“NDVI: Vegetation Performance Evaluation Using RS and GIS”: Fid-Bau Portal

“NDVI: Vegetation Performance Evaluation Using RS and GIS”

Khillare, A. / Patil, K. A.

Vegetation as an ecosystem’s crucial part, plays a key role in soothing global environment. Normalized Difference Vegetation Index (NDVI) is one such remote sensing technique that is widely used to compute vegetation cover change. Remote sensing and Geographical Information System methods are used often in examining natural resources, determination of land changes and related planning work. The methodology discussed in this study is based on association with vegetation remote sensed data in the form of Normalized Difference Vegetation Index (NDVI). The major application of this index is to monitor the vegetative cover. NDVI is a function of reflected Near Infrared (NIR) and Visible (VIS) radiance’s spectral contrast from a surface. A further study is made on the calculated NDVI to evaluate the agricultural drought index in the form of Vegetation Health Index. This index comprises of Vegetation Condition Index (VCI) and Land Surface Temperature (LST). Vegetation health is assessed based on VHI, which is suitable indicator of agricultural drought extent. A correlation is studied statistically between NDVI, VHI, precipitation and temperature. The present study is focussed on the Shirur and Khed talukas of Pune district for the years 2000, 2003, 2009, 2012, 2015 and 2018 for particular months. The use of data Landsat 7 ETM+ for the year till 2012 and data Landsat 8 OLI for 2015 and 2018 was made. Data was obtained from U. S Geological Survey. The precipitation data was taken from maharain.gov.in. Thus, vegetative cover over the specified area was studied including the drought severity. A liner regression analysis is performed using the evaluated data which can be used to forecast the vegetation condition as an early warning system for agricultural drought.