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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:
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
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author Kumar, B. Pradeep
Babu, K. Raghu
Ramachandra, M.
Krupavathi, C.
Swamy, B. Narayana
Sreenivasulu, Y.
Rajasekhar, M.
author_facet Kumar, B. Pradeep
Babu, K. Raghu
Ramachandra, M.
Krupavathi, C.
Swamy, B. Narayana
Sreenivasulu, Y.
Rajasekhar, M.
author_sort Kumar, B. Pradeep
collection PubMed
description 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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spelling pubmed-71865162020-05-04 Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS Kumar, B. Pradeep Babu, K. Raghu Ramachandra, M. Krupavathi, C. Swamy, B. Narayana Sreenivasulu, Y. Rajasekhar, M. Data Brief Earth and Planetary Science 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. Elsevier 2020-04-18 /pmc/articles/PMC7186516/ /pubmed/32368593 http://dx.doi.org/10.1016/j.dib.2020.105560 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Earth and Planetary Science
Kumar, B. Pradeep
Babu, K. Raghu
Ramachandra, M.
Krupavathi, C.
Swamy, B. Narayana
Sreenivasulu, Y.
Rajasekhar, M.
Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS
title Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS
title_full Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS
title_fullStr Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS
title_full_unstemmed Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS
title_short Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS
title_sort data on identification of desertified regions in anantapur district, southern india by ndvi approach using remote sensing and gis
topic Earth and Planetary Science
url 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
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