3. https://pro.arcgis.com/en/pro-app/latest/tool-reference/GeoAI/an-overview-of-the-GeoAI-toolbox.htm (n.d.)
4. Liu P, Biljecki F (2022) A review of spatially-explicit geo AI applications in urban geography. Int J Appl Earth Obs Geoinf 112:102936. https://doi.org/10.1016/j.jag.2022.102936
5. Liu C, Song W (2024) Mapping property redevelopment via Geo AI: integrating computer vision and socioenvironmental patterns and processes. Cities 144:104644. https://doi.org/10.1016/j.cities.2023.104644
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