Analyzing coastal dynamics by means of multi-sensor satellite imagery at the East Frisian Island of Langeoog, Germany

Monitoring coastal dynamics is critical for the effective protection of coastal environments. Satellite remote sensing data offers significant potential to support this monitoring while also addressing the considerable challenges posed by the rapidly changing environmental conditions in coastal regions, such as tidal levels and currents. These challenges are particularly pronounced in meso- and macrotidal coastal areas. The goal of this study is to evaluate the effectiveness of a multi-sensor satellite remote sensing-based approach to assess coastal dynamics in a mesotidal environment, using the Island of Langeoog, Germany, as a case study. This approach also addresses the often limited availability of in-situ data in such regions. We employed high-resolution (HR) and medium-resolution (MR) optical data, alongside very high-resolution (VHR) Synthetic Aperture Radar (SAR) data, to detect coastal changes by analyzing several proxies, including the migration of sand bars, waterline position, dune toe location, and the extent of dry sandy coastal areas. To achieve this, we assessed and integrated thresholding and classification methods based on their suitability for specific sensors and proxies. Our findings demonstrate that combining different sensor types enables a more comprehensive analysis of various proxies of coastal dynamics. We successfully extracted instantaneous waterlines and identified migrating sand bars, linking these results to shoreline positions. Furthermore, our analysis revealed the direct influence of replenishment measures on beach conditions and suggested a stabilizing effect on the protective dune system. The findings display the uncertainties due to wave run-up and short-term variations in water level associated with analyzing dynamic meso-tidal sandy beach areas. Our results underscore the significant potential of multi-sensor data integration and diverse methodological approaches for supporting coastal protection authorities assessing the state of beaches.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-03-02
DOI
https://doi.org/10.1038/s41598-025-91306-3
Citations
3
Primary Topic
Coastal and Marine Dynamics
Type
article
Field-Weighted Citation Impact
5.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing coastal dynamics by means of multi-sensor satellite imagery at the East Frisian Island of Langeoog, Germany

Günter Strunz, Sandro Martinis, Simon Plank, J. Holzner
3 citations
Scientific Reports
Coastal and Marine Dynamics
5.01
article

Analyzing coastal dynamics by means of multi-sensor satellite imagery at the East Frisian Island of Langeoog, Germany

Günter Strunz, Sandro Martinis, Simon Plank, J. Holzner
article en
3 citations

Abstract

Monitoring coastal dynamics is critical for the effective protection of coastal environments. Satellite remote sensing data offers significant potential to support this monitoring while also addressing the considerable challenges posed by the rapidly changing environmental conditions in coastal regions, such as tidal levels and currents. These challenges are particularly pronounced in meso- and macrotidal coastal areas. The goal of this study is to evaluate the effectiveness of a multi-sensor satellite remote sensing-based approach to assess coastal dynamics in a mesotidal environment, using the Island of Langeoog, Germany, as a case study. This approach also addresses the often limited availability of in-situ data in such regions. We employed high-resolution (HR) and medium-resolution (MR) optical data, alongside very high-resolution (VHR) Synthetic Aperture Radar (SAR) data, to detect coastal changes by analyzing several proxies, including the migration of sand bars, waterline position, dune toe location, and the extent of dry sandy coastal areas. To achieve this, we assessed and integrated thresholding and classification methods based on their suitability for specific sensors and proxies. Our findings demonstrate that combining different sensor types enables a more comprehensive analysis of various proxies of coastal dynamics. We successfully extracted instantaneous waterlines and identified migrating sand bars, linking these results to shoreline positions. Furthermore, our analysis revealed the direct influence of replenishment measures on beach conditions and suggested a stabilizing effect on the protective dune system. The findings display the uncertainties due to wave run-up and short-term variations in water level associated with analyzing dynamic meso-tidal sandy beach areas. Our results underscore the significant potential of multi-sensor data integration and diverse methodological approaches for supporting coastal protection authorities assessing the state of beaches.

Scientific ReportsVol. 15(1)
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Life below water
Openalex Percentile: Top 6%
Coastal and Marine Dynamics
5.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.