Journal of Applied Geochemistry

UGC CARE (Group 1)
  • Year: 2019
  • Volume: 21
  • Issue: 3

The use of remote sensing & geographical information systems to identify vegetation: The case study in Adilabad district

  • Author:
  • Kolipaka Venu1,, Linga Swamy Jogu1
  • Total Page Count: 7
  • DOI:
  • Page Number: 364 to 370

1Department of Geophysics, Osmania University

Abstract

Change detection is a process of identifying variations in substances supposed in different time interims (Adia & Rabiu, 2008). This study uses the spatial-temporal dynamics of land use/cover change in Adilabad District, Telangana State, India, using satellite imageries of two different years 2000, 2008. Supervised classification method was applied to demonstrate an object in a certain period of time. The method represents vegetation index of differentiating through an object based on supervised classification along with expert knowledge of GIS. This method gave different results in terms of land cover area, and it is generally concluded that most accurate results are obtained from spatial images of medium resolution. Data from this process will be used for agriculture, urban and environmental changes in various time periods. All information leads to the conclusion that surface, under land class tabulation will be generated (Almutairi., & Warner., 2010). The result shows vegetation, forest degradation and increase in built-up area with seasonal urbanization. Maps of land use/land cover changes available in GIS platform can be used for enhancement of the available tools for urban planning and environmental factors in the area (Mahmoodzadeh H., 2007, Myneni, and Williams. 1994, NASA 2006, Poulin, Careau, Rochefort, and Desrochers. 2002).

Keywords

Imagery, Supervised Classification, Land Use Planning, Remote Sensing, Geographical Information System (GIS)