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

Збережено в:

Бібліографічні деталі
Опубліковано в::	Geoenvironmental Disasters vol. 11, no. 1 (Dec 2024), p. 14
Автор:	Prakash, A. Jaya
Інші автори:	Begam, Sazeda, Vilímek, Vít, Mudi, Sujoy, Das, Pulakesh
Опубліковано:	Springer Nature B.V.
Предмети:	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
Онлайн доступ:	Citation/Abstract Full Text - PDF
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!

Будьте першим, хто залишить коментар!