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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65875

    Title: 衛星影像應用於都市發展趨勢之研究
    Authors: 陳冠升;Guan-Sheng,CHEN
    Contributors: 遙測科技碩士學位學程
    Keywords: 都市發展;衛星影像;土地使用變遷;細胞自動機;Urban Development;Remote Sensing Imagery;Land cover change;Cellular Automata
    Date: 2014-08-27
    Issue Date: 2014-10-15 17:16:20 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 遙測(Remote Sensing, RS)資訊的出現,提供人們大量的時序影像資料,其周期性觀察地表所提供的資訊,有助於掌握土地變遷及變化,取代以往若人工探勘所需耗費之時間。
    綜合上述,本研究利用衛星影像所提供之時序資料為底,並透過統計分析模型結合科學理論模式,創建一套動態模擬模式,預測未來地表變化趨勢,來探討未來都市發展狀況。;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.
    Appears in Collections:[遙測科技碩士學位學程] 博碩士論文

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