Urban Growth Assessment of Chennai District by Remote Sensing and Gis Techniques
Thangaperumal. S1, Muthu Maneckam. N2, Nachiappan.G3

1S.Thangaperumal, Assistant Professor, Department of Civil Engineering, St.Joseph’s College of Engineering, Chennai-600119, India.
2N.Muthu Maneckam, Department of Civil Engineering, St.Joseph’s College of Engineering, Chennai, India.
3G.Nachiappan, Department of Civil Engineering, St.Joseph’s College of Engineering, Chennai, India.
Manuscript received on February 27, 2020. | Revised Manuscript received on March 14, 2020. | Manuscript published on March 30, 2020. | PP: 5119-5125 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9059038620/2020©BEIESP | DOI: 10.35940/ijrte.F9059.038620

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Urban growth of Chennai district is exponential and heading towards extreme urbanisation. Hence this necessitates the study of urban growth in Chennai district. The recent advancement in Remote sensing and GIS has an excellent ability to derive various data from the satellite images obtained .This helps us to map, monitor and picturise various aspects of development with respect to their demands. The basic principle of remote sensing is followed as the methodology. By following the methodology correctly and by proper processing of the data acquired from the satellite images, the exact requirements of information can be obtained. The Change in the urban growth of the Chennai district for three decades from 1989 to 2019 have been found by using remote sensing and GIS techniques. The satellite images of various years are obtained from Landsat satellite from the USGS Earth Explorer .The Land use characteristics of Chennai district of each year can be obtained by preparing the land use land cover map of Chennai district by the use of landsat satellite images. The two software namely ArcGIS and ERDAS Imagine are used to create the Land use land cover map. From the Land use land cover map of Chennai district, the change detection and statistical analysis of three decades are done and these analysis clearly shows that the urban growth of Chennai district is constantly increasing and there is a huge decrease in other natural features such as vegetation, water body and barren land. By performing urban trend analysis the urban growth of Chennai district for the upcoming years are predicted to prove the urban agglomeration in Chennai district.
Keywords: Chennai, Land use/cover, Remote sensing, GIS.
Scope of the Article: Computational Techniques in Civil Engineering.