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• Main Authors: Guan-Sheng, CHEN, 陳冠升
• Other Authors: Chi-Farn, CHEN
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/89195404833711192242

碩士 === 國立中央大學 === 遙測科技碩士學位學程 === 102 === Remote sensing provides of spatio-temporal information that can successfully observe the land-cover change. It replaces traditional implementation using the ground survey data. It is costly and time-consuming. Land cover change has been seen as a transformation of natural environment. In addition, urbanization has also become a global major issue in recent years. The phenomenon of urbanization includes society, economic development, culture, art, and environmental impact. The land cover change is exceedingly complex, however the urban policy makers sometimes only consider factors such as population and socioeconomic status. The results usually are Hard Decision or Linear Prediction. Many correlation studies start to use other statistical models on domestic and international research. However, statistical models aim at the prediction of the future development probability that has a proactive vision. After the 20th century, people developed a dynamic algorithm to simulate the land cover change. The main objective of this study demonstrates to use spatio-temporal data of remote sensing (RS) imagery in combination with statistical model and science theory to create the dynamic simulation model in urban development and prediction.