Prediction of urban land use evolution using temporal remote sensing data analysis and a spatial logistic model
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員
替代計量分析
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其它資訊
摘要Urban land use systems are complex systems with components, factors and agents from natural, environmental, social and economic systems. In this paper, we developed a remote sensing and GIS-based integrated approach to modeling and predicting spatially-explicit urban land use changes. The model was built using temporal remote sensing data land use analysis coupled with a Markov model and a spatial multinomial logistic regression framework. Experiments were performed in the Shenzhen Special Zone to substantiate the accuracy of the proposed method. We show that integration of a Markov model and a spatial logistic model is an effective method to describe urban land use evolution and meet the needs of land use early warning and annual land supply planning. © 2010 IEEE.
著者Li H., Huang X., Huang B., Ping L.
會議名稱2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
會議開始日25.07.2010
會議完結日30.07.2010
會議地點Honolulu, HI
會議國家/地區美國
詳細描述organized by IEEE International ,
出版年份2010
月份12
日期1
頁次2751 - 2753
國際標準書號9781424495658
國際標準期刊號2153-6996
語言英式英語
關鍵詞Land use evolution, Markov model, Spatial multinomial logistic regression

上次更新時間 2020-22-11 於 01:50