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Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS

B. Pradeep Kumar, K. Raghu Babu, M. Ramachandra, C. Krupavathi, B. Narayana Swamy, Yadamala Sreenivasulu, M. Rajasekhar

2020Data in Brief41 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

DesertificationNormalized Difference Vegetation IndexLand degradationRemote sensingAridGeographyVegetation (pathology)Land useWatershedEnvironmental scienceClimate changeAgricultureComputer scienceGeologyEcologyOceanographyPaleontologyBiologyPathologyMedicineArchaeologyMachine learningRemote Sensing in AgricultureRangeland Management and Livestock EcologyRemote Sensing and Land Use
Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS | Litcius