Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping
International Journal of Applied Earth Observations and Geoinformation, 2023 Geocomputation and geospatial artificial intelligence (GeoAI) have essential roles in advancing geographic information science (GIS) and Earth observation to a new stage.
Yongze Song +4 more
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Towards the next generation of Geospatial Artificial Intelligence
International Journal of Applied Earth Observations and GeoinformationGeospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography.
Gengchen Mai +8 more
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Artificial Intelligence for Multisource Geospatial Information
ISPRS International Journal of Geo-Information, 2022 The term Geospatial Artificial Intelligence (GeoAI) is quite cumbersome, and it has no single, shared definition [...]
Gloria Bordogna, Cristiano Fugazza
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Harnessing Geospatial Artificial Intelligence (GeoAI) for Environmental Epidemiology: A Narrative Review [PDF]
Current Environmental Health ReportsAbstract Purpose of Review Geospatial analysis is an essential tool for research on the role of environmental exposures and health, and critical for understanding impacts of environmental risk factors on diseases with long latency (e.g. cardiovascular disease, dementia, cancers) as well as upstream behaviors including
Hari S Iyer, Seigi Karasaki, Li Yi
exaly +5 more sources
GeoAI: Beyond mapping earth and cities through explainability, adaptability, and sustainability [PDF]
iScienceGeospatial artificial intelligence (GeoAI) is reshaping our understanding of Earth and urban systems by integrating advanced artificial intelligence techniques with diverse geospatial data and methodologies.
Yongze Song +3 more
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A Geospatial Artificial Intelligence and satellite-based earth observation cognitive system in response to COVID-19 [PDF]
Acta Astronautica, 2022 Sofiane Atek +2 more
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ENSEMBLING OF DECISION TREES, KNN, AND LOGISTIC REGRESSION WITH SOFT-VOTING METHOD FOR WILDFIRE SUSCEPTIBILITY MAPPING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 As a result of climate change, climatic catastrophes, such as wildfires, are likely to increase. Wildfires continue to occur frequently and spread with greater intensity due to extreme weather conditions. In recent years, explosive fire growths have been
A. Rezaei Barzani +2 more
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Geospatial AI in Earth Observation, Remote Sensing, and GIScience
Applied Sciences, 2023 Geospatial artificial intelligence (Geo-AI) methods have revolutionarily impacted earth observation and remote sensing [...]
Shan Liu +3 more
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Editorial for the Special Issue “Disaster Monitoring Using Remote Sensing”
Remote Sensing, 2023 Human civilization is rapidly developing thanks to the spread of geospatial technology and artificial intelligence [...]
Jinmu Choi, Duk-Jin Kim
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AI ethics and data governance in the geospatial domain of Digital Earth
Big Data & Society, 2022 Digital Earth applications provide a common ground for visualizing, simulating, and modeling real-world situations. The potential of Digital Earth applications has increased significantly with the evolution of artificial intelligence systems and the ...
Marina Micheli +12 more
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