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首页> 外文期刊>Surveys in Geophysics: An International Review Journal of Geophysics and Planetary Sciences >Timely Low Resolution SAR Imagery To Support Floodplain Modelling: A Case Study Review
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Timely Low Resolution SAR Imagery To Support Floodplain Modelling: A Case Study Review

机译：及时的低分辨率SAR影像支持洪泛区建模：案例研究回顾

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摘要

It is widely recognised that remote sensing can support flood monitoring, modelling and management. In particular, satellites carrying Synthetic Aperture Radar (SAR) sensors are valuable as radar wavelengths can penetrate cloud cover and are insensitive to daylight. However, given the strong inverse relationship between spatial resolution and revisit time, monitoring floods from space in near real time is currently only possible through low resolution (about 100 m pixel size) SAR imagery. For instance, ENVISAT-ASAR (Advanced Synthetic Aperture Radar) in WSM (wide swath mode) revisit times are of the order of 3 days and the data can be obtained within 24 h at no (or low) cost. Hence, this type of space-borne data can be used for monitoring major floods on medium-to-large rivers. This paper aims to discuss the potential for, and uncertainties of, coarse resolution SAR imagery to monitor floods and support hydraulic modelling. The paper first describes the potential of globally and freely available space-borne data to support flood inundation modelling in near real time. Then, the uncertainty of SAR-derived flood extent maps is discussed and the need to move from deterministic binary maps (wet/dry) of flood extent to uncertain flood inundation maps is highlighted.
机译：众所周知，遥感可以支持洪水监测，建模和管理。尤其是，带有合成孔径雷达（SAR）传感器的卫星非常有价值，因为雷达波长可以穿透云层并且对日光不敏感。但是，鉴于空间分辨率与重访时间之间存在很强的反比关系，当前只有通过低分辨率（约100 m像素大小）的SAR图像，才能以近乎实时的方式监视来自太空的洪水。例如，在WSM（宽幅模式）重访时间中的ENVISAT-ASAR（高级合成孔径雷达）重访时间约为3天，可以在24小时之内以免费（或低成本）获得数据。因此，这种类型的星载数据可用于监视中大型河流的重大洪水。本文旨在讨论粗分辨率SAR图像用于监视洪水和支持水力建模的潜力和不确定性。本文首先介绍了全球可免费获得的星载数据在近实时支持洪水泛滥建模方面的潜力。然后，讨论了由SAR得出的洪水范围图的不确定性，并强调了从确定性的洪水范围二元图（湿/干）转变为不确定的洪水淹没图的必要性。

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