Geospatial Analysis of Slum Growth using Multi-Temporal Satellite Imagery in Ranchi, India
Amiya Kumar Mahato1, A. Manimaran2
1Amiya Kumar Mahato, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, (Tamil Nadu), India.
2A Manimaran, Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, (Tamil Nadu), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1646-1650 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2874037619/19©BEIESP
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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: Slum growth is not wealthy for city progress which requires to be resolved. This need to be done for understanding the growth of slum around the city. In the future, it will become a great barrier to city development and management to handle the slums in a conventional way.This study concentrated on the land use, land cover changes and the detection of slum growth in Ranchi municipality, Ranchi district. It has used remote sensing approach of temporal Landsat imagery for detecting the change the land-use/cover and using visual interpretation technique for detection of slums. The change detection analysis indicates the major changes in built-up land, vegetation, and non-cultivated land. Whereas there is a downfall of slum areas by 12.1% from 2003 to 2018. Slum growth analysis will be useful for the government to make policies for the poor to live in the slum areas.
Keywords: Landsat Imagery, Multitemporal Data, Slum, Supervised classification, Urban Change Detection.
Scope of the Article: Classification.