Unveiling coastal change across the Arctic with full Landsat collections and data fusion

Arctic communities urgently need regional to local-scale information on the rapid coastal changes, caused by thawing permafrost, melting glaciers, and declining sea ice. We introduce a procedure for mapping coastal land cover change from satellite images in the challenging Arctic conditions (and beyond). Our approach utilizes data fusion and cloud computing in Google Earth Engine to process the full Landsat collections for the entire Arctic. It merges information from multiple Landsat sensors and utilizes complementary spatial data and two algorithms to enhance classification accuracy and processing efficiency. This mitigates issues with local illumination conditions and the low availability and quality of satellite data in the Arctic before 2010s. Calculating post-classification composites of coastal land cover over five-year time-steps effectively reduces the impacts of clouds, suspended sediment, and the tide. The procedure was iteratively developed in calibration sites with contrasting physical characteristics. Validation of the final product indicates an overall classification accuracy of more than 98 % (against manually labelled data) and a median shoreline error distance of c. 20 and 10 m in mesotidal and microtidal coasts, respectively. The resulting Arctic Coastal Change dataset presents coastal dynamics from 1984 to 2023 at a 30-m resolution, and highlights hotspots that experience coastal erosion or accretion at a rate of more than 10 m/a. The overall coherence of our results with 61 other studies across the Arctic shows the robustness of the procedure. However, exploring the dataset may uncover localized errors that call for procedure improvements through new collaborative Arctic coastal dynamics studies. • We developed a scalable procedure using satellite data for coastal change analyses. • Data fusion improves classification accuracy in challenging Arctic conditions. • We present new coastal land cover data for the entire Arctic at 30-m resolution. • New data agree well with 61 published Arctic coastal erosion and accretion rates. • The data can be used for examining global to local-scale coastal dynamics.

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Publication Details

Journal
Remote Sensing of Environment
Published
2025-03-11
DOI
https://doi.org/10.1016/j.rse.2025.114696
Citations
4
Primary Topic
Climate change and permafrost
Type
article
Field-Weighted Citation Impact
5.20
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article

Unveiling coastal change across the Arctic with full Landsat collections and data fusion

Mikel Calle, Tua Nylén, Carlos Gonzales‐Inca
4 citations
Remote Sensing of Environment
Climate change and permafrost
5.20
article

Unveiling coastal change across the Arctic with full Landsat collections and data fusion

Mikel Calle, Tua Nylén, Carlos Gonzales‐Inca
article en
4 citations

Abstract

Arctic communities urgently need regional to local-scale information on the rapid coastal changes, caused by thawing permafrost, melting glaciers, and declining sea ice. We introduce a procedure for mapping coastal land cover change from satellite images in the challenging Arctic conditions (and beyond). Our approach utilizes data fusion and cloud computing in Google Earth Engine to process the full Landsat collections for the entire Arctic. It merges information from multiple Landsat sensors and utilizes complementary spatial data and two algorithms to enhance classification accuracy and processing efficiency. This mitigates issues with local illumination conditions and the low availability and quality of satellite data in the Arctic before 2010s. Calculating post-classification composites of coastal land cover over five-year time-steps effectively reduces the impacts of clouds, suspended sediment, and the tide. The procedure was iteratively developed in calibration sites with contrasting physical characteristics. Validation of the final product indicates an overall classification accuracy of more than 98 % (against manually labelled data) and a median shoreline error distance of c. 20 and 10 m in mesotidal and microtidal coasts, respectively. The resulting Arctic Coastal Change dataset presents coastal dynamics from 1984 to 2023 at a 30-m resolution, and highlights hotspots that experience coastal erosion or accretion at a rate of more than 10 m/a. The overall coherence of our results with 61 other studies across the Arctic shows the robustness of the procedure. However, exploring the dataset may uncover localized errors that call for procedure improvements through new collaborative Arctic coastal dynamics studies. • We developed a scalable procedure using satellite data for coastal change analyses. • Data fusion improves classification accuracy in challenging Arctic conditions. • We present new coastal land cover data for the entire Arctic at 30-m resolution. • New data agree well with 61 published Arctic coastal erosion and accretion rates. • The data can be used for examining global to local-scale coastal dynamics.

Remote Sensing of EnvironmentVol. 322
University of Helsinki (FI), University of Turku (FI), Turku University of Applied Sciences (FI), Turku Centre for Computer Science (FI)
Life below water
Openalex Percentile: Top 5%
Climate change and permafrost
5.20
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