Subpixel Satellite-Derived Shorelines as Valuable Data for Equilibrium Shoreline Evolution Models

Jaramillo, Camilo; Sánchez-García, Elena; Jara, Martínez-Sánchez; González, Mauricio; Palomar-Vázquez, Jesús

doi:10.2112/jcoastres-d-20-00016.1

Cited by 7 publications

(6 citation statements)

References 81 publications

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“…The methodology is based on the application of an algorithm that ensures accurate image geometric registration and the use of a new algorithm for subpixel shoreline extraction (Ford, 2013). The subpixel shoreline acquisition method (SHOREX algorithm) was used to assess shoreline evolution using satellite-derived shorelines (Jaramillo et al, 2020).…”

Section: Automated Water Extraction Index (Awei)mentioning

confidence: 99%

Monitoring Coastline Dynamics Using Satellite Remote Sensing and Geographic Information Systems: A Review of Global Trends

Darwish

2024

Catrina: The International Journal of Environmental Sciences

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Section: Automated Water Extraction Index (Awei)mentioning

confidence: 99%

Monitoring Coastline Dynamics Using Satellite Remote Sensing and Geographic Information Systems: A Review of Global Trends

Darwish

2024

Catrina: The International Journal of Environmental Sciences

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“…This dissertation contains all its potential and practical utility in the monitoring of coastal segments to enable predictions. High-resolution coastal evolution models play an important role but require multiple shorelines for their calibration and evaluation (Jaramillo et al, 2020). Therefore, this synergy gives rise to powerful coastal evolutionary studies resolving the temporal limitation of the images with the model, and the spatial limitation of the model with the images.…”

Section: Tesis Doctoralmentioning

confidence: 99%

Photogrammetry and image processing techniques for beach monitoring

Sánchez-García

2020

Rev. Teledetec.

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<p>The land-water boundary varies according to the sea level and the shape of a beach profile that is continuously modelled by incident waves. Attempting to model the response of a landscape as geomorphologically volatile as beaches requires multiple precise measurements to recognize responses to the actions of various geomorphic agents. It is therefore essential to have monitoring systems capable of systematically recording the shoreline accurately and effectively. New methods and tools are required to efficiently capture, characterize, and analyze information – and so obtain geomorphologically significant indicators. This is the aim of the doctoral thesis, focusing on the development of tools and procedures for coastal monitoring using satellite images and terrestrial photographs. The work brings satellite image processing and photogrammetric solutions to scientists, engineers, and coastal managers by providing results that demonstrate the usefulness of these viable and lowcost techniques. Existing and freely accessible public information (satellite images, video-derived data, or crowdsourced photographs) can be converted into high quality data for monitoring morphological changes on beaches and thus help achieve a sustainable management of coastal resources.</p>

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“…Beach profile surveys, carried out along the shore, provide important information about spatial variation in the morphology of the beach and foredune, when present; if they are repeated at appropriate time intervals, they may provide details on the magnitude and frequency of cross-shore and shoreline position changes [23]. In the absence of previous beach profile information, the analysis of historical satellite imagery may offer an adequate substitute for defining shoreline evolution, data extremely useful for quantifying historical erosion/accretion rates [24]. Key parameters used as indicators of the conservation state of the coast should also include spatial and temporal data about adjacent marine ecosystems, such as seagrass beds or coral reefs, due to their relationship and connectivity with the shore [10,14,25].…”

Section: Introductionmentioning

confidence: 99%

Beyond the Beach: Multi-Parameter Interpretation of Shore Deterioration in a Caribbean Reef System

de Almeida,

Ávila-Mosqueda,

Mendoza

et al. 2024

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Throughout the Caribbean region, coastal areas are of vital importance for national incomes from the tourism industry. However, accelerated coastal development has impacted the coastal ecosystems, including the beaches, and deterioration of the shore results from cumulative impacts on both marine and coastal ecosystems. It is essential to identify the areas that need special attention for targeted management plans and actions, especially in areas with high anthropogenic pressure. This research proposes an integrated assessment of the conservation state of shore and coastal ecosystems in the Puerto Morelos National Reef Park (PNAPM) in the Mexican Caribbean, through the spatial monitoring of key parameters. A Geographic Information System (GIS) was employed to analyze the land use on the shore, foredune condition, morphological characteristics of the beaches, shoreline evolution, and the condition of coral reefs and seagrass meadows. The analysis identified the most critical areas in relation to shore deterioration and priority areas for the preservation of ecosystems. The spatial data obtained for the PNAPM can serve as a basis for ongoing shore monitoring, and targeted management actions through the designation of areas that require either preservation or ecosystem restoration practices. This methodology can be applied to other reef systems in the Caribbean.

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Subpixel Satellite-Derived Shorelines as Valuable Data for Equilibrium Shoreline Evolution Models

Cited by 7 publications

References 81 publications

Monitoring Coastline Dynamics Using Satellite Remote Sensing and Geographic Information Systems: A Review of Global Trends

Monitoring Coastline Dynamics Using Satellite Remote Sensing and Geographic Information Systems: A Review of Global Trends

Photogrammetry and image processing techniques for beach monitoring

Beyond the Beach: Multi-Parameter Interpretation of Shore Deterioration in a Caribbean Reef System

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