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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7186516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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