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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(12): 2952-2962
DOI: https://doi.org/10.20546/ijcmas.2018.712.337


Generation of Thematic Maps of a Forest Watershed using Remote Sensing and GIS
K.M. Gojiya1*, N.K. Gontia2 and K.C. Patel1
1Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Technology, Junagadh Agricultural University, Gujarat, 362001, India
2College of Agricultural Engineering and Technology, Junagadh Agricultural University, Junagadh, Gujarat, 362001, India
*Corresponding author
Abstract:

The study was carried out to develop various thematic maps for a restricted forest watershed named Machhundri, located at Gir Sanctuary of Saurashtra region in Gujarat, India. Different thematic maps comprising of elevation map, aspect map, contour map, land use/land cover map, slope map, drainage map and soil map were generated using remote sensing and GIS methods. Satellite imageries and ArcGIS software were used in the process. Steeper slopes with denser contour lines were found in upstream areas of the catchment while relatively flat area with moderately spaced contours was discovered in downstream. The area was found to be undisturbed as being inside a reserved forest. Major percentage of watershed area (96 percent) was having loamy soil texture and almost 98 percent area was under forest land cover class which may well be the reason of lesser erosion and low peaks of runoff. Watershed was found to be sixth order catchment with steeper slopes found near first order stream.


Keywords: Thematic maps, GIS, Forest watershed
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How to cite this article:

Gojiya, K.M., N.K. Gontia and Patel, K.C. 2018. Generation of Thematic Maps of a Forest Watershed using Remote Sensing and GISInt.J.Curr.Microbiol.App.Sci. 7(12): 2952-2962. doi: https://doi.org/10.20546/ijcmas.2018.712.337