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Comparison of remotely sensed water stages from LiDAR,topographic contours and SRTM

机译:从LiDAR,地形轮廓和SRTM比较遥感水位

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摘要

Digital elevation models (DEMs) are at the core of most environmental process modelling and disaster management. In flood inundation modelling, surface elevation constitutes one of the most important model boundary conditions. With the availability of high-precision DEMs (e.g. LiDAR) and globally available DEMs (e.g. SRTM InSAR) a big step seems to have been taken in terms of hydraulic modelling application or hydraulic information retrieval from such DEMs, with high potential in particular for ungauged basins. Comparative studies exist that report on both the validation of different remotely sensed elevation sources and their use for both hydrologic and hydraulic studies. To contribute to the existing literature on DEMs and hydraulic information, this study aims at comparing water stages derived from LiDAR, topographic contours and SRTM. A flood inundation model calibrated with distributed ground-surveyed high water marks is used to evaluate the remotely sensed water stages. The results show that, as expected, LiDAR derived water stages exhibit the lowest RMSE (0.35 m), followed by the contour DEM (0.7 m). A relatively good performance of the SRTM (1.07 m), which is possibly linked to the low-lying floodplain, suggests that the SRTM is a valuable source for initial vital flood information extraction in large, homogeneous floodplains. Subsequent 3D flood mapping from remotely sensed water stages confirms this but also indicates that flood mapping with low-resolution, low-precision surface elevation data is hardly possible on the small scale, as the accuracy of the resulting map depends too much on DEM uncertainties and errors both in the horizontal and vertical directions.
机译:数字高程模型(DEM)是大多数环境过程建模和灾难管理的核心。在洪水淹没建模中,地表高程是最重要的模型边界条件之一。随着高精度DEM(例如LiDAR)和全球可用DEM(例如SRTM InSAR)的出现,在液压建模应用或从此类DEM检索液压信息方面似乎已经迈出了一大步,尤其是对于未密封盆地。现有比较研究报告了不同遥感高程源的验证及其在水文和水力研究中的用途。为了为有关DEM和水力信息的现有文献做出贡献,本研究旨在比较从LiDAR,地形轮廓和SRTM得出的水位。使用经分布式地面调查的高水位线校准的洪水淹没模型,用于评估遥感水位。结果表明,正如预期的那样,LiDAR派生的水位具有最低的RMSE(0.35 m),其后是轮廓DEM(0.7 m)。 SRTM(1.07 m)的相对较好的性能(可能与低洼洪泛区有关)表明,SRTM是在大型,均质洪泛区中提取重要生命洪水信息的宝贵资源。随后来自遥感水位的3D洪水地图证实了这一点,但同时也表明,在小比例尺上几乎不可能使用低分辨率,低精度的地表高程数据进行洪水地图绘制,因为最终地图的准确性很大程度上取决于DEM的不确定性和在水平和垂直方向上的误差。

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