Land-cover change prediction from landsat data using markov chain analysis

C. F. Chen, G. S. Chen, N. T. Son, L. Y. Chang, C. R. Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Urbanization has brought socioeconomic benefits to people. It has also caused environmental issues such as loss of agricultural land, pollution and habitat destruction. Understanding dynamic mechanism of these changes in landscape from a spatio-temporal perspective is important for urban policy making. This study analysed the land-cover change and predicted the urban development using Landsat data in Guatemala during the three periods (1993-1994, 1996-1998, and 2000-2004). Image classification detect the land cover change. The overall accuracy were 90.95%, 96.79% and 96.28, respectively. The present study used the Markov chain method to simulate the spatial distribution of future urban growth. Prediction of urban growth was projected for 2023. The results showed that the area of urban will be increased. The methods used in this study could be extended to other regions for urbanization monitoring and landscapes planning.

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主出版物標題34th Asian Conference on Remote Sensing 2013, ACRS 2013
發行者Asian Association on Remote Sensing
頁面3040-3045
頁數6
ISBN(列印)9781629939100
出版狀態已出版 - 2013
事件34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
持續時間: 20 10月 201324 10月 2013

出版系列

名字34th Asian Conference on Remote Sensing 2013, ACRS 2013
4

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???event.eventtypes.event.conference???34th Asian Conference on Remote Sensing 2013, ACRS 2013
國家/地區Indonesia
城市Bali
期間20/10/1324/10/13

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