International Journal of Geomatics and Geosciences
Open Access
  • Year: 2011
  • Volume: 2
  • Issue: 2

Land use and Land Cover mapping using digital classification technique in Tikamgarh district, Madhya Pradesh, India using Remote Sensing

  • Author:
  • Sateesh Karwariya1a,1b,, Sandip Goyal2
  • Total Page Count: 11
  • Page Number: 519 to 529

1aResearch Associate, Centre for Policy Studies, New Delhi

2Sr. Scientist, Madhya Pradesh Council of Science and Technology, Bhopal (MP) 462003

1bAssociated With Madhya Pradesh Council of Science and Technology, Bhopal (MP) 462003, India

*Email: Sateesh.karwariya@gmail.com

Online published on 7 December, 2012.

Abstract

Tikamgarh is one of the oldest inhabitation of India. It is located in the northwestern part of Sagar Division of Madhya Pradesh. Geographically it lies on the Bundhelkhand Plateau between the Jamni, a tributary of the Betwa and the Dhasan rivers. It extends between the 24° 26’ N to 25° 34’ N latitudes and 78° 26’ E to 79° 21 E longitudes. The total geographical area of Tikamgarh District is 5048 sq. km. The total population of the district is 12,02,998 (2001 Census). Male constitute 53% and female 47% of the total population.

Land use and Land cover is an important parameter for developmental planning. In the present study an attempt has been made to generate the land use land cover map from IRS satellite image using unsupervised classification. The study is based on secondary data; and using Erdas imaging software to subset the study area. The satellite imagery has used to prepare the land use and land cover map using unsupervised classification. The land use and land cover map clearly shows that area of crop land is higher than others.

In this research paper, remotely sensed data would be used to fill the gap in the knowledge on the state of land use and Land cover in Tikamgarh district. The goal is to undertake a detailed, spatially explicit inventory of local trends in land use and land cover changes. This data coupled with the interdisciplinary assortment of scientific methods will be used to investigate the causes and consequences of land use/cover change across a range of spatial and temporal scales. The result of this paper would contribute to developing recommendations to enhance sustainability and foster resilience

Keywords

Land use, Land cover, LISS3+Pan Data, Satellite imagery, Unsupervised classification technique