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<p>Soil erosion is intensified by factors like heavy rains, steep slopes, and alterations in land management practices. Numerous modelling studies have been undertaken to provide quantitative estimates of soil loss within a reasonable timeframe. The Revised Universal Soil Loss Equation (RUSLE) is a widely utilized model for calculating soil loss. The RUSLE formula takes into account the land slope, soil type, and the intensity and duration of rainfall. The RUSLE approach identifies rainfall (R), topography (LS), soil erodibility (K), cover management (C), and conservation practices (P) as the key elements influencing soil erosion. Thematic layers representing each of these factors are employed as inputs for evaluating soil erosion and creating decadal soil loss maps using GIS technology. Data from remote sensing sources such as LANDSAT 8, Digital Elevation Model, and rainfall records were utilized to assess soil loss through the RUSLE method from 2020 to 2024. Findings revealed that the average soil loss was determined to be 58.1125 <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\:t.{ha}^{-1}{yr}^{-1}\)</EquationSource> </InlineEquation> and 51.798 <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\:t.{ha}^{-1}{yr}^{-1}\)</EquationSource> </InlineEquation>, respectively. A reduction in the erosion rate was observed for the year 2024. Since these results are above the sustainable threshold, there is a necessity of safeguarding natural land cover to mitigate soil erosion and an urgent need for conservation and protection measures in Goa to preserve the natural landscape and effectively minimize soil erosion.</p>

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Estimation of Soil Erosion in Goa Using RUSLE, Remote Sensing and GIS

  • 期刊论文

  • 发表日期：

    2026年4月2日

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  • Vanessa Fernandes,
  • Purnanand P. Savoikar

摘要

Soil erosion is intensified by factors like heavy rains, steep slopes, and alterations in land management practices. Numerous modelling studies have been undertaken to provide quantitative estimates of soil loss within a reasonable timeframe. The Revised Universal Soil Loss Equation (RUSLE) is a widely utilized model for calculating soil loss. The RUSLE formula takes into account the land slope, soil type, and the intensity and duration of rainfall. The RUSLE approach identifies rainfall (R), topography (LS), soil erodibility (K), cover management (C), and conservation practices (P) as the key elements influencing soil erosion. Thematic layers representing each of these factors are employed as inputs for evaluating soil erosion and creating decadal soil loss maps using GIS technology. Data from remote sensing sources such as LANDSAT 8, Digital Elevation Model, and rainfall records were utilized to assess soil loss through the RUSLE method from 2020 to 2024. Findings revealed that the average soil loss was determined to be 58.1125 \(\:t.{ha}^{-1}{yr}^{-1}\) and 51.798 \(\:t.{ha}^{-1}{yr}^{-1}\) , respectively. A reduction in the erosion rate was observed for the year 2024. Since these results are above the sustainable threshold, there is a necessity of safeguarding natural land cover to mitigate soil erosion and an urgent need for conservation and protection measures in Goa to preserve the natural landscape and effectively minimize soil erosion.