STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Remote Sensing & GIS

Landuse and Landcover analysis using Remote Sensing and GIS: A case study in parts of Kadapa District, Andhra Pradesh, India.

  1. Rajasekhar M
  2. Sudarsana Raju G
  3. Siddi Raju R
  4. Padmavathi A
  5. Balaram Naik B

Abstract

Digital change detection techniques by using multi-temporal satellite imagery helps in understanding landscape dynamics. The present study illustrates the spatio-temporal dynamics ofLand use/cover of around Chennur, Kadapa District, Andhra Pradesh India. Landsat satellite imageries of two different time periods, i.e., Landsat Thematic Mapper (TM) were acquired by earth explorer site and quantify the changes in the study area 2005-2006 to 20015-16 over a period of 10 years. Supervised classification methodology has been employed using maximum likelihood techniques in ERDAS 2014 Software. The images of the study area were categorized into five different classes, namely Forest, Agriculture, Wastelands, Built-up and waterbodies. The results indicate that during the last 10 years, Waste Land and Built-up land have been increased by 3.86% (3.79 Sq km) and 2.98% (2.93 Sq km) while Agriculture, Forest and Waterbodies have decreased by 5.17% (5.08 Sq km), 0.45% (0.44 Sq km) and 1.22% (1.20 Sq km), respectively.
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