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DC Field | Value | Language |
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dc.contributor.author | Bera, Kartic | |
dc.contributor.author | Bandyopadhyay, Jatisankar | |
dc.date.accessioned | 2016-12-27T01:14:07Z | - |
dc.date.available | 2016-12-27T01:14:07Z | - |
dc.date.issued | 2014-10-12 | |
dc.identifier.issn | 0972-7388 | |
dc.identifier.uri | http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/1188 | - |
dc.description | 99-109 | en_US |
dc.description.abstract | Soil conservation planning often requires estimates of soil erosion at a catchment or regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its subsequent Revised Universal Soil Loss Equation (RUSLE) are useful tools to generate the quantitative estimates necessary for designing sound conservation measures. This study focuses on the calculation of erosion using the Revised Universal Soil Loss Equation (RUSLE). All parameters are calculated on the base of remote sensing data. First to understand the relationships between plateau buildings related to climatic factors and erosion, while the second goal is to produce a precise erosion risk map for the whole region which is observed in this study. The result advocates for check dam construction at selected sites. Whereas the check dam sites are selected by analyzing the information experienced through analyzing the maps and imageries with RS &GIS techniques. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Vidyasagar University , Midnapore , West Bengal , India | en_US |
dc.relation.ispartofseries | Indian Journal of Geography And Environment;13 | |
dc.subject | USLE | en_US |
dc.subject | Erosion | en_US |
dc.subject | Remote Sensing | en_US |
dc.subject | Geographical Information System | en_US |
dc.title | Estimation of Soil Loss by USLE Model in Upper Part of Dwarakeswar River Using Geoinformatics | en_US |
dc.type | Article | en_US |
Appears in Collections: | Indian Journal of Geography and Environment Vol.13 [2014] |
Files in This Item:
File | Description | Size | Format | |
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Kartic Bera.pdf | 858.88 kB | Adobe PDF | View/Open |
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