Soil erosion is a persistent environmental challenge, particularly in agricultural and hilly regions, where it contributes to land degradation, reduces soil productivity and enhances sedimentation in water bodies. In contemporary research, geoinformatics technologies such as Geographic Information Systems (GIS) and Remote Sensing (RS) are extensively utilized, both nationally and globally, for morphometric analysis and soil erosion modelling within watershed management. Key factors influencing soil loss includes slope, drainage density, relief and land use land cover. Integrating morphometric parameters with soil erosion models enhances the accuracy of identifying vulnerable areas and assists in the prioritization of sub-watersheds for conservation interventions. Erosion rates can range from less than 1 to more than 1000 tons/ha/year, depending on topography and land-use practices. This study underscores the effectiveness of using GIS-based modelling and morphometric analysis as a cost-efficient, scalable and reliable approach to support soil conservation planning, promote sustainable watershed development and resource management.

Geoinformatics, Morphometric analysis, Soil conservation, Soil erosion models, Watershed management

This study concludes the crucial role of morphometric analysis and the soil erosion models in understanding watershed characteristics and soil erosion dynamics. These tools supported by remote sensing and GIS, provide effective means for assessing erosion risk and prioritizing conservation efforts. Integrating these approaches enhances sustainable watershed management and informs better planning for soil and water conservation strategies. Studies across diverse regions consistently demonstrate that parameters like slope, drainage density and land use significantly influence erosion potential. The synergy of morphometric indicators with empirical models improves prediction accuracy and spatial prioritization. Remote sensing data ensures updated and large-scale analysis, reducing the need for extensive fieldwork. As land degradation intensifies due to climate change and human pressure, these techniques offer cost-effective and scalable solutions.

Preeti and Kaushal A. (2025). A Synergistic Approach to Soil Erosion Management: Geospatial Morphometric Analysis Coupled with Soil Erosion Modelling. Biological Forum, 17(9): 94-103.