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Coastal morphology from space: A showcase of monitoring the topography-bathymetry continuum
Remote Sensing of Environment ( IF 11.1 ) Pub Date : 2021-05-01 , DOI: 10.1016/j.rse.2021.112469
Erwin W.J. Bergsma , Rafael Almar , Amandine Rolland , Renaud Binet , Katherine L. Brodie , A. Spicer Bak

With a large part of the world's population residing in coastal areas, and largely depending on the coastal environment, monitoring natural and human-induced coastal changes are paramount to understand the dynamic and vulnerability of these coastal systems/communities. To understand changes in coastal areas, e.g. environmental and social resilience to environmental change, local measurements are inadequate. Such large-scale issues can only be addressed with perhaps less accurate but large scale measurements from space. Considering vulnerability or exposure to coastal flooding, both the bathymetry (underwater) and topography (above water) are vital boundary conditions to understand and accurately estimate impacts on short (storms) and long (inter-seasonal) time-scales. In this work, we estimate the coastal bathymetry and topography with the optical VENμS satellite for every single overpass at the Field Research Facility of the US Army Corps of Engineers at Duck, NC. The experimental VENμS satellite enables estimation of the topography and bathymetry by two repetitive identical images with a small time-lag. This capability proofs to result in topographies with a few meters accuracy and the bathymetry estimation is at best a few decimetres accurate. As a base for future Earth Observation missions such as Landsat or Sentinel 2, VENμS shows that higher resolution imagery (5 m), repetitive bands and a revisit time of only 2 days, enables unprecedented land/sea monitoring.



中文翻译:

来自太空的海岸形态:监视地形-测深连续体的展示

由于世界上很大一部分人口居住在沿海地区,并且在很大程度上取决于沿海环境,因此监测自然和人为引起的沿海变化对于了解这些沿海系统/社区的动态和脆弱性至关重要。为了了解沿海地区的变化,例如环境和社会对环境变化的适应力,当地的测量方法是不够的。这样的大规模问题只能通过精度较低,但从太空进行的大规模测量来解决。考虑到脆弱性或沿海洪灾的暴露程度,测深法(水下)和地形(水上)都是了解和准确估计对短(暴风雨)和长(跨季节)时间尺度的影响的重要边界条件。在这项工作中,我们在北卡罗来纳州达克市的美国陆军工程兵团野外研究设施中,使用光学VENμS卫星估算了每一个立交桥的沿海测深和地形。实验性VENμS卫星可以通过两个重复的相同图像(具有较小的时滞)来估计地形和水深。这种能力证明可以使地形具有几米的精度,而测深法的充其量最多也只有几分之十的精度。作为诸如Landsat或Sentinel 2等未来地球观测任务的基础,VENμS显示出更高分辨率的图像(5 m),重复的波段以及仅2天的重新访问时间,实现了前所未有的陆地/海洋监视。实验性VENμS卫星可以通过两个重复的相同图像(具有较小的时滞)来估计地形和水深。这种能力证明可以使地形具有几米的精度,而测深法的充其量最多也只有几分之十的精度。作为诸如Landsat或Sentinel 2等未来地球观测任务的基础,VENμS显示出更高分辨率的图像(5 m),重复的波段以及仅2天的重新访问时间,实现了前所未有的陆地/海洋监视。实验性VENμS卫星可以通过两个重复的相同图像(具有较小的时滞)来估计地形和水深。这种能力证明可以产生几米的精度的地形,而测深法的充其量最多也可以达到几分米的精度。作为诸如Landsat或Sentinel 2等未来地球观测任务的基础,VENμS显示出更高分辨率的图像(5 m),重复的波段以及仅2天的重新访问时间,实现了前所未有的陆地/海洋监视。

更新日期:2021-05-02
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