Journal
DATA IN BRIEF
Volume 30, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.dib.2020.105560
Keywords
Desertification; NDVI; DSM; Remote Sensing; ERDAS Imagine; Arc GIS
Categories
Funding
- Department of Science and Technology (DST), Government of India [DST/INSPIRE Fellowship/2017/IF170114]
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Present dataset aims at the inventory data on preparation of Desertification Status Maps (DSM) for the first time in semi-arid region of Anantapur district in the state of Andhra Pradesh, South India by applying Normalized Difference Vegetation Index (NDVI) with acquired Remote Sensing (RS) satellite imageries and processed in ERDAS Imagine and ArcGIS software's. The NDVI has been classified into five such as water body, vegetation, fallow land, degradation land, and desertified land. Further, degradation land has been decreased to 4.87% which lead to desertification in the study region. The current research data will be resourceful to the environmental scientists and planning agencies who can utilize optimum for sustainable development and good governance in land degradation, desertification, and conserve land resources. (C) 2020 Published by Elsevier Inc.
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