DOI: 10.1016/j.jag.2015.11.005
Scopus记录号: 2-s2.0-85036671098
论文题名: Earth observation data based rapid flood-extent modelling for tsunami-devastated coastal areas
作者: Hese S ; , Heyer T
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 46 起始页码: 63
结束页码: 83
语种: 英语
英文关键词: Coast
; Coastal areas
; Cost function
; Data Fusion
; Disaster
; Flood mapping
; Floods
; Multispectral
; Rapid mapping
; RapidEye
; Tsunami
Scopus关键词: accuracy assessment
; ASTER
; coastal zone
; data set
; digital elevation model
; flooding
; hydrological modeling
; image resolution
; multispectral image
; RapidEye
; satellite data
; surface roughness
; Tohoku earthquake 2011
; tsunami
; Japan
英文摘要: Earth observation (EO)-based mapping and analysis of natural hazards plays a critical role in various aspects of post-disaster aid management. Spatial very high-resolution Earth observation data provide important information for managing post-tsunami activities on devastated land and monitoring re-cultivation and reconstruction. The automatic and fast use of high-resolution EO data for rapid mapping is, however, complicated by high spectral variability in densely populated urban areas and unpredictable textural and spectral land-surface changes. The present paper presents the results of the SENDAI project, which developed an automatic post-tsunami flood-extent modelling concept using RapidEye multispectral satellite data and ASTER Global Digital Elevation Model Version 2 (GDEM V2) data of the eastern coast of Japan (captured after the Tohoku earthquake). In this paper, the authors developed both a bathtub-modelling approach and a cost-distance approach, and integrated the roughness parameters of different land-use types to increase the accuracy of flood-extent modelling. Overall, the accuracy of the developed models reached 87–92%, depending on the analysed test site. The flood-modelling approach was explained and results were compared with published approaches. We came to the conclusion that the cost-factor-based approach reaches accuracy comparable to published results from hydrological modelling. However the proposed cost-factor approach is based on a much simpler dataset, which is available globally. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80134
Appears in Collections: 气候变化事实与影响
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作者单位: Friedrich-Schiller-University Jena, Institute of Geography, Earth Observation, Grietgasse 6, Jena, Germany
Recommended Citation:
Hese S,, Heyer T. Earth observation data based rapid flood-extent modelling for tsunami-devastated coastal areas[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,46