Evaluation of techniques for detecting land use changes using satellite images and GIS (Case Study: Kermanshah city)
Subject Areas : Urban and Regional Planning Studies
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Keywords: Change detection, urban land use, Principal component analysis, Tasscap transformation, Fuzzy neural network, Kermanshah City,
Abstract :
Introduction: Today, urban sprawl and population growth in them is due to migration of people looking to find a better life as one of the main concerns of urban managers. At present, Kermanshah city is the largest city in western Iran and due to its strategic position is following fast growing trend. Remote sensing and satellite images are very useful tools for studying land use changes in different periods.
Research aim: The aim of this study is to examine the changes of land use in the city of Karmanshah during the period 1996 to 2021.
Methodology: In this study, Landsat satellite images of 1996 and 2021 were prepared, and then geometric and radiometric corrections were carried out on them. Then, various change detection techniques such as principal component analysis, tasscap transformation (greenness, lightness), and normalized difference vegetation index (NDVI) and also with use of fuzzy neural network supervised classification method, land cover maps in both periods were prepared.
Studied Areas: The geographical territory of this research is Kermanshah city
Results :The results showed that among the main components, the PCA2 index shows well increasing and decreasing changes and among tasscap components, greenness index shows well decreasing and no-change changes, while that the moisture index were displayed increasing land use changes with high precision. Also, the accuracy and result of NDVI is very close to the greenness index.
Conclusion: The results of the study showed an annual increase rate of urban areas of 109/6 hectares in the year which the greatest decrease was in agricultural and barren lands
Results :The results showed that among the main components, the PCA2 index shows well increasing and decreasing changes and among tasscap components, greenness index shows well decreasing and no-change changes, while that the moisture index were displayed increasing land use changes with high precision. Also, the accuracy and result of NDVI is very close to the greenness index.
Conclusion: The results of the study showed an annual increase rate of urban areas of 109/6 hectares in the year which the greatest decrease was in agricultural and barren lands
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