Abstract
Satellite imagery plays a dominant role in assessment of geographical features of earth, vegetation and landform change detection, monitoring of weather, air pollution and water body, etc. In this work, recently available Landsat 8 Level 2 reliable products are used to extract and analyze NDVI for landform, vegetation change detection, and classification. NDVI is the quantitative measure that has sub-ranges to broadly classify the landform into five classes, such as water, soil and rock, grassland and agriculture area, dense vegetation, and very dense vegetation. NDVI based different approaches, such as histogram formation, colour coded images, confusion matrix generation are applied to classify landform and estimate the change in vegetation and landcover of a region over certain time span. The software tool in Python is developed for the methods of Landsat 8 retrieval to classify the landform and estimate the change in vegetation of certain regions of India.
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