Development of topo-bathymetric continuum profiles for coastal barriers with global open-access data

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Valeria Fanti , Carlos Loureiro , Óscar Ferreira
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引用次数: 0

Abstract

Coastal barriers are dynamic and vulnerable coastal environments exposed to storms and rising sea levels, requiring a thorough understanding of their physical and geomorphological characteristics. Despite this, high-resolution topo-bathymetric data are not openly available for most of the world’s coastal areas, preventing accurate estimation of the exposure to storms and associated risks. Global models of topography and bathymetry, derived from remote sensing techniques, are available worldwide as an open-source solution to characterise coastal morphology. However, their coarse resolution, limited vertical and horizontal accuracy, alongside inconsistencies in the transition from land to the shallow nearshore zone, make their use in coastal areas challenging, requiring careful evaluation. This study investigates the potential and limitations of four recent open-access satellite-derived topographic models (Copernicus GLO-30 DEM, AW3D30, TanDEM-X, Euro-Maps 3D) and three bathymetric models (GEBCO_2023, SRTM15+, ETOPO 2022) in five coastal barriers. It proposes a new approach to integrate global models to provide a consistent representation of the topo-bathymetric continuum profile in coastal areas characterised by a barrier morphology. Coastal barrier profiles, representative of natural sectors and characterized by morphological homogeneity, were derived by merging global topographic and bathymetric digital elevation models and implementing an equilibrium profile in the transition zone. The profiles obtained from the global models were compared with higher resolution local or regional topo-bathymetry. The global topographies tend to underestimate the dune top, with TanDEM-X giving the best results in terms of dune crest height and beach slope. The barrier continuum profiles that merged TanDEM-x and ETOPO 2022 global models were found to have the lowest error, with a vertical RMSE of 0.76 m. Based on integration of these remotely sensed models, it is possible to determine average representative coastal barrier profiles suitable for use in global to regional coastal studies or in data-poor areas, potentially serving as a cost-effective tool for preliminary coastal hazard assessments and early warning systems at wide spatial scales.

Abstract Image

利用全球开放获取数据开发海岸屏障的地形-水深连续剖面
海岸屏障是易受风暴和海平面上升影响的动态和脆弱的沿海环境,需要对其物理和地貌特征有透彻的了解。尽管如此,世界上大多数沿海地区的高分辨率地形水深数据并不是公开的,这阻碍了对风暴暴露和相关风险的准确估计。基于遥感技术的全球地形和测深模型,作为描述海岸形态特征的开源解决方案,在世界范围内都可以使用。然而,其粗糙的分辨率,有限的垂直和水平精度,以及从陆地到浅海近岸区的过渡不一致,使其在沿海地区的使用具有挑战性,需要仔细评估。本研究探讨了最近四种开放获取卫星地形模型(Copernicus GLO-30 DEM、AW3D30、TanDEM-X、Euro-Maps 3D)和三种测深模型(GEBCO_2023、SRTM15+、ETOPO 2022)在五个海岸屏障中的潜力和局限性。它提出了一种整合全球模式的新方法,以提供以屏障形态为特征的沿海地区地形-水深连续体剖面的一致表示。通过融合全球地形和水深数字高程模型,并在过渡带实现平衡剖面,得到了具有自然分区代表性和形态同质性特征的海岸屏障剖面。将从全球模式获得的剖面与更高分辨率的局部或区域地形测深进行了比较。全球地形倾向于低估沙丘顶部,TanDEM-X在沙丘顶部高度和海滩坡度方面给出了最好的结果。合并TanDEM-x和ETOPO 2022全球模型的屏障连续谱曲线误差最小,垂直RMSE为0.76 m。在综合这些遥感模型的基础上,可以确定适合于全球到区域沿海研究或数据贫乏地区使用的平均代表性沿海屏障剖面,可能作为广泛空间尺度上初步沿海灾害评估和早期预警系统的成本效益工具。
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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