CIM3-Livros (ou partes, com ou sem arbitragem científica)
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Percorrer CIM3-Livros (ou partes, com ou sem arbitragem científica) por Objetivos de Desenvolvimento Sustentável (ODS) "09:Indústria, Inovação e Infraestruturas"
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- Coastal dynamics in the Black Sea observed from optical and SAR satellite imagesPublication . Jiang, Dalin; Marino, Armando; Ionescu, Maria; Gvilava, Mamuka; Savaneli, Zura; Loureiro, Carlos; Spyrakos, Evangelos; Tyler, Andrew; Stanica, AdrianThis paper presents an overview of the approach developed to detect coastal dynamics by combining Synthetic Aperture Rader (SAR) and optical images. The method was developed with Sentinel-1 SAR and Sentinel-2 MSI images with a spatial resolution of 20 m, to detect the coastline changes in the Black Sea between 2016 and 2023. When compared with in situ measurements, the results showed that our approach provides reliable results with the rate of coastline change having a root mean square error of 1.73 m/year. In the Black Sea, around half the coastline changes are a result of natural process, and around 35% associated with coastal engineering. Natural coastline changes were mainly observed in deltaic areas, such as the Danube Delta. 91% of the artificial changes were found in the southern Black Sea coast on the Turkish coastline, and are a result of airport and harbour construction, and land reclamation activity. The results of this study can provide information on interventions that support the sustainable coastal zone management.
- Sensing short-term adaptive cycles in mesotidal energetic beaches from satellite imageryPublication . Costas, Susana; Santos, Jacqueline; Doherty, Yarran; Splinter, Kristen D.; Serrão Bon de Sousa, Maria Luísa; Kombiadou, Katerina; Plomaritis, Theocharis; Taborda, RuiThe rapid development of approaches to automatically detect and extract shorelines from satellite imagery is revolutionizing the way we study coastal systems, offering deeper insights into their dynamic responses and adaptive capacities. This study evaluates the performance of the CoastSat toolkit in detect-ing shoreline retreat and recovery at Praia de Faro beach, South Portugal, following storm Emma in March 2018. The mesotidal, low-tide-terrace beach experienced significant erosion, with an average retreat of 20 m. PlanetScope imagery is used to assess shoreline detection accuracy, due to its higher temporal coverage com-pared to other open-access satellite constellations. This includes understanding the correspondence between the detected waterline and two water levels: the tide level and the instantaneous water level (combined effect of wave runup and tide). Linear water level corrections are applied to horizontally translate the detected water levels to a reference elevation that enables temporal comparisons. Results suggest that beach morphology strongly influences optimal correction approaches due to the type of beach response to storms, such as profile rotation. Under non-storm conditions, detected waterlines generally represent astronomic tide levels. While tide-level-based corrections improve accuracy during storms, runup-based corrections consistently outperform under non-storm conditions. Consequently, applying corrections that account for slope changes, runup levels during non-storm conditions, and tide level under storms enables the detection of storm impacts and recovery with an accuracy of approximately 6 m in Praia de Faro. These findings highlight the importance of tailoring detection methodologies to the morphological state of the beach as it evolves over time.