Impact of Land Dynamics on Agricultural Land
Keywords:
CARTOSAT, GIS, Land use, Markov, Remote SensingAbstract
Land use Land cover (LULC) change has taken place in Tiruchirappalli city in Tamil Nadu, India over the past two decades due to induced industrialization and urbanization. In this article, the impact of land dynamics on agricultural land was studied by the combined use of remote sensing, geographical information system (GIS) and stochastic modeling technologies. The different land use categories and their spatial and temporal variability in Tiruchirappalli city has been studied over a period of five years (2007-2012), from the analysis of CARTOSAT – 1 images for the year 2007, 2009, 2011 and 2012 using ArcGIS 9.3 and ERDAS Imagine 9.1 software. Maximum Likelihood Algorithm was employed to detect the LULC types. Based on the results of classified images, the agricultural land coverage area was observed to have reduced from the year 2007 to 2012 by 4.42 %, while the area under settlement increased from the year 2007 to 2012 by 7.12 %. An attempt was made to project the LU/LC change for the future using Markov model. The forecasted results indicated that, the area of agricultural land would maintain the decreasing tendency in future. The study demonstrates that the integration of satellite remote sensing and GIS was an effective approach for analyzing the temporal and spatial pattern of LU/LC change. The further integration of these two technologies with Markov modeling was found to be beneficial in describing and analyzing land use change process.
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