Pandian, Rajagopal, Sakthivel and Amrutha, D. (2014) Land Use and Land Cover Change Detection using Remote Sensing and GIS in Parts of Coimbatore and Tiruppur Districts, Tamil Nadu, India. International Journal of Remote Sensing & Geoscience, 3, 15-20.

has been cited by the following article:

• TITLE: Spatial-Temporal Analysis of LU/LC Classification in Nirmal Mandal, Adilabad, Telangana State, India, by Using Remote Sensing and GIS

  AUTHORS: Dr T. Madhu, D. Naresh Kumar, D. Niteesh Reddy, P. V. E. Ravi Teja, L. Narayana, V. Vishal, B. Subash, A. Maniratnam, Y. Vasavi, V. Shakeena

  KEYWORDS: Nirmal Mandal, GIS, LU/LC Classification

  JOURNAL NAME: International Journal of Geosciences, Vol.8 No.11, November 15, 2017

  ABSTRACT: In this project, we studied land use and land cover classification of Nirmal Mandal, Adilabad district, Telenagna state by using Geographical Information system and Remote sensing techniques. LISS-IV satellite image resolution 5 m × 5 m provides quality information for identification of Land use/Land cover characteristics. The image accuracy shows 45.70% of Agricultural land, 9.10% Built-up land, Forest area is 7.90%, Barren land have 7.60% and Uncultivated land occupied 29.70%. National land use and land cover mapping report based on 5 divisions classified in the study area. The area land use and land cover classification provide reliable data to understand land, water, soil, forests, urban sprawl. This socio economic survey significantly shows the changes that so far have taken place. This will help the people/farmers for the future land use and land cover change detection. Regular monitoring of agriculture, forest and greening efforts for plantation at suitable area, schemes and limitations. Free ware browsing of land cover gives sufficient development to plenty resource.