Development of a Coastal Erosion Monitoring Plan Using In Situ Measurements and Satellite Images

Coastal erosion affects nearly 70% of global beaches, threatening ecosystems and socio-economic development. This study proposes a monitoring framework integrating Differential GNSS RTK, RPA photogrammetry with PPK, and high-resolution satellite imagery to evaluate shoreline change and beach profiles along Panama’s Pacific coast. Short-term (3–5 months) and long-term (13 years) analyses were conducted using DSAS metrics—End Point Rate (EPR) and Net Shoreline Movement (NSM)—to quantify erosion trends. Results show Differential GNSS provides superior accuracy for sandy beach profiling, while RPA photogrammetry is effective in complex terrains such as rocky-bottom beaches. Combining RPA and satellite imagery enhances long-term shoreline monitoring. The proposed plan offers a scalable, cost-effective approach for coastal management, supporting evidence-based policy, land-use planning, and disaster risk reduction, while serving as a methodological reference for future research.

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Publication Details

Journal
Applied Sciences
Published
2025-12-02
DOI
https://doi.org/10.3390/app152312769
Primary Topic
Coastal and Marine Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of a Coastal Erosion Monitoring Plan Using In Situ Measurements and Satellite Images

Gisselle Guerra-Chanis, Moisés Lima-Delgado, Víctor Castro-Quintero
Applied Sciences
Coastal and Marine Dynamics
article

Development of a Coastal Erosion Monitoring Plan Using In Situ Measurements and Satellite Images

Gisselle Guerra-Chanis, Moisés Lima-Delgado, Víctor Castro-Quintero
article en

Abstract

Coastal erosion affects nearly 70% of global beaches, threatening ecosystems and socio-economic development. This study proposes a monitoring framework integrating Differential GNSS RTK, RPA photogrammetry with PPK, and high-resolution satellite imagery to evaluate shoreline change and beach profiles along Panama’s Pacific coast. Short-term (3–5 months) and long-term (13 years) analyses were conducted using DSAS metrics—End Point Rate (EPR) and Net Shoreline Movement (NSM)—to quantify erosion trends. Results show Differential GNSS provides superior accuracy for sandy beach profiling, while RPA photogrammetry is effective in complex terrains such as rocky-bottom beaches. Combining RPA and satellite imagery enhances long-term shoreline monitoring. The proposed plan offers a scalable, cost-effective approach for coastal management, supporting evidence-based policy, land-use planning, and disaster risk reduction, while serving as a methodological reference for future research.

Applied SciencesVol. 15(23)
Secretaría Nacional de Ciencia, Tecnología e Innovación (PA), City of Knowledge (PA), Universidad Tecnológica de Panamá (PA)
Secretaría Nacional de Ciencia, Tecnología e Innovación
Openalex Percentile: Top 60%
Coastal and Marine Dynamics
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