The change detection in Chlorophyll concentration in stressed plants is frequently used as a plant health indicator. Chlorophyll, a major photosynthetic pigment in plants influences photosynthetic capability and hence promotes plant growth. The normalized Difference Vegetation Index (NDVI) is the most widely used index for vegetation mapping. It was one of the remote sensing analytical methods with reduced complexity of multi-spectral data and finding the vegetation cover of the study area. These attributes make the technique hugely used due to the fact that landsat 8 sensor with a Band 4 Red (0.64 - 0.67 µm) 30 m Band 5 Near-Infrared (0.85 - 0.88 µm) 30 m can compute the NDVI. Remote sensing data gives information on criteria that aid in vegetation priority, such as vegetation size and area. A comparative study with the change detection in NDVI was made. The study includes the detection of yearly average NDVI, with the greenish-yellow pixels indicating more vegetation area. Compared with other detection analytical techniques, NDVI is a cost-effective means of characterizing changes in any land use class. The study reveals that presently there has been a increase in agricultural land, and hilly terrain with vegetation whereas, dry vegetation was recorded during the last decade. The NDVI threshold value was found to vary significantly with value of 0.20 and above during the study period, where the seasonal change also impacted the change in vegetational cover.

APTI, Chlorophyll Content, Multispectral Data, NDVI, Vegetation Index