Design of a dynamic land-use change probability model using spatio-temporal transition matrix
作者： Yongjin Joo , Chulmin Jun , Soohong Park
DOI: 10.1007/978-3-642-12156-2_8
关键词: Land use, land-use change and forestry 、 Markov chain 、 Stochastic matrix 、 Probability model 、 Land use 、 Computer science 、 Metropolitan area 、 Remote sensing
摘要: 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 predicting future Markov Chain based probability model, finally examine its applicability Korea. Several Landsat MSS TM were used acquire land-use change dynamic categorized from classified images. Finally, spatio-temporal transition matrices constructed applied them into predict changes area.
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