This paper is published in Volume-4, Issue-2, 2018
Area
Remote Sensing
Author
Pavithra Priyadharshini K, S. Suresh Babu
Org/Univ
Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India
Keywords
Remote Sensing, GIS, Urban SPRAWL, Modelling, Land Use, Land Cover
Citations
IEEE
Pavithra Priyadharshini K, S. Suresh Babu. Urban SPRAWL Modelling for then using RS and GIS, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Pavithra Priyadharshini K, S. Suresh Babu (2018). Urban SPRAWL Modelling for then using RS and GIS. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Pavithra Priyadharshini K, S. Suresh Babu. "Urban SPRAWL Modelling for then using RS and GIS." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Pavithra Priyadharshini K, S. Suresh Babu. Urban SPRAWL Modelling for then using RS and GIS, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Pavithra Priyadharshini K, S. Suresh Babu (2018). Urban SPRAWL Modelling for then using RS and GIS. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Pavithra Priyadharshini K, S. Suresh Babu. "Urban SPRAWL Modelling for then using RS and GIS." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Abstract
Theni is the one of the Agricultural based city in Tamil Nadu due to the population increase its more urbanized. The urban Sprawl modelling for the Theni town was made and the comparative built up area was calculated. A comparative study of land use land cover of the Andipatty taluk under Theni district of Tamil Nadu was done using remote sensing and GIS techniques. The period under study was 2004-2017. Since in this 13 years there has been massive growth all over India the rate of growth was massive. Multi-temporal Landsat Imageries (LANDSAT 5 and LANDSAT 7) were obtained in this study. Arc GIS 10.4 had been used. Erdas Imagine 14 was used for land cover classification. It was classified into three categories: Built-up area, Vegetation and Water bodies. Land cover maps were generated and change detection analysis was performed. There was a steep rise in the built-up area and it continues to encroach on the forest and vegetation. There was also a second method where the area was digitized and land use was classified in ArcMap for two different years.