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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
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(5): 775-783
DOI: https://doi.org/10.20546/ijcmas.2019.805.092


Remote Sensing and GIS Approach for Spatiotemporal Mapping of Ramganga Reservoir
Vaibhav Deoli* and Deepak Kumar
Department of Soil and Water Conservation Engineering, College of Technology, G.B. Pant University of Agriculture and Technology, Pantnagar, India, 263145
*Corresponding author
Abstract:

Remote sensing is very useful to collect information about water resource and to manage it by satellite data. In this paper, study has been carried out for Ramganga reservoir using Landsat 8 imagery for spatiotemporal mapping. The imagery has been collected from 2013 to 2018 for pre-monsoon and post monsoon season. The reservoir, under study, is presently used for hydroelectric purpose and irrigation. Landsat-8 images which were cloud free has been taken for the study. The study is carried out on QGIS platform and Normalized Difference Vegetation Index (NDVI) has been used to map water spread area of the reservoir. Results of this study suggested that in pre-monsoon session, maximum water spread area of 59.81 km2was in 2014 whereas year 2017 has shown minimum water spread area of 3.18 km2 for pre-monsoon session. In post monsoon session, year 2014 shows maximum water spread area of68.53 km2 the reservoir whereas year 2016 shows minimum water spread area of 53.97 km2. The average water spread area of the reservoir in pre-monsoon was 40.01km2 and in post-monsoon was 61.84 km2. The results also suggested that NDVI could be used with accuracy to extract water features and also the spread area.


Keywords: Landsat-8, NDVI, Ramganga reservoir, QGIS, spatiotemporal
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How to cite this article:

Vaibhav Deoli and Deepak Kumar. 2019. Remote Sensing and GIS Approach for Spatiotemporal Mapping of Ramganga ReservoirInt.J.Curr.Microbiol.App.Sci. 8(5): 775-783. doi: https://doi.org/10.20546/ijcmas.2019.805.092