Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean

Viaña-Borja, Sandra Paola; Fernández-Mora, Àngels; Stumpf, Richard P.; Navarro, Gabriel; Caballero, Isabel

doi:10.1016/j.jag.2023.103328

Cited by 3 publications

(1 citation statement)

References 72 publications

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“…This is not always possible due to the limitations of traditional coastal monitoring techniques, usually leading to datasets constrained to small study areas or with a low temporal resolution. To overcome these limitations, coastal monitoring studies are being increasingly supported by the use of freely available optical satellite imagery with planetary coverage and high revisit frequency [10], as well as those from the Landsat and Copernicus programs (e.g., [11][12][13]). These images offer a sub-weekly revisit time [14], which is especially important for recognizing the morphological impact of storms and their subsequent recovery as these changes can occur in a short time frame [15].…”

Section: Introductionmentioning

confidence: 99%

Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy

et al. 2023

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SAET (Shoreline Analysis and Extraction Tool) is a novel open-source tool to enable the completely automatic detection of shoreline position changes using the optical imagery acquired by the Sentinel-2 and Landsat 8 and 9 satellites. SAET has been developed within the ECFAS (European Coastal Flood Awareness System) project, which is intended to be the first European service for coastal flood forecasting, management, and recovery analysis. The tool is developed to characterise the shoreline response associated with punctual events such as coastal storms as well as any other phenomenon. For a given beach segment, SAET facilitates the selection of the satellite images closest in time to the analysed events that offer an adequate cloud coverage level for analysing the shoreline change. Subsequently, the tool automatically downloads the images from their official repositories, pre-processes them and extracts the shoreline position with sub-pixel accuracy. In order to do so, an initial approximate definition of the shoreline is carried out at the pixel level using a water index thresholding, followed by an accurate extraction operating on the shortwave infrared bands to produce a sub-pixel line in vector formats (points and lines). The tool offers different settings to be adapted to the different coastal environments and beach typologies. Its main advantages refer to its autonomy, its efficiency in extracting complete satellite scenes, its flexibility in adapting to different environments and conditions, and its high subpixel accuracy. This work presents an accuracy assessment on a long Mediterranean sandy beach of SDSs extracted from L8 and S2 imagery against coincident alongshore reference lines, showing an accuracy of about 3 m RMSE. At the same time, the work shows an example of the usage of SAET for characterising the response to Storm Gloria (January 2020) on the beaches of Valencia (E Spain). SAET provides an efficient and completely automatic workflow that leads to accurate SDSs while only relying on publicly available information. The tool appears to be a useful extraction tool for beach monitoring, both for public administrations and individual users.

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Section: Introductionmentioning

confidence: 99%

Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy

et al. 2023

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Technical and economic challenges for floating offshore wind deployment in Italy and in the Mediterranean Sea

Serri,

Airoldi,

Lanni

et al. 2024

WIREs Energy & Environment

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Offshore wind is nowadays already well developed in the North European countries. Ninety‐nine percent of the offshore wind turbines are installed on fixed foundations in shallow waters. For areas with water depth greater than 50–60 m, the floating wind is the cheapest and mostly used technology. This technology is going to reach the commercial phase in a few years, thus disclosing the potential of all marine areas with deep waters close to the coast, including the Mediterranean basin. One of the main challenges for floating offshore wind deployment in this area is the achievement of its economic feasibility. The offshore wind resource in the Mediterranean is generally lower than the one in the North Sea and in Oceans and the cost of offshore wind farms, especially with floating technology, is higher than the present offshore wind farm installations also because this industrial sector has not yet started in this area. However, in the Mediterranean area, the potential of offshore wind to contribute to the decarbonization pathway and reduce the dependence on imported fuel supply is substantial. Numerous studies, examined in this article, have already performed a technical‐economic assessment of offshore wind farms in different countries and geographical areas within the basin. A significant number of offshore wind projects are already in different stages of development, confirming the industrial interest and readiness of the Mediterranean offshore wind energy sector. The article provides a comprehensive review of various factors influencing the future deployment of offshore wind in the Mediterranean. It covers a range of topics including technology advancements, resource assessment, wind energy potential, ongoing projects, costs, and economic aspects. Additionally, it discusses environmental sustainability, regulatory frameworks, supply chain logistics, and system integration. The updated review presented in this article could assist decision‐makers and stakeholders in gaining a better understanding of the characteristics of this promising sector and accelerating its development.This article is categorized under: Sustainable Energy > Wind Energy

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Bathymetry mapping with empirical bathymetry method based on sentinel application platform case study: Bawean Island, Central Java

Ananda Putra Suardana,

Thayyib,

Setiawan

et al. 2024

BIO Web Conf.

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Bathymetry information is an important requirement for the marine and fisheries sector in Indonesia. However, the acquisition of information is done in the traditional way, namely surveys using single/multibeam echosounder devices carried by ships. This method was inefficient, especially to cover a wider area. The development of remote sensing technology can be a solution and has become a source of data for satellite-derived bathymetry (SDB). One of the areas of concern in this research is the eastern waters of Bawean Island located in the Java Sea. This research uses the SNAP method to determine the results and accuracy of bathymetry mapping in shallow sea waters east of Bawean Island. This method is generated from regression modeling between spectral values of satellite image data and in-situ depth data. The satellite data used is the Sentinel-2A image recorded on December 9, 2022. The results showed that the Sentinel-2A satellite can produce depth information up to 27.9 meters. The coefficient of determination, R2, is 86%, and the confusion matrix accuracy value is 75.21%.

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Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean

Cited by 3 publications

References 72 publications

Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy

Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy

Technical and economic challenges for floating offshore wind deployment in Italy and in the Mediterranean Sea

Bathymetry mapping with empirical bathymetry method based on sentinel application platform case study: Bawean Island, Central Java

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