The future of coastal monitoring through satellite remote sensing

S. Vitousek, D. Buscombe, Kilian Vos, P. Barnard, A. Ritchie, Jon, Warrick
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引用次数: 12

Abstract

Satellite remote sensing is transforming coastal science from a “data-poor” field into a “data-rich” field. Sandy beaches are dynamic landscapes that change in response to long-term pressures, short-term pulses, and anthropogenic interventions. Until recently, the rate and breadth of beach change have outpaced our ability to monitor those changes, due to the spatiotemporal limitations of our observational capacity. Over the past several decades, only a handful of beaches worldwide have been regularly monitored with accurate yet expensive in situ surveys. The long-term coastal-change data of these few well-monitored beaches have led to in-depth understanding of many site-specific coastal processes. However, because the best-monitored beaches are not representative of all beaches, much remains unknown about the processes and fate of the other >99% of unmonitored beaches worldwide. The fleet of Earth-observing satellites has enabled multiscale monitoring of beaches, for the very first time, by providing imagery with global coverage and up to daily frequency. The long-standing and ever-expanding archive of satellite imagery will enable coastal scientists to investigate coastal change at sites vulnerable to future sea-level rise, that is, (almost) everywhere. In the past decade, our capability to observe coastal change from space has grown substantially with computing and algorithmic power. Yet, further advances are needed in automating monitoring using machine learning, deep learning, and computer vision to fully leverage this massive treasure trove of data. Extensive monitoring and investigation of the causes and effects of coastal change at the requisite spatiotemporal scales will provide coastal managers with additional, valuable information to evaluate problems and solutions, addressing the potential for widespread beach loss due to accelerated sea-level rise, development, and reduced sediment supply. Monitoring from Earth-observing satellites is currently the only means of providing seamless data with high spatiotemporal resolution at the global scale of the impending impacts of climate change on coastal systems.
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通过卫星遥感进行海岸监测的未来
卫星遥感正在将沿海科学从一个“数据贫乏”的领域转变为一个“数据丰富”的领域。沙滩是动态的景观,会随着长期压力、短期脉动和人为干预而变化。直到最近,由于我们观测能力的时空限制,海滩变化的速度和广度已经超过了我们监测这些变化的能力。在过去的几十年里,世界上只有少数几个海滩进行了准确而昂贵的实地调查。这些少数几个监测良好的海滩的长期海岸变化数据导致了对许多特定地点海岸过程的深入了解。然而,由于监测最好的海滩并不能代表所有的海滩,世界上其他>99%的未监测海滩的过程和命运仍然未知。地球观测卫星编队首次提供了覆盖全球和每日频率的图像,使对海滩的多尺度监测成为可能。长期存在且不断扩大的卫星图像档案将使沿海科学家能够在易受未来海平面上升影响的地点(即(几乎)任何地方)调查沿海变化。在过去的十年里,我们从太空观察海岸变化的能力随着计算和算法的能力大大提高。然而,在使用机器学习、深度学习和计算机视觉进行自动化监控方面需要进一步的进步,以充分利用这一巨大的数据宝库。在必要的时空尺度上对海岸变化的原因和影响进行广泛的监测和调查,将为海岸管理者提供额外的、有价值的信息,以评估问题和解决方案,解决由于海平面加速上升、开发和沉积物供应减少而导致的广泛海滩损失的潜在问题。目前,地球观测卫星的监测是在全球范围内提供气候变化对沿海系统即将产生的影响的高时空分辨率无缝数据的唯一手段。
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