Application of Remote Sensing and image Processing for Efficient Urban Planning in India

Abstract

This paper focuses upon Analysis of Images containing Remote Sensed Data with integration of Spatial, Temporal and Spectral Feature of object in the field of satellite image processing. We utilizes remote sensed data of multi-spectral nature to extract spectral signature related to several objects of different areas to be used in land cover classification, utilization of land changes with respect to time and performing temporal analysis for analyzing climate impact on surface. Some of the band combination related to data through remote sensing is very effective for land cover classification. Spatial distributions related to land cover like: water resources, agriculture land and urban area may easily be interpret.In India pressure of population upon agricultural land becomes higher now. Fertile agriculture lands are more suitable for agriculture apart from non agriculture utilizations. Horizontal expansion, hence, is not the ultimate solution for growing demand for land to be utilized for urban purpose. As cities have primarily horizontal growth, which affects agricultural activities prospects, due to huge agricultural land is used in non agricultural activities. After a limit, it is very difficult to arrange basic amenities for the cities if horizontal growth continued. New Researches preferred the vertical expansion over horizontal expansion as one of the important tool for planning of urban areas. The Situation is different from the cities in developed west as vertical expansion, regarding the cities of roughly size equivalent to Bareilly, provides solution for requirements of land as demand is increasing. Hence we can save the land utilized in agriculture. Vertical expansion has potential to provide basic facilities for the population as the cost is reduced for these services. Hence, Government should promote the vertical expansion instead of horizontal expansion at least at present.