USING REMOTE SENSING SATELLITES IMAGES IN DETECTION AND PREDICATION OF LAND USE CHANGEIN JIROFT AREA S.E. IRANM.R. Mazaheri, M. Esfandiari, M. H. Masih Abadi and A. Kamali
Planning and resource utilization plays an important role in monitoring changes in land use. As a result, an effective and useful source of information is to analyze the changes through remote sensing data to detect environmental changes. This can be also used in close monitoring of processes, and appropriate management practice. Change detection is a process that allows viewing and identifying differences in temporal phenomena series, patterns, and surface conditions. Various change detection methodologies and techniques, which use remotely sensed data, have been created. Landsat TM images of the years 1987, 2000 and Landsat ETM+ image of the year 2010 were used to determine spatial and temporal land use changes in the period of 1987-2010 while the Markov chain was used to predict land use changes between 2010 and 2020 based on 2000-2010 trends. In this study, the current progress in change detection methods using multi-temporal remotely sensed imagery has been reviewed and the different methods of classification comparison were compared. The possible existing problems in the current development of multi-temporal change detection were analyzed, and the development trend is discussed. Finally, there is a brief discussion and projection of the land use changes for the next decade when the studied area envisages by achieving Vision 2020 in using Markov chain analysis.
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