Name
Title | ||
|---|---|---|
Design of a dynamic land-use change probability model using spatio-temporal transition matrix |
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-12156-2_8 | ICCSA (1) |
Keywords | Field | DocType |
study area,classified image,land-use change pattern,spatio-temporal transition matrix,land use pattern,future land use pattern,probability model,macroscopic model,land-use change,dynamic land-use change pattern,markov chain,dynamic land-use change probability,land use change,transition matrix,time series | Data mining,Mathematical optimization,Satellite,Probability model,Stochastic matrix,Computer science,Matrix (mathematics),Land use, land-use change and forestry,Markov chain,Metropolitan area,Land use | Conference |
Volume | ISSN | ISBN |
6016 | 0302-9743 | 3-642-12155-1 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongjin Joo | 1 | 0 | 0.34 |
| Chulmin Jun | 2 | 6 | 3.27 |
| Soohong Park | 3 | 72 | 22.26 |