Evaluating soil erosion zones in the Kangsabati River basin using a stacking framework and SHAP model: a comparative study of machine learning approaches

Evaluating soil erosion zones in the Kangsabati River basin using a stacking framework and SHAP model: a comparative study of machine learning approaches

Abstract Soil erosion is a major concern in the Kangsabati River basin, necessitating a comprehensive scientific approach for effective soil erosion management. This study aimed to predict soil erosion susceptibility zones in the basin using integrated soil erosion and deep learning (DL) based stack...

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Bibliographic Details
Main Authors: Javed Mallick, Saeed Alqadhi, Swapan Talukdar, Md Nawaj Sarif, Tania Nasrin, Hazem Ghassan Abdo
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:Environmental Sciences Europe
Subjects:
Soil erosion
Susceptibility assessment
Deep learning
Stacking
SHAP
Kangsabati basin
Online Access:https://doi.org/10.1186/s12302-025-01079-9
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https://doi.org/10.1186/s12302-025-01079-9

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