Change Detection of Vegetation Cover by NDVI Technique on Radhangari Wildlife Sanctuary of Kolhapur District in Maharashtra, India

Sandip Mane, Sudhip Powar, Sambhaji Shinde

Abstract


The degradation of green cover has been going on since the beginning of human culture in space. The loss of natural forests as a result of progressive activities has become a major environmental concern. The loss of green vegetation is a fact of hydroelectric power generation by impeding the natural flow of a river. It has an influence on both the upper and lower catchment areas' vegetation. Various techniques of Vegetation Index (VI) based on Remote Sensing (RS) and Geographical Information System (GIS) methods are used to analyses this damage. One of the most widely used techniques for assessing vegetation cover is the Normalized Difference Vegetation Index (NDVI. For this study three decade has taken for calculating the NDVI of Radhanagari wildlife Sanctuary. After calculating the NDVI it shows the year 1998 shows 0.71 highest NDVI value and -0.48 was lowest, in the year 2008 highest NDVI was 0.38 and the lowest was -0.46 and for the year 2018 it was 0.49 highest and -0.12 NDVI values. This decreased NDVI represent forest area has degraded rapidly.


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References


T. S. Chauthan, ”Geographical Information system and Remote Sensing for sustainable Development,” vol. 2, Universal Scientific publishers, Jaipur, 2003.

P. Coppin Correspond, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, “Review ArticleDigital change detection methods in ecosystem monitoring: a review,” Int. J. Remote Sens., vol. 25, no. 9, pp. 1565–1596, 2004.

Y. Du, P. M. Teillet, and J. Cihlar, “Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection,” Remote Sens. Environ., vol. 82, no. 1, pp. 123–134, 2002.

S. S. Mane and S. D. Shinde, “Impact of Transportation Activities on Radhanagari Wildlife Sanctuary: A Geographical Analysis,” Akshar Wangamay International Research Journal, Vol. IV, pp.82-85, 2021.

M. Kumar, D. K. Tripathi, ”Spatial Monitoring of Urban Growth of Nagpur City (India) Using Geospatial Techniques,” J. Settle. Spat. Plan., vol. 5, no. 2, pp. 91-98, 2014.

J.-F. Mas, “Monitoring land-cover changes: A comparison of change detection techniques,” Int. J. Remote Sens., vol. 20, no. 1, pp. 139– 152, 1999.

S. Ratnaparkhi, and B. W. Gawali, “Classification of Land Use and Land Cover Using Remotely Sensed Data for Parbhani City, Maharashtra, India,” Int. J. Sci. Res., vol. 4, no. 5, pp. 269-272, 2013.

S. Ehsan and D. Kazem, “Analysis of land use-land covers changes using normalized difference vegetation index (NDVI) differencing and classification methods,” Afr. J. Agric. Res., vol. 8, no. 37, pp. 4614–4622, 2013.

A. Singh, “Review Article Digital change detection techniques using remotely-sensed data,” Int. J. Remote Sens., vol. 10, no. 6, pp. 989– 1003, 1989.

L. T. Steyaert, F. G. Hall, and T. R. Loveland, “Land cover mapping, fire regeneration, and scaling studies in the Canadian boreal forest with 1 km AVHRR and Landsat TM data,” J. Geophys. Res., vol. 102, no. D24, pp. 29581–29598, 1997


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