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Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment

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  • Sreenivasulu Vemu
  • Udaya Pinnamaneni

Abstract

Soil erosion is a serious environmental problem in Indravati catchment. It carries the highest amount of sediments compared with other catchments in India. This catchment spreading an area of 41,285 km 2 is drained by river Indravati, which is one of the northern tributaries of the river Godavari in its lower reach. In the present study, USLE is used to estimate potential soil erosion from river Indravati catchment. Both magnitude and spatial distribution of potential soil erosion in the catchment is determined. The derived soil loss map from USLE model is classified into six categories ranging from slight to very severe risk depending on the calculated soil erosion amount. The soil erosion map is linked to elevation and slope maps to identify the area for conservation practice in order to reduce the soil loss. From the model output predictions, it is found that average erosion rate predicted is 18.00 tons/ha/year and sediment yield at the out let of the catchment is 22.30 Million tons per annum. The predicted sediment yield verified with the observed data. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Sreenivasulu Vemu & Udaya Pinnamaneni, 2011. "Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1299-1315, December.
    • Handle: RePEc:spr:nathaz:v:59:y:2011:i:3:p:1299-1315
    DOI: 10.1007/s11069-011-9832-6
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    References listed on IDEAS

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    1. J. Onyando & P. Kisoyan & M. Chemelil, 2005. "Estimation of Potential Soil Erosion for River Perkerra Catchment in Kenya," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(2), pages 133-143, April.
    2. Okan Fistikoglu & Nilgun Harmancioglu, 2002. "Integration of GIS with USLE in Assessment of Soil Erosion," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(6), pages 447-467, December.
    3. Sanjay Jain & Sudhir Kumar & Jose Varghese, 2001. "Estimation of Soil Erosion for a Himalayan Watershed Using GIS Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 15(1), pages 41-54, February.
    4. Ashish Pandey & V. Chowdary & B. Mal, 2007. "Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(4), pages 729-746, April.
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    Cited by:

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    3. Richarde Silva & Suzana Montenegro & Celso Santos, 2012. "Integration of GIS and remote sensing for estimation of soil loss and prioritization of critical sub-catchments: a case study of Tapacurá catchment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 953-970, July.

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