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

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) satellit...

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Detalles Bibliográficos
Autores principales: Kumar, B. Pradeep, Babu, K. Raghu, Ramachandra, M., Krupavathi, C., Swamy, B. Narayana, Sreenivasulu, Y., Rajasekhar, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Earth and Planetary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7186516/
https://www.ncbi.nlm.nih.gov/pubmed/32368593
http://dx.doi.org/10.1016/j.dib.2020.105560
Descripción
Sumario: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.

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