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CHANGE DETECTION ANALYSIS USING REMOTE SENSING TECHNIQUES Change in Urban area from 1992 to 2001 in COIMBATORE, INDIA. FNRM 5262 FINAL PROJECT PRESENTATION – SHOUMITH JEYAKUMAR
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PROJECT GOAL: To use Remote Sensing techniques to study Land Use change. To perform Classification and Change Detection on Satellite Images. Specifically, to identify the change in Urban land use class for the city of Coimbatore, India.
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STUDY AREA The area of focus – Coimbatore, India. Also called the Manchester of the south. Population: 1. 1991 – 1,100,746 2. 2001 – 1,461,139 3. 2011 – 2,136,916 [ Source: http://www.citypopulation.de/India-TamilNadu.html ] Textile, industrial, commercial, educational, information technology, healthcare and manufacturing hub of Tamil Nadu.
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STUDY AREA
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PROCEDURE FOLLOWED Obtaining the imagery. Subset. Classification. Recoding. Change Detection. Summary report.
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OBTAINING THE IMAGERY Images used: obtained from the USGS Website. Land sat 4-5 TM 1992 and Land sat 7 ETM+ images for 2001. Downloaded using the earth explorer option of USGS. The dates :14 th Jan 1992 and 14 th Jan 2001. The path and row number - 144 and 52. Image processed in ERDAS Imagine.
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OBTAINING THE IMAGERY
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SUBSET Bands 3, 2 and 1 from the Multi Spectral Imagery were set to the colours, red, green and blue respectively. Subset tool is found at - Raster – Subset and Chip – Create subset image. Images were placed in 2 2D viewers side to side and the viewers were linked. Coordinates of the bounding box surrounding the area of interest was given.
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SUBSET
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CLASSIFICATION Method Chosen – Unsupervised Classification. Raster – Classification – Unsupervised Classification. Lack of proper knowledge of the area – Training pixels could not be created – Hence Supervised classification was not done. Number of Classes specified - 20. Number of iterations – 25.
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CLASSIFICATION
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RECODING Process of reclassification of the classes. Classes with similar characteristics are combined by the user and given a new code. Required Classes – Urban & Non – Urban. Non – Urban classes were given the value 0. Urban classes were given the value 1.
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RECODING
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Defined as the process to identify the change that occurred in a specific area over a span of time. Post Classification Comparison method was used. Reason - Images were already classified before performing Change detection. An image showing pixels that changed between the images taken at the two time periods is produced as a result. CHANGE DETECTION
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SUMMARY REPORT Summary report of the matrix – Zone wise summary showing count of changed pixels, Percentage of pixels changed, Area of the changed pixels.
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RESULT & DISCUSSION
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Number of pixels that has changed from one class to another – The change from the non-urban class to the urban class - 3.71 hectares. Possible to visually interpret that there is more densification of the urban class pixels within the same area when compared to any expansion of the urban cluster.
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SOURCES http://earthexplorer.usgs.gov/ – Used to obtain Landsat imagery. http://earthexplorer.usgs.gov/ www.maps.google.com – Used to obtain the map for the study area. www.maps.google.com www.wikipedia.com – Used to obtain general information about the city. www.wikipedia.com http://www.citypopulation.de/India-TamilNadu.html - Obtained population information. http://www.citypopulation.de/India-TamilNadu.html ERDAS Imagine Help – Used to figure out how to use the tools within the software.
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THANK YOU!
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