Land degradation vulnerability mapping in a west coast river basin of India using analytical hierarchy process combined machine learning models

Assessment and modelling of land degradation are crucial for the management of natural resources and sustainable development. The current study aims to evaluate land degradation by integrating various parameters derived from remote sensing and legacy data with analytical hierarchy process (AHP) comb...

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Veröffentlicht in:	Environmental science and pollution research international 2023-07, Vol.30 (35), p.83975-83990
Hauptverfasser:	Das, Bappa, Desai, Sujeet, Daripa, Amrita, Anand, Gurav Chandrakant, Kumar, Uttam, Khalkho, Dhiraj, Thangavel, Velumani, Kumar, Nirmal, Obi Reddy, Gangalakunta P., Kumar, Parveen
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytic Hierarchy Process Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Climate change Degradation Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental science Hierarchies India Land degradation Land use Learning algorithms Machine Learning Natural resource management Natural resources Rainfall Remote sensing Research Article River basins Rivers Soil Soil conservation Soil water Support vector machines Sustainable development Waste Water Technology Water conservation Water Management Water Pollution Control
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