ArticleScientific reports2026
Integrated analytical hierarchy process and neural network approaches for assessment of soil erosion risk in Manjira River sub-basin, India.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Soil erosion poses critical threats to agricultural sustainability and food security in semi-arid regions, necessitating innovative assessment frameworks for effective sustainable land management. This study presents an integrated Analytical Hierarchy Process (AHP)-Artificial Neural Network (ANN) framework for enhanced soil erosion susceptibility mapping in the Manjira River Sub-basin, Maharashtra, India, addressing sustainable development challenges in agriculturally intensive landscapes. The methodology utilized ten environmental sustainability indicators derived from Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM), Sentinel-2 & Landset-8 imagery, and meteorological data to assess erosion risks across 10,160 km
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