Implementing multi-criteria decision-making approaches to evaluate and map drought vulnerability with Geospatial Artificial Intelligence (Geo-AI) based investigations

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Detalles Bibliográficos
Publicado en:	SN Applied Sciences vol. 7, no. 10 (Oct 2025), p. 1185
Autor principal:	Shalwee
Otros Autores:	Dhupper, Renu, Kumari, Maya, Gupta, Anil Kumar, Kumar, Deepak
Publicado:	Springer Nature B.V.
Materias:	India Climate change Spatial analysis Socioeconomic factors Humidity Artificial intelligence Water resources management Assessments Surface water Trends Multiple criterion Drought Remote sensing Population density Hydrology Machine learning Decision making Economic factors Deep learning Radiation Resource management Economics Agriculture Vegetation Parameter identification Global climate Precipitation Spatial data Groundwater Land use Literature reviews Stream flow Rain Environmental
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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