Abstract
This study aims to analyze land use patterns using time-series satellite images of Seoul Metropolitan Area for the past 30 years, and present a macroscopic model for predicting future land use patterns using Markov Chain based probability model, and finally examine its applicability to Korea. Several Landsat MSS and TM images were used to acquire land-use change patterns and dynamic land-use change patterns were categorized from the classified images. Finally, spatio-temporal transition matrices were constructed from the classified images and applied them into a Markov Chain based model to predict land-use changes for the study area.
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Joo, Y., Jun, C., Park, S. (2010). Design of a Dynamic Land-Use Change Probability Model Using Spatio-Temporal Transition Matrix. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12156-2_8
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DOI: https://doi.org/10.1007/978-3-642-12156-2_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12155-5
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