期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：217-222
出版社：Copernicus Publications
摘要：SAR images of river inundation prove to be very relevant for operational .ood management. However, common exploitation of satellite images of .oods is generally restricted to a .ood extent extraction. The usefulness of these images could be significantly improved by providing a hydraulic-coherent 3-dimensional (3D) characterization of .oods and by integrating these Remote Sensing-Derived (RSD) spatial characteristics of .oods in hydraulic models in order to render .ood inundation forecasts more reliable and accurate. This study aims at developing SAR image analysis methods that go beyond .ood extent mapping in order to demonstrate the potential of these images in the spatio-temporal characterization of .ood events. To fulfill this objective, two research issues were addressed. The first issue relates to water level estimation. Applied to an ENVISAT image of an Alzette River .ood (2003, G rand-Duchy of Luxembourg), the developed method provides ± 54 cm average vertical uncertainty water levels, that were validated with ground surveyed high water marks. The second issue aims at evaluating how far RSD .ood characteristics could allow a better constraining of hydraulic models. To achieve this goal, various calibration scenarii using only recorded hydrographs or recorded hydrographs and RSD .ood characteristics are computed. These scenarii show that the integration of the RSD characteristics leads to better constrain the model (i.e. the number of parameter sets providing acceptable results with respect to observations is reduced) and render it more reliable, even in the case of quite rather abundant ground observed data
关键词：Floods; SAR Imagery; Cartography; Distributed; Modeling; Calibration; U ncertainties
