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Using the Normalized Differential Vegetation Index (NDVI) to Detect Vegetative Change with Remote Sensing and GIS: A Study of the Kumbur River Basin in Kodaikanal Taluk, Dindigul District

Author

Listed:
  • Mahesh Ramanujam

    (Tamil University, Thanjavur, India.)

  • Neelakantan Rangasamy

    (Tamil University, Thanjavur, India.)

  • Anbalagan Rathinam

    (Indian Institute of Technology, India.)

  • Padmanaban Veeraiyan

    (Bharathidasan University, India.)

Abstract

Land use exercises also ultimately affect land cover spatially and in the short term. The primary consideration responsible for land cover adjustment is to meet the growing needs of an expanding population through the intensification of food crops and the clearing of conventional land cover as forests for food and business activities. Land cover modification also disturbs other characteristics of soil maturity, soil decay, environment, biodiversity, air quality and water systems of the disturbed area. Innovating remote sensing and GIS has been developed as a suitable instrument to examine the land use and land cover adjustment of the area at spatial and transient scale. In this survey, the NDVI-based team demonstrated a remarkable change in land cover from 2009 to 2016. A large change was observed in forest cover, where approximately (3.34%) of the forest was degraded between 2009 and 2016.

Suggested Citation

Handle: RePEc:epw:ejgeo0:v:3:y:2022:i:5:id:16270
DOI: 10.24018/ejgeo.2022.3.5.270
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