Ecology, Environment and Conservation Paper

Vol 28, Issue 2, 2022; Page No.(692-696)

A COMPARATIVE CHANGE DETECTION ANALYSIS USING REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM FOR COIMBATORE CITY, TAMILNADU

Varatharajaperumal Thangavel, E. Sarojini, R. Vignesh, C.B. Anagha and G. Subashini

Abstract

The Change detection Map for Geographical Information System (GIS) is a process that measures how the attributes of a particular area has been changed from past to present. It involves comparing the aerial photographs or satellite imagery of a particular area taken at different times. It is widely used to assess cultivation, forest area, urban growth, impact of natural as well as man-made disasters etc. It is possible to make a map using the data obtained by manual surveyfor a constrained area whereas, for a large area, it is quite impossible. This could be overcome possibly with the help of Remote Sensing and Geographic Information System. The attributes of the city like agricultural, Forest, Waterspread and Build up areas could be taken into account to prepare a Land Use Land Cover (LULC) Map using GIS techniques. The periodic open-source data obtained from government authorized websites for the following year 1985, 1995, 2005 and 2015. The LULC dataset are analyzed and prepared the change detection map for the Coimbatore city. The series of LULC maps so obtained are overlapped to arrive at the overall change detection analysis map for the Coimbatore city. On account of the obtained change detection analysis map, itis much easy to study about the infrastructure development, road patterns (planned/unplanned), urban growth and its directions, extent of agricultural lands and encroachment details of water bodies of the city. Using this analysis, it is possible to analyze the land deformations which the city has undergone for the pastdecades. Besides, it will be socially effective to predict the upcoming land changes in a city. Thus, it will be economic for the government to precast an area keeping in view with land deformation.