Changing sea level, changing shorelines: integration of remote-sensing observations at the Terschelling barrier island DOI Creative Commons
Bene Aschenneller, Roelof Rietbroek, Daphne van der Wal

и другие.

Natural hazards and earth system sciences, Год журнала: 2024, Номер 24(11), С. 4145 - 4177

Опубликована: Ноя. 28, 2024

Abstract. Sea level rise is associated with increased coastal erosion and inundation. However, the effects of sea change on shoreline can be enhanced or counteracted by vertical land motion morphological processes. Therefore, knowledge about individual contributions change, morphodynamics changes necessary to make informed choices for climate adaptation, such as applying defence measures. Here, we assess potential remote-sensing techniques detect a geometrical relationship between retreat case study at Terschelling barrier island northern Dutch coast. First, find that observations from satellite radar altimetry retracked ALES represent variations 2002 2022 when region extract time series chosen carefully. Second, results cross-shore satellite-derived shorelines extracted optical images considerably, depending made tidal correction parameter settings during computation series. While absolute positions differ average more than 200 m, trend differences are below 1 m yr−1. Third, intersecting 1992 elevation time-variable level, inundation through caused −0.3 yr−1 2022. The actual movement in this period was −2.8 −3.2 yr−1, leading interpretation larger part driven morphodynamics. We conclude combination altimetry, provides valuable information influence rise, movements.

Язык: Английский

Coastal vulnerability assessment of the West African coast to flooding and erosion DOI Creative Commons
Olusegun A. Dada, Rafaël Almar, Pierre Morand

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 9, 2024

Abstract Global coastal areas are at risk due to geomorphological issues, climate change-induced sea-level rise, and increasing human population, settlements, socioeconomic activities. Here, the study examines vulnerability of West African (WA) coast using six satellite-derived geophysical variables two key parameters as indicators index (CVI). These integrated develop a CVI for WA coast. Then, regional hotspots with main that could influence how behaves can be managed identified. The results indicate 64, 17 19% had high very CVI, moderate low respectively. reveals while contribute in WA, factors, particularly population growth unsustainable development coast, play considerably larger role. Some sections more vulnerable exposed than others, those region's northwestern Gulf Guinea regions. Climate change presence may amplify these future. Hence, future economic plans should based on deep understanding local natural conditions, resource status, prevent negative ecosystem transformation. It is also essential establish management plan would facilitate desired actions stimulate sustainable areas.

Язык: Английский

Процитировано

26
Wind-wave climate changes and their impacts DOI
Mercè Casas‐Prat, Mark Hemer, Guillaume Dodet

и другие.

Nature Reviews Earth & Environment, Год журнала: 2024, Номер 5(1), С. 23 - 42

Опубликована: Янв. 9, 2024

Язык: Английский

Процитировано

22
Coastal shoreline change assessments at global scales DOI Creative Commons
Jonathan A. Warrick, Daniel Buscombe, Kilian Vos

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Март 15, 2024

Язык: Английский

Процитировано

10
Monitoring interdecadal coastal change along dissipative beaches via satellite imagery at regional scale DOI Creative Commons
Marcan Graffin, Mohsen Taherkhani, Meredith Leung

и другие.

Cambridge Prisms Coastal Futures, Год журнала: 2023, Номер 1

Опубликована: Янв. 1, 2023

Abstract Coastal morphological changes can be assessed using shoreline position observations from space. However, satellite-derived waterline (SDW) and (SDS; SDW corrected for hydrodynamic contributions outliers) detection methods are subject to several sources of uncertainty inaccuracy. We extracted high-spatiotemporal-resolution (~50 m-monthly) time series mean high water along the Columbia River Littoral Cell (CRLC), located on US Pacific Northwest coast, Landsat missions (1984–2021). examined accuracy SDS mesotidal, mildly sloping, high-energy wave climate dissipative beaches CRLC by validating them against 20 years quarterly in situ beach elevation profiles. found that heavily depends capability identify remove outliers correct biases stemming tides runup. we show only correcting data is sufficient accurately measure change trends CRLC. Ultimately, strong agreement with data, facilitating spatiotemporal analysis coastal highlighting an overall accretion signal during past four decades.

Язык: Английский

Процитировано

19
Satellite-derived sandy shoreline trends and interannual variability along the Atlantic coast of Europe DOI Creative Commons
Bruno Castelle, Etiënne Kras, Gerd Masselink

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июнь 6, 2024

Abstract Monitoring sandy shoreline evolution from years to decades is critical understand the past and predict future of our coasts. Optical satellite imagery can now infer such datasets globally, but sometimes with large uncertainties, poor spatial resolution, thus debatable outcomes. Here we validate analyse satellite-derived-shoreline positions (1984–2021) along Atlantic coast Europe using a moving-averaged approach based on coastline characteristics, indicating conservative uncertainties long-term trends around 0.4 m/year potential bias towards accretion. We show that west-facing open coasts are more prone erosion, whereas relatively closed favor accretion, although most computed fall within range uncertainty. Interannual variability influenced by regionally dominant atmospheric climate indices. Quasi-straight coastlines typically strongest alongshore-uniform links, while embayed coastlines, especially those not exposed wave climate, weaker variable correlation Our results provide continuum between previous local-scale studies, emphasizing necessity further reduce satellite-derived trend uncertainties. They also call for applications relevant averaging inclusion coastal setting parameters unravel forcing-response spectrum shorelines globally.

Язык: Английский

Процитировано

4
Characterization of Multi-Decadal Beach Changes in Cartagena Bay (Valparaíso, Chile) from Satellite Imagery DOI Creative Commons
Idania Briceño de Urbaneja, Josep E. Pardo‐Pascual, Carlos Cabezas-Rabadán

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(13), С. 2360 - 2360

Опубликована: Июнь 27, 2024

Sandy coastlines are very dynamic spaces affected by a variety of natural and human factors. In Central Chile, changes in oceanographic wave conditions, modes inter-annual climate variability such as El Niño Southern Oscillation (ENSO), extreme events earthquakes tsunamis condition the beach morphology. At same time, direct actions alter arrival sediments to coast their alongshore distribution. Despite relevance beaches for this coastal region interesting relationship morphology has with aforementioned factors, there is lack robust morphological datasets provide deep characterization understanding dynamism Chilean coast. Based on information provided satellite-derived shorelines (SDSs) defined using SHOREX algorithm, paper characterizes Playa Grande Cartagena Bay (Central Chile) during period 1985–2019. The shoreline position data analyzed context changing transforming elements, allowing better according multiple drivers. While some these or storms, have punctual character, patterns vary at different time scales, from seasonal multi-annual, linked phases ENSO. Its effects translated into erosion accretion conditioned orientation while influenced availability sediment system. According that, conceptual model redistribution proposed. work proves high utility that systematic analysis multi-decadal SDS obtained images acquired optical Landsat Sentinel-2 offer monitoring dynamism.

Язык: Английский

Процитировано

4
Advances in Remote Sensing and Deep Learning in Coastal Boundary Extraction for Erosion Monitoring DOI Creative Commons
Marc-André Blais, Moulay A. Akhloufi

Geomatics, Год журнала: 2025, Номер 5(1), С. 9 - 9

Опубликована: Фев. 6, 2025

Erosion is a critical geological process that degrades soil and poses significant risks to human settlements natural habitats. As climate change intensifies, effective coastal erosion management prevention have become essential for our society the health of planet. Given vast extent areas, efforts must prioritize most vulnerable regions. Identifying prioritizing these areas complex task requires accurate monitoring forecasting its potential impacts. Various tools techniques been proposed assess risks, impacts rates erosion. Specialized methods, such as Coastal Vulnerability Index, specifically designed evaluate susceptibility boundaries, factor in monitoring, are typically extracted from remote sensing images. Due extensive scale complexity data, manually extracting boundaries challenging. Recently, artificial intelligence, particularly deep learning, has emerged promising tool this task. This review provides an in-depth analysis learning assist monitoring. imaging modalities (optical, thermal, radar), platforms (satellites, drones) datasets first presented provide context field. Artificial intelligence associated metrics then discussed, followed by exploration algorithms boundaries. The range basic convolutional networks encoder–decoder architectures attention mechanisms. An overview how other can be utilized also provided. Finally, current gaps, limitations future directions field identified. aims offer insights into through learning-based boundary extraction.

Язык: Английский

Процитировано

0
Positive correlation between the Po River discharge and ocean colour trends of Chl and TSM in the Adriatic Sea DOI Creative Commons
Iacopo Vona, Simone Colella, Michela Sammartino

и другие.

Frontiers in Remote Sensing, Год журнала: 2025, Номер 6

Опубликована: Апрель 10, 2025

Coastal areas represent delicate and complex environments due to the interconnection between land sea, where marine, fluvial anthropogenic stressors combine threatening undermining coastal health. Sea level rise increasing storminess, for instance, lead more frequent flooding habitat loss erosion; sediment supply by rivers, on other hand, helps balance restore loss. However, excessive riverine nutrient inputs may eutrophication phenomena, putting ecosystem as well communities at serious risk. Here, we compute high resolution (300 m) Chlorophyll-a (Chl) Total Suspended Matter (TSM, a proxy concentration) trends over Adriatic using single sensors MERIS (from 2003 2012) OLCI 2017–2024) data, study response of marine human and/or environmental pressures, thus detecting likely subject starvation. Such an analysis is complemented Po River discharge data investigate role river outputs in shaping observed within basin. Our results reveal Chl TSM northern part basin being positively correlated with during investigated period, both data. Increases/decreases outflow resulted positive/negative trends. Although negative trend was documented last 25 years, load fluctuations regulate long- short-term, local North This result suggests direct relationship existing statistical delta areas.

Язык: Английский

Процитировано

0
Equilibrium shoreline change model with non-stationary free parameters at Hasaki Beach, Japan DOI Creative Commons

Xinyu Chen,

Masayuki Banno, Nobuhito Mori

и другие.

Coastal Engineering, Год журнала: 2025, Номер unknown, С. 104761 - 104761

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Vulnerability context due to COVID-19 and El Nino: Case study of poultry farming in South Sulawesi, Indonesia DOI Creative Commons
Rusni Fitri Y. Rusman, Darmawan Salman, Abdul Munir

и другие.

Open Agriculture, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Abstract The poultry industry has faced two significant challenges in the last 4 years: coronavirus disease (COVID-19) pandemic and El Niño drought, which pose business risk. This study aims to fill this knowledge gap by conducting a comparative analysis of vulnerability farms COVID-19 events identifying potential mitigation strategies reduce their impacts. was conducted using qualitative approach case methodology on different types farms: broiler layer. Data were collected through semi-structured in-depth interviews, observations, document analyses 36 farmers agri-food companies. results showed that both more vulnerable during than drought period. However, based farm characteristics, layer independent systems contract systems. resulted several economic vulnerabilities, including fluctuations prices feed products, reduction labor, reallocation investment funds. In contrast, droughts challenges, scarcity need develop breeds can withstand extreme weather conditions. Different are recommended for these facing disasters: new disaster due current decades-old climate change disasters, such as drought. Developing specific improving reserve funds market strategies, government-provided financial assistance, biosecurity measures, strengthening relationships with companies, family diversifying sources, adopting climate-resilient housing, provide practical solutions enhance resilience future crises.

Язык: Английский

Процитировано

0