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Updated: Sep 16, 2025
08:09
Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
Published on: September 12, 2017
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GeoAI-based soil erosion risk assessment in the Brahmaputra River Basin: a synergistic approach using RUSLE and
Toushif Jaman1, Shashank Bhaskar2, Victor Saikhom1
1North Eastern Space Applications Centre (NESAC), Department of Space, Govt. of India, Shillong, India.
Environmental Monitoring and Assessment
|July 10, 2025
Summary
Soil erosion in the Brahmaputra River Basin has significantly increased by 60.76% from 2005 to 2024. Advanced AI models highlight the urgent need for soil conservation and watershed management strategies.
Area of Science:
- Environmental Science
- Geoscience
- Remote Sensing
Background:
- Soil erosion poses a critical threat to agriculture, water resources, and ecological stability in the Brahmaputra River Basin.
- Understanding erosion dynamics is vital for effective environmental management and climate adaptation.
Purpose of the Study:
- To analyze soil erosion patterns in the Brahmaputra River Basin from 2005 to 2024.
- To assess the influence of topography and vegetation cover on erosion rates.
- To evaluate the predictive performance of machine learning models for soil erosion analysis.
Main Methods:
- Revised Universal Soil Loss Equation (RUSLE) integrated with remote sensing and GIS.
- Application of Random Forest (RF) and Gradient Boosting (GB) machine learning models.
- Analysis of topographic (LS factor), rainfall erosivity (R-factor), and vegetation cover (C-factor) data.
Main Results:
- Average annual soil loss increased by 60.76% from 15.8 to 25.4 tons/ha/year between 2005 and 2024.
- Peak erosion rates reached 32,130 tons/ha/year in localized hotspots.
- Steep slopes (47.2% > 16°) and fluctuating rainfall erosivity contribute to high erosion risk, despite vegetation improvements.
- Gradient Boosting model demonstrated superior predictive accuracy (R²=0.952, RMSE=3.97).
Conclusions:
- Soil erosion is escalating in the Brahmaputra River Basin, necessitating immediate conservation interventions.
- AI-driven modeling combined with GIS and remote sensing offers a powerful tool for long-term erosion monitoring.
- Findings support informed decision-making for sustainable watershed management and climate adaptation strategies.
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