globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2017.07.016
Scopus记录号: 2-s2.0-85032464502
论文题名:
Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints
作者: Mondini A; C; , Chang K; -T; , Chiang S; -H; , Schlögel R; , Notarnicola C; , Saito H
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 63
起始页码: 112
结束页码: 121
语种: 英语
英文关键词: Image analysis ; Systematic event landslide mapping ; Uncertainty estimation
Scopus关键词: basin analysis ; geological mapping ; image analysis ; land cover ; landslide ; Monte Carlo analysis ; satellite imagery ; uncertainty analysis ; Taiwan
英文摘要: We propose a framework to systematically generate event landslide inventory maps from satellite images in southern Taiwan, where landslides are frequent and abundant. The spectral information is used to assess the pixel land cover class membership probability through a Maximum Likelihood classifier trained with randomly generated synthetic land cover spectral fingerprints, which are obtained from an independent training images dataset. Pixels are classified as landslides when the calculated landslide class membership probability, weighted by a susceptibility model, is higher than membership probabilities of other classes. We generated synthetic fingerprints from two FORMOSAT-2 images acquired in 2009 and tested the procedure on two other images, one in 2005 and the other in 2009. We also obtained two landslide maps through manual interpretation. The agreement between the two sets of inventories is given by the Cohen's k coefficients of 0.62 and 0.64, respectively. This procedure can now classify a new FORMOSAT-2 image automatically facilitating the production of landslide inventory maps. © 2017 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79996
Appears in Collections:气候变化事实与影响

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作者单位: Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche, Perugia, Italy; Department of Geography, National Taiwan University, Taipei, Taiwan; Centre for Space and Remote Sensing Research, National Central University, Taoyuan, Taiwan; EURAC Research, Institute for Applied Remote Sensing, Bolzano, Italy; College of Economics, Kanto Gakuin University, Yokohama, Japan

Recommended Citation:
Mondini A,C,, Chang K,et al. Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,63
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