Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques

Uloženo v:

Podrobná bibliografie
Vydáno v:	Geoenvironmental Disasters vol. 11, no. 1 (Dec 2024), p. 14
Hlavní autor:	Prakash, A. Jaya
Další autoři:	Begam, Sazeda, Vilímek, Vít, Mudi, Sujoy, Das, Pulakesh
Vydáno:	Springer Nature B.V.
Témata:	Soil erosion Multiple criterion Land conservation Biodiversity Machine learning Decision trees Mapping Spatial data Accuracy Soil conservation Wildlife conservation Route planning Climate change adaptation Algorithms Real time Flood management Analytic hierarchy process Data processing Long-term planning Maps Floods Flood mapping Data analysis Emergency response Flooding Automation Monitoring Emergencies Learning algorithms Sustainable agriculture Model accuracy Support vector machines Weather Climate adaptation Policy and planning Flood hazards Flood control Emergency preparedness Crop insurance Hydrologic data Land degradation First responders Environmental
On-line přístup:	Citation/Abstract Full Text - PDF
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!