Riparian Zone DEM Generation From Time-Series Sentinel-1 and Corresponding Water Level: A Novel Waterline Method
Riparian Zone DEM Generation From Time-Series Sentinel-1 and Corresponding Water Level: A Novel Waterline Method
复制标题
由时间序列Sentinel-1和相应水位生成河岸带DEM：一种新的水线方法
DOI：
10.1109/tgrs.2022.3170342
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发表时间：
2022
影响因子：
8.2
通讯作者：
Jianbo Tan;Mingqiang Chen;Xingyao Xie;C. Zhang;Beiping Mao;G. Lei;Bo Wang;Xiabing Meng;X. Guan;Yunfei Zhang
中科院分区：
文献类型：
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作者：
Jianbo Tan;Mingqiang Chen;Xingyao Xie;C. Zhang;Beiping Mao;G. Lei;Bo Wang;Xiabing Meng;X. Guan;Yunfei Zhang
地形数据对于土地管理、水文学和地球科学应用至关重要。河岸带的地形随时间而变化。现有的全球数字高程模型（GDEM）不能满足河岸地区的水文和环境建模要求。在这项研究中，提出了一种新的水线方法来获取河岸带的数字高程模型（DEM）。使用合成孔径雷达（SAR）图像来提取水线，并应用相应的水位来获取高程。考虑不平坦的水面来获取水线高程，并使用航天飞机雷达地形任务（SRTM）DEM对没有水线的像素高程进行插值。在三峡水库和洞庭湖河岸带应用该方法，验证其可行性。使用三年内超过80张不同水位的Sentinel-1 SAR图像来检测水线。根据水文站相应水位，通过反距离加权法获取水线高程。从原始 SRTM DEM 导出的距离图层和坡度用于对水线之间的像素高程进行插值。将所提出方法生成的 DEM 与 2017 年导出的 DEM、SRTM DEM、不包括不均匀效应的 DEM 以及冰、云和陆地高程卫星 -2 (ICESat-2) ATL08 进行比较。该方法的良好性能意味着其在揭示河岸带地形方面的高效率。
Topography data are essential for land management, hydrology, and earth science applications. The topography in a riparian zone varies with time. Available global digital elevation models (GDEMs) do not satisfy the hydrological and environmental modeling requirements for riparian zones. In this study, a novel waterline method was proposed to acquire the digital elevation model (DEM) of riparian zones. Synthetic aperture radar (SAR) images are used to extract waterlines and corresponding water level is applied to acquire the elevation. The uneven water surfaces are considered to acquire the elevation of waterlines and Shuttle Radar Topography Mission (SRTM) DEM is used to interpolate the elevation of pixels without waterlines. The proposed method is applied in the riparian zone of Three Gorges Reservoir and Dongting Lake to test its feasibility. More than 80 Sentinel-1 SAR images at different water levels within three years are used to detect waterlines. Based on corresponding water level of hydrological stations, the elevation of waterlines are acquired via inverse distance weighting method. The distance layer and slope derived from the original SRTM DEM are used to interpolate the elevation of pixels between waterlines. The DEM generated by the proposed method is compared against the DEM derived in 2017, SRTM DEM, the DEM which does not include the uneven effects, and Ice, Cloud and land Elevation Satellite -2 (ICESat-2) ATL08. The good performance of the proposed method implies its high efficiency in revealing riparian zone topography.