Measuring Vegetation Cover Change in Kinwat Wildlife Sanctuary, Maharashtra, India Using Normalized Difference Vegetation Index

Abstract

This study has been undertaken to measure land cover change in Kinwat wildlife sanctuary, Nanded using NDVI. Remote Sensing and Image processing technologies enable us to cope with the objectives of change detection. Most of the changes of vegetation cover are happening in earth in the close proximity of human inhabitations. Study is carried out to analyze the vegetation cover changes to detect the past and present vegetation cover conditions of study area using multi temporal remote sensing data IRS-LISS-III 2008 and IRS- LISS-III 2019 respectively. NDVI (Normalized Difference Vegetation Index) for the study area were determined which is an important indicator and were generated for both images of year 2008 and 2019 respectively. The image pair is acquired in the same season in order to minimize the impacts of seasonal differences of vegetation. Vegetation cover analysis would help the local people to utilize the resources for sustainable development of the study area. Key Words: remote sensing,