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@article{185818,
        author = {Kavya M and Dr M Kumar},
        title = {GEOSPATIAL ANALYSIS OF SOIL EROSION IN THE NILGIRIS REGION OF TAMIL NADU, INDIA USING RUSLE AND GIS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3160-3170},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185818},
        abstract = {Soil erosion is a critical land degradation issue globally, caused by agricultural intensification, deforestation, and anthropogenic activities. This study applies the Revised Universal Soil Loss Equation (RUSLE) and Geo-information technology to evaluate soil erosion vulnerability in the Nilgiris district, Tamil Nadu. Spatial analysis of the annual soil erosion rate was conducted using GIS-based raster methods, integrating five key factors: R (rainfall erosivity), K (soil erodibility), LS (slope length and steepness), C (cover management), and P (conservation practices). Results classify soil erosion risks into five categories: Low (>5), Moderate (5–10), High (10–20), Very High (20–40), and Severe (40–80). The study area shows that 70.2% of the district has low erosion risk, 15.6% moderate, 8.1% high, 4.1% very high, and 2% severe erosion risk. The maximum soil loss observed is 55.3 tons/ha/year, with a mean annual soil loss of 0.22 tons/ha/year. Steep slopes, deforestation, and intensive agriculture significantly influence erosion patterns.},
        keywords = {soil erosion, soil loss, erosion risk, RUSLE, remote sensing and GIS.},
        month = {October},
        }