Mapping and Maintenance of Slum Areas using Geospatial Technology – A case study Indira Nagar, Ponmalai Region, Tiuchirappalli Dt., Tamil Nadu, India.
Madhavan Dhanabalan, Centre for Remote Sensing, Bharathidasan University, Trichy.
Manuscript received on October 02, 2018. | Revised Manuscript received on October 15, 2018. | Manuscript published on October 30, 2018. | PP: 12-21 | Volume-5 Issue-10, October 2018. | Retrieval Number: J12691051018
Open Access | Ethics and Policies | Cite
© The Authors. Published By: 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: Generally, Urbanization in developing countries like India has been characterized by a growing concentration of population within the existing urban centers. Such a concentration, which is most evident in metropolitan cities, has exerted a stress on urban infrastructure and services, leading to a degradation of physical environment and deterioration in the quality of life of residents. The acute problem of slum formation is found not only in the big cities but also in medium and small cities and towns “A slum is a contiguous settlement where the inhabitants are characterized as having inadequate housing and basic services”-. Because of the high, proportion of slum dwellers among the urban population, the problems of urban poverty areas are of particular concern. In most of the municipal areas proper up-to-date maps of slums along with proper database and genesis of its growth are not available which create problem in developmental process. We need resources for all our personal needs and development. The art of Geomatics technology has been the proven technology in mapping slum all assessment and also the temporal changes in the resources and environment, both due to various morphotechtonic and morph dynamic process. The phenomenal revolution in computer technology has provided such capabilities.
Keywords: Slum, Spatial and Non Spatial, Urban Planning, Geospatial Technology, High Resolution Image.