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

B. Pradeep Kumar; K. Raghu Babu; M. Ramachandra; C. Krupavathi; B. Narayana Swamy; Y. Sreenivasulu; M. Rajasekhar

Data in Brief (Jun 2020)

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

B. Pradeep Kumar,
K. Raghu Babu,
M. Ramachandra,
C. Krupavathi,
B. Narayana Swamy,
Y. Sreenivasulu,
M. Rajasekhar

Affiliations

B. Pradeep Kumar: Department of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, India; Corresponding author.
K. Raghu Babu: Department of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, India
M. Ramachandra: Department of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, India
C. Krupavathi: Department of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, India
B. Narayana Swamy: Department of Geology, Sri Venkateswara University, Tirupathi, Andhra Pradesh 517502, India
Y. Sreenivasulu: Department of Humanities, SSL, VIT University, Vellore, Tamil Nadu 632014, India
M. Rajasekhar: Department of Geology, Yogi Vemana University, Kadapa, Andhra Pradesh 516005, India

Journal volume & issue: Vol. 30
p. 105560

Abstract

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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.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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