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Identification of Critical Erosion Prone Areas using Remote Sensing and GIS: A Case Study of Sarada River Basin
Background/Objectives: Developed an integrated soil erosion model utilizing RS and GIS approach and mapped for prioritization of critical soil erosion prone areas in a watershed. Methods/Statistical Analysis: The geomorphologic parameters of the watershed have been extracted using Arc-GIS software. In order to evaluate effectively for the soil erosion prone areas, the selected basin has been divided into 143 micro-watershed basins. The micro basins were analyzed using Universal Soil Loss Equation (USLE) soil loss based on annual basis has been assessed for the entire basin. Findings: The soil erosion estimation in a river basin has significant impact on reduction of the reservoir capacities on downstream side if they are situated at the downstream side. In the present study, the soil erosion has been estimated and identified for soil erosion based on their classification. Accordingly, the selected basin has five main categories of soil loss varying from 5 ton per ha per year to more than 80 ton per ha per year. The results obtained based on the present findings, it can be inferred that the Sarada basin has 12.12% area is prone for soil loss of more than 80 ton per ha per year which is under very severe erosion class, 40-80 ton per ha per year under severe class, 11.95% under very high class and 3.10% under high class and 27.78% under moderate class apart from 36.37% under not affected areas for soil erosion. Remote Sensing (RS) technology and Geographic Information System (GIS) were utilized to create and spatially establish the data and maps were generated for soil erosion modeling in the selected region. Applications/Improvements: In the present study, soil erosion has been estimated and critical prone areas for soil loss in a watershed basin that have been generated using RS and GIS.
RS and GIS. Soil Erosion, Topographic Factor, USLE, Watershed.
- Sehgal J, Abrol IP. Soil degradation in India: Status and impact. New Delhi: Oxford and IBH Publishing Co. Pvt. Ltd; 1994.
- Das RK. Sediment yield estimation for watershed prioritization: A remote sensing study. Indian Journal of Science and Technology. 2012 Mar; 5(3).DOI: 10.17485/ijst/2012/ v5i3/30393.
- Narayana D, Babu R. Estimation of soil erosion in India. Journal of Irrigation Drain Engineering, ASAE. 1983; 109(4):419–34.
- Singh G, Babu R, Narain P, Bhusan LS, Abrol IP. Soil erosion rates in Indian. J Soil water Conservation. 1992; 47(1):97–9.
- Venkateswaran K, Sowmya Shree T, Kousika N, Kasthuri N. Performance analysis of GA and PSO based feature selection techniques for improving classification accuracy in remote sensing images. Indian Journal of Science and Technology. 2016 Apr; 9(16). DOI: 10.17485/ijst/2016/ v9i16/87457.
- Sridhar V, Muralikrishna IV. Assessment of soil erosion is using remote sensing technique, ICORG-1994, remote sensing and GIS for environmental planning. New Delhi: Tata McGraw Hill Pub; 1994. p. 232–9.
- Samanta S, Pal DK, Lohar D, Pal B. Preparation of digital data sets on land use/land cover, soil and digital elevation model for temperature modeling using remote sensing and GIS techniques. Indian Journal of Science and Technology. 2011 Jun; 4(6). DOI: 10.17485/ijst/2011/v4i6/30081.
- Vemu S, Udaya Bhaskar P. An integrated approach for prioritization of reservoir catchment using remote sensing and geographic information system techniques. Journal of Geocarto International, London, UK. 2009; 25(2):149–68.
- Jain SK. Integration of GIS and remote sensing in soil erosion studies. Report No. CS (AR)-186. Roorkee: National Institute of Hydrology; 1994.
- Fistikoglu O, Harmancioglu NB. Integration of GIS with USLE in assessment of soil erosion. Water Resource Management. 2002; 16:447–67.
- Yoshino K, Ishioka Y. Guidelines for soil conservation towards integrated basin management for sustainable development: A new approach based on the assessment of soil loss risk using remote sensing and GIS. Paddy Water Environ. 2005; 3:235–47.
- Richardson CW, Foster GR, Wright DA. Estimation of erosion index from daily rainfall amount. Transactions of the American Society of Agricultural Engineers. 1983; 26(1):153–60.
- Panigrahi B, Senapai P, Behera B. Development of erosion index model from daily rainfall data. Journal of Applied Hydrology. 1996; 9(2):17–22.
- Foster GR, McCool DK, Renard KG, Moldenhauer WC. Conversion of the Universal Soil Loss Equation to SI Metric Units. Journal of Soil Water Conservation. 1981; 36:355–9.
- Lu D, Li G, Valladares GS, Batistella M. Mapping soil erosion risk in Rondonia, Brazilian Amazonia using RUSLE, remote sensing and GIS. John Wiley and Sons Ltd. 2004. p. 499–512.
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