Integrated approach of using remote sensing and GIS to study watershed prioritization and productivity |
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| Authors: | D Martin S K Saha |
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| Institution: | (1) P.G. Department of Geology, University of Jammu, Jammu, 180 006, India |
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| Abstract: | Soil data obtained from soil resource inventory, land and climate were derived from the remote sensing satellite data (Landsat
TM, bands 1 to 7) and were integrated in GIS environment to obtain the soil erosion loss using USLE model for the watershed
area. The priorities of different sub-watershed areas for soil conservation measures were identified. Land productivity index
was also used as a measure for land evaluation. Different soil and land attribute maps were generated in GIS, and R,K,LS,C
and P factor maps were derived. By integrating these soil erosion map was generated. The mapping units, found not suitable
for agriculture production, were delineated and mapped as non-arable land. The area suitable for agricultural production was
carved out for imparting the productivity analysis; the land suitable for raising agricultural crops was delineated into different
mapping units as productivity ratings good, fair, moderate and poor. The analysis performed using remote sensing and GIS helped
to generate the attribute maps with more accuracy and the ability of integrating these in GIS environment provided the ease
to get the required kind of analysis. Conventional methods of land evaluation procedures in terms of either soil erosion or
productivity are found not comparable with the out put generated by using remote sensing and GIS as the limitations in generating
the attribute maps and their integration. The results obtained in this case study show the use of different kinds of data
derived from different sources in land evaluation appraisals. |
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