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Combined use of COSMO-SkyMed derived products and hydrodynamic models to produce physically-based maps of flood extent

机译:结合使用COSMO-SkyMed衍生产品和水动力模型来生成基于物理的洪水范围图

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The availability of the data provided by present and future constellations of Synthetic Aperture Radar (SAR) sensors and the development of reliable flood mapping algorithms allows producing frequent flood maps characterized by high spatial resolution. Progresses have been also achieved in flood modeling, so that a joint use of SAR-derived and model-derived inundation maps seems to be very promising. This paper presents the major outcomes of a combined use of a multi-temporal series of COSMO-SkyMed observations and of a hydrodynamic model, accomplished within the framework of an activity aiming at the interpretation of the dynamics of the flood that hit Albania in January 2010. By calibrating the model with the COSMO-SkyMed derived maps, a number of products such as water depths, and flow directions were generated. Results show a good agreement between SAR-derived and model-derived flood extents. Moreover, the maximum water depths were found in the areas where floodwater was present for the longest period of time, according to COSMO-SkyMed observations.
机译:由合成孔径雷达(SAR)传感器的当前和未来星座提供的数据的可用性以及可靠的洪水地图算法的发展,使得可以生成具有高空间分辨率的频繁洪水地图。在洪水建模方面也取得了进展,因此,SAR衍生模型和模型衍生淹没图的联合使用似乎非常有前途。本文介绍了在一项旨在解释2010年1月袭击阿尔巴尼亚的洪水动态的活动框架内完成的,多时相系列COSMO-SkyMed观测和水动力模型的组合使用的主要成果。通过使用COSMO-SkyMed派生地图对模型进行校准,生成了许多产品,例如水深和流向。结果表明,SAR衍生洪水模型与模型衍生洪水模型之间具有良好的一致性。此外,根据COSMO-SkyMed的观察,在最长的洪水存在地区,发现了最大的水深。

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