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

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.

SUBMITTER: Kumar BP

PROVIDER: S-EPMC7186516 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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

Kumar B Pradeep BP Babu K Raghu KR Ramachandra M M Krupavathi C C Swamy B Narayana BN Sreenivasulu Y Y Rajasekhar M M

Data in brief 20200418

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, d ...[more]

PMID: 32368593

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