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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-06-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920304546 |
| _version_ | 1811285657465651200 |
|---|---|
| author | B. Pradeep Kumar K. Raghu Babu M. Ramachandra C. Krupavathi B. Narayana Swamy Y. Sreenivasulu M. Rajasekhar |
| author_facet | B. Pradeep Kumar K. Raghu Babu M. Ramachandra C. Krupavathi B. Narayana Swamy Y. Sreenivasulu M. Rajasekhar |
| author_sort | B. Pradeep Kumar |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T02:48:18Z |
| format | Article |
| id | doaj.art-16db30d92876480391a611a51e29915b |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-13T02:48:18Z |
| publishDate | 2020-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-16db30d92876480391a611a51e29915b2022-12-22T03:05:56ZengElsevierData in Brief2352-34092020-06-0130105560Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GISB. Pradeep Kumar0K. Raghu Babu1M. Ramachandra2C. Krupavathi3B. Narayana Swamy4Y. Sreenivasulu5M. Rajasekhar6Department of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, India; Corresponding author.Department of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, IndiaDepartment of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, IndiaDepartment of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, IndiaDepartment of Geology, Sri Venkateswara University, Tirupathi, Andhra Pradesh 517502, IndiaDepartment of Humanities, SSL, VIT University, Vellore, Tamil Nadu 632014, IndiaDepartment of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, IndiaPresent 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.http://www.sciencedirect.com/science/article/pii/S2352340920304546DesertificationNDVIDSMRemote SensingERDAS ImagineArc GIS |
| spellingShingle | B. Pradeep Kumar K. Raghu Babu M. Ramachandra C. Krupavathi B. Narayana Swamy Y. Sreenivasulu M. Rajasekhar Data on identification of desertified regions in Anantapur district, Southern India by NDVI approach using remote sensing and GIS Data in Brief Desertification NDVI DSM Remote Sensing ERDAS Imagine Arc 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 | Desertification NDVI DSM Remote Sensing ERDAS Imagine Arc GIS |
| url | http://www.sciencedirect.com/science/article/pii/S2352340920304546 |
| work_keys_str_mv | AT bpradeepkumar dataonidentificationofdesertifiedregionsinanantapurdistrictsouthernindiabyndviapproachusingremotesensingandgis AT kraghubabu dataonidentificationofdesertifiedregionsinanantapurdistrictsouthernindiabyndviapproachusingremotesensingandgis AT mramachandra dataonidentificationofdesertifiedregionsinanantapurdistrictsouthernindiabyndviapproachusingremotesensingandgis AT ckrupavathi dataonidentificationofdesertifiedregionsinanantapurdistrictsouthernindiabyndviapproachusingremotesensingandgis AT bnarayanaswamy dataonidentificationofdesertifiedregionsinanantapurdistrictsouthernindiabyndviapproachusingremotesensingandgis AT ysreenivasulu dataonidentificationofdesertifiedregionsinanantapurdistrictsouthernindiabyndviapproachusingremotesensingandgis AT mrajasekhar dataonidentificationofdesertifiedregionsinanantapurdistrictsouthernindiabyndviapproachusingremotesensingandgis |