DC 欄位 | 值 | 語言 |
dc.contributor | 土木工程學系 | en |
dc.contributor.author | Borghuis, A. M. | en_US |
dc.contributor.author | Chang, K. | en_US |
dc.contributor.author | HONG-YUAN LEE | en_US |
dc.creator | Borghuis, A. M.; Chang, K.; Lee, H. Y. | en |
dc.date | 2007-04 | - |
dc.date.accessioned | 2008-03-07T02:25:09Z | - |
dc.date.accessioned | 2018-07-09T17:14:16Z | - |
dc.date.available | 2008-03-07T02:25:09Z | - |
dc.date.available | 2018-07-09T17:14:16Z | - |
dc.date.issued | 2007-04 | - |
dc.identifier.uri | http://ntur.lib.ntu.edu.tw//handle/246246/64163 | - |
dc.description.abstract | Two large tropical cyclones struck Taiwan in the summer of 2004 and landslides
triggered by these events caused not only casualties and housing damage but also
produced large volumes of sediment that entered rivers and reservoirs. For
reservoir and watershed management it is important to quickly identify the
location and areal extent of new landslides for coordinating mitigation efforts. In
this study, two automated methods, supervised and unsupervised classification of
10m multi-spectral SPOT-5 imagery, were tested for their ability to identify and
map landslide areas before and after the two storm events. A slope map was
applied to mask roads, riverbeds and agricultural fields erroneously commissioned
as landslides. The automated classification results were compared with
manually delineated landslides using SPOT-5 supermode satellite imagery with a
resolution of 2.5 m. Statistical testing and spatial analysis of the mapping results
were performed. Finally, the results from all three methods were validated by
using 0.35m orthophotographs. This paper reports the results and discusses the
salient differences between the automated and manual methods. | en |
dc.format.extent | 561102 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language | en_US | en |
dc.language.iso | en_US | - |
dc.relation | International Journal of Remote Sensing 28 (8): 1843-1856 | en |
dc.relation.ispartof | International Journal of Remote Sensing | en_US |
dc.title | Comparison between automated and manual mapping of typhoon-triggered landslides from SPOT-5 imagery | en |
dc.type | journal article | en |
dc.identifier.doi | 10.1080/01431160600935638 | - |
dc.identifier.scopus | 2-s2.0-34547123328 | - |
dc.relation.pages | 1843-1856 | - |
dc.relation.journalvolume | 28 | - |
dc.relation.journalissue | 8 | - |
dc.identifier.uri.fulltext | http://ntur.lib.ntu.edu.tw/bitstream/246246/64163/1/Comparison between automated and manual mapping of typhoon-triggered landslides from SPOT-5 imagery.pdf | - |
item.fulltext | with fulltext | - |
item.languageiso639-1 | en_US | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.cerifentitytype | Publications | - |
item.openairetype | journal article | - |
item.grantfulltext | open | - |
crisitem.author.dept | Civil Engineering | - |
crisitem.author.parentorg | College of Engineering | - |
顯示於: | 土木工程學系
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