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Developing a Baseline Characterization of River Bathymetry and Time-Varying Height for Chindwin River in Myanmar Using SRTM and Landsat Data

机译:使用SRTM和Landsat数据在缅甸河南河河河道和时变高度的基线表征

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In this study, a method was developed for the baseline characterization of river bathymetry and time-varying heights using globally available datasets from the Shuttle Radar Topography Mission (SRTM) elevation data and Landsat visible imagery. Using independent data on river water elevations from satellite altimetry, the SRTM-Landsat approach was verified as to how well it can work for baseline characterization. The technique was demonstrated for Chindwin River locations in Myanmar that were also independently sampled by Sentinel 3A and Jason 3 altimeters. The Modified Normalized Difference Water Index (MNDWI) was used for estimating the water areas and widths using Landsat 8 from 2016 to 2019. A comparison of SRTM-Landsat with Sentinel 3A/Jason 3-based elevation changes resulted in a correlation coefficient up to 0.89 and 0.82 using area-elevation and width-elevation curves, respectively. The presence of river islands during the dry season resulted in a weaker correlation between our proposed SRTM-Landsat technique and altimeter water elevations. This case study over the Chindwin River in Myanmar demonstrated that the use of the SRTM-Landsat combined technique could yield an acceptable baseline for characterization of river bathymetry and time-varying heights at ungauged locations around the world.
机译:在这项研究中,使用来自航天雷达形状使命(SRTM)高程数据和Landsat可见图像的全球可用数据集来开发了一种用于河流浴碱和时变高度的基线表征方法。在卫星高度测量法中使用独立数据从河流水平升高,SRTM-Landsat方法被验证到基线表征的工作程度如何。该技术是在缅甸的德华河地点展示,也由Sentinel 3a和jason 3高度单位独立采样。改进的归一化差异水指数(MNDWI)用于估计2016年至2019年使用Landsat 8的水域和宽度。SRTM-Landsat与Sentinel 3A / Jason 3的高程变化的比较导致相关系数高达0.89使用面积仰角和宽度升高曲线分别为0.82。旱季期间河岛的存在导致我们所提出的SRTM-LANDSAT技术与高度计的水海拔之间的相关性较弱。在缅甸的铭文河上的这种案例研究表明,使用SRTM-LANDSAT组合技术可以获得可接受的基线,以便在世界各地的未凝固地点表征河流浴池和时变高度的可接受的基线。

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