Combining optical and SAR satellite data to monitor coastline changes in the Black Sea

The coastal environments of the Black Sea are of high ecological and socio-economic importance. Understanding changes along this extensive and complex coastline can help us comprehend the pressures from nature, society, and extreme events, providing valuable insights for more effective management and the prevention of future adverse changes. Current methods for monitoring coastal dynamics rely on the accurate extraction of coastlines from optical and/or Synthetic Aperture Radar (SAR) images, providing information only on the rate of change. This study developed a simple yet novel approach by combining Sentinel-1 SAR image for surface change detection and Sentinel-2 Multispectral Instrument (MSI) optical image for coastline detection, which provides data on both the rate and area of change. Coastlines were extracted from the Modified Normalised Difference Water Index (MNDWI) calculated from MSI images and rates of change were calculated from the extracted coastlines. SAR images for the same areas were stacked and differences during the analysis period were calculated, allowing the determination of the area of change. Another new method was developed to combine the changes detected from optical and SAR images, and only results in locations showed consistent change direction (erosion or accretion) were retained. The extracted coastlines were validated using in situ- measured coastlines along the Romanian and Georgian coasts. The validation analysis showed that the average difference between satellite-derived and in situ coastlines was 11.8 m. The method developed was then applied to the entire Black Sea coast, revealing 35.1 km 2 of changes between 2016 and 2023. These observed changes include 23.9 km 2 (68 %) coastal advance and 11.3 km 2 (32 %) of retreat. A total of 54 % of the changes are estimated to be the result of natural coastline erosion or accretion, whilst 35 % can be attributed to artificial changes related to construction activity. Around 11 % are attributed to random occurrences due to boat/ship movement or land cover changes on adjacent land. Natural coastline changes were mainly observed in the vicinity of deltaic and estuarine system and along sandy shorelines, including along the Danube Delta, Kızılırmak-Yeşilırmak deltas, Chorokhi-Rioni-Kodori River mouths and the coast from Dnieper-Bug Estuary to Karkinit Bay. Artificial changes were mainly found along the southern Black Sea coast, where airports, ports, harbours, and jetties have been constructed in recent years. The proposed method provides a simple, efficient and accurate way for coastline change monitoring, and findings in this study can support the sustainable coastal zone management in the Black Sea.

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Publication Details

Journal
ISPRS Journal of Photogrammetry and Remote Sensing
Published
2025-05-15
DOI
https://doi.org/10.1016/j.isprsjprs.2025.05.003
Citations
7
Primary Topic
Marine and environmental studies
Type
article
Field-Weighted Citation Impact
12.55
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article

Combining optical and SAR satellite data to monitor coastline changes in the Black Sea

Evangelos Spyrakos, Armando Marino, Andrew N. Tyler, Zura Savaneli et al.
7 citations
ISPRS Journal of Photogrammetry and Remote Sensing
Marine and environmental studies
12.55
article

Combining optical and SAR satellite data to monitor coastline changes in the Black Sea

Evangelos Spyrakos, Armando Marino, Andrew N. Tyler, Zura Savaneli, Mamuka Gvilava, Dalin Jiang, Adrian Stănică, Carlos Loureiro, Maria Ionescu
article en
7 citations

Abstract

The coastal environments of the Black Sea are of high ecological and socio-economic importance. Understanding changes along this extensive and complex coastline can help us comprehend the pressures from nature, society, and extreme events, providing valuable insights for more effective management and the prevention of future adverse changes. Current methods for monitoring coastal dynamics rely on the accurate extraction of coastlines from optical and/or Synthetic Aperture Radar (SAR) images, providing information only on the rate of change. This study developed a simple yet novel approach by combining Sentinel-1 SAR image for surface change detection and Sentinel-2 Multispectral Instrument (MSI) optical image for coastline detection, which provides data on both the rate and area of change. Coastlines were extracted from the Modified Normalised Difference Water Index (MNDWI) calculated from MSI images and rates of change were calculated from the extracted coastlines. SAR images for the same areas were stacked and differences during the analysis period were calculated, allowing the determination of the area of change. Another new method was developed to combine the changes detected from optical and SAR images, and only results in locations showed consistent change direction (erosion or accretion) were retained. The extracted coastlines were validated using in situ- measured coastlines along the Romanian and Georgian coasts. The validation analysis showed that the average difference between satellite-derived and in situ coastlines was 11.8 m. The method developed was then applied to the entire Black Sea coast, revealing 35.1 km 2 of changes between 2016 and 2023. These observed changes include 23.9 km 2 (68 %) coastal advance and 11.3 km 2 (32 %) of retreat. A total of 54 % of the changes are estimated to be the result of natural coastline erosion or accretion, whilst 35 % can be attributed to artificial changes related to construction activity. Around 11 % are attributed to random occurrences due to boat/ship movement or land cover changes on adjacent land. Natural coastline changes were mainly observed in the vicinity of deltaic and estuarine system and along sandy shorelines, including along the Danube Delta, Kızılırmak-Yeşilırmak deltas, Chorokhi-Rioni-Kodori River mouths and the coast from Dnieper-Bug Estuary to Karkinit Bay. Artificial changes were mainly found along the southern Black Sea coast, where airports, ports, harbours, and jetties have been constructed in recent years. The proposed method provides a simple, efficient and accurate way for coastline change monitoring, and findings in this study can support the sustainable coastal zone management in the Black Sea.

ISPRS Journal of Photogrammetry and Remote SensingVol. 226
Tbilisi State University (GE), University of Stirling (GB), University of Bucharest (RO), GeoEcoMar (RO), Global Initiative on Psychiatry (GE), University of Algarve (PT), University of KwaZulu-Natal (ZA)
Life below water
Openalex Percentile: Top 1%
Marine and environmental studies
12.55
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