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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 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
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 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2021.10(3): 2112-2119
DOI: https://doi.org/10.20546/ijcmas.2021.1003.266


Watershed Programme Impact Assessment Study on LULC and NDVI using Remote Sensing and GIS in Srikakulam District of Andhra Pradesh
P. V. R. M. Reddy1*, M. Girija Shankar1, B. Janardhan Reddy1, Y. Shankar Naik1, R. V. Ramana1, D. V. S. R. L. Rekha1, V. H. Vinod Kumar2 and M. Singarao3
1Director (WS), 2Commissioner, 3Joint Commissioner (WS), 4State Technical Expert (Forestry), O/o SLNA, PR&RD Department, Tadepalli, Andhra Pradesh, India.Chief Engineer5, Chief6, Deputy Chief Engineer7, Consultant (Soil Science)8, WAPCOS Limited, Hyderabad, Telangana State, India
*Corresponding author
Abstract:

The present study was taken up to assess the impact of watershed programme on LULC & NDVI using remote sensing & GIS in Muddada Watershed project (2010-2011 to 2017-2018) of Srikakulam dist, Andhra Pradesh. The study was carried out using IRS Resourcessat-2 LISS-IV satellite imageries data of 2011 (Pre 17-Oct-2011) and 2017 (Post 02-Nov-2017) covering the watershed to assess the changes in land use / land cover and NDVI for a period of five years (2011-2017). The images were classified into different land use/land cover categories using supervised classification by maximum likelihood algorithm. They were also classified into different vegetation levels using Normalized Difference Vegetation Index (NDVI) approach. The results revealed that the area under crop land and plantation were increased by 612.42 ha (17.61%) and23.85 ha (1.08%) respectively. This was due to the fact that parts of wastelands and fallow lands were brought into cultivation. This increase in the area may also be attributed to better utilization of surface and ground waters, adoption of soil and water conservation practices and capacity building of the watershed community. The area under current fallow decreased by 209.33 ha (67.34%) and waste lands by 379.26 ha (55.43%). Substantial increase in the area under dense vegetation (35.12%) and open vegetation (26.90%) was also observed. The water body area also increased from 57 ha to 63 ha might be due to rain water conservation activities taken up in the project area.


Keywords: Watershed, Impact Assessment, Land use - land cover (LULC), Normalised DifferenceVegetation Index (NDVI), Remote sensing, Geographical Information System (GIS)
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How to cite this article:

Reddy, P. V. R. M., M. Girija Shankar, B. Janardhan Reddy, Y. Shankar Naik, R. V. Ramana, D. V. S. R. L. Rekha, V. H. Vinod Kumar and Singarao, M. 2021. Watershed Programme Impact Assessment Study on LULC and NDVI using Remote Sensing and GIS in Srikakulam District of Andhra Pradesh.Int.J.Curr.Microbiol.App.Sci. 10(3): 2112-2119. doi: https://doi.org/10.20546/ijcmas.2021.1003.266