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Research Article | Open Access
Volume 3 | Issue 7 | Year 2016 | Article Id. IJCE-V3I7P129 | DOI : https://doi.org/10.14445/23488352/IJCE-V3I7P129

Change Detection of Land use Land Cover using GIS & Remote Sensing for Doon Valley

Ashish Bhandari, Nitin Bela, Nitin Mishra, Sakshi Gupta

Citation :

Ashish Bhandari, Nitin Bela, Nitin Mishra, Sakshi Gupta, "Change Detection of Land use Land Cover using GIS & Remote Sensing for Doon Valley," International Journal of Civil Engineering, vol. 3, no. 7, pp. 33-36, 2016. Crossref, https://doi.org/10.14445/23488352/IJCE-V3I7P129

Abstract

 In understanding the interactions of the human activities with the environment an important component is the Land use and Land cover and therefore it is necessary to be able to replicate changes.The study has been done by using GIS and through remote sensing approach. The rapid growth of population in urban India is a reason of worry among the country’s urban and town planners land cover changes. Land cover is a physical substance at the surface of the earth. In recent years, the application of remotely sensed data and geographical information system (GIS) has been widely used for the significance of spatial data technologies. The aim of this study is to detect land use and land cover change between years 2000 to 2011 using satellite images of resolution 30 m.The three satellite images of year2000, 2005 and 2011 of path row 146-39 were acquired from the GLCF website. The objective is to provide a land use/land cover map at two epochs of Doon valley in order to identify the changes that have taken place mostly in the built up land and forest areas. Image processing method in ERDAS Imagine9.2 and ARC GIS 9.3 has been used to detect Land use changes. Supervised classification method is used for the urban land use and land cover classification. The different layers belonging to various land uses identified from remotely sensed data are prepared by using GIS software. The analysis of the results shows a radical increase of the built up area or urban area from 4.1% to 17.61%, an increase in agriculture area from 10.57% to 18.13%, an increase in barren land area from 0.15% to 8.81%,a reduced green cover (forest cover) from 80.8% to 53.3% and a decrease in water area from 4.35% to 2.12%.

Keywords

  Urban, land use and cover, change detection, remote sensing, geographical information system.

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