DOI: 10.1016/j.jag.2016.12.003
Scopus记录号: 2-s2.0-85014859143
论文题名: Probabilistic mapping of flood-induced backscatter changes in SAR time series
作者: Schlaffer S ; , Chini M ; , Giustarini L ; , Matgen P
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 56 起始页码: 77
结束页码: 87
语种: 英语
英文关键词: ASAR Wide Swath mode
; Bayes’ theorem
; Change detection
; Floods
; Reliability diagram
; Time series analysis
Scopus关键词: backscatter
; Bayesian analysis
; detection method
; flood
; mapping method
; probability density function
; synthetic aperture radar
; time series analysis
; Severn River [United Kingdom]
; United Kingdom
英文摘要: The information content of flood extent maps can be increased considerably by including information on the uncertainty of the flood area delineation. This additional information can be of benefit in flood forecasting and monitoring. Furthermore, flood probability maps can be converted to binary maps showing flooded and non-flooded areas by applying a threshold probability value pF = 0.5. In this study, a probabilistic change detection approach for flood mapping based on synthetic aperture radar (SAR) time series is proposed. For this purpose, conditional probability density functions (PDFs) for land and open water surfaces were estimated from ENVISAT ASAR Wide Swath (WS) time series containing >600 images using a reference mask of permanent water bodies. A pixel-wise harmonic model was used to account for seasonality in backscatter from land areas caused by soil moisture and vegetation dynamics. The approach was evaluated for a large-scale flood event along the River Severn, United Kingdom. The retrieved flood probability maps were compared to a reference flood mask derived from high-resolution aerial imagery by means of reliability diagrams. The obtained performance measures indicate both high reliability and confidence although there was a slight under-estimation of the flood extent, which may in part be attributed to topographically induced radar shadows along the edges of the floodplain. Furthermore, the results highlight the importance of local incidence angle for the separability between flooded and non-flooded areas as specular reflection properties of open water surfaces increase with a more oblique viewing geometry. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79985
Appears in Collections: 气候变化事实与影响
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作者单位: Vienna University of Technology, Karlsplatz 13, Vienna, Austria; Luxembourg Institute of Science and Technology, 5, avenue des Hauts-FourneauxEsch-sur-Alzette, Luxembourg
Recommended Citation:
Schlaffer S,, Chini M,, Giustarini L,et al. Probabilistic mapping of flood-induced backscatter changes in SAR time series[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,56