2026-10-14T20:47:48Z
https://api.figshare.com/v2/oai
oai:figshare.com:article/34002257
2026-09-26T05:18:27Z
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U-Net-based time-series mapping of tidal flat areas and carbon sink variations under fluctuating tidal levels
Myung Sik Cho (17881859)
Byungyun Yang (25113665)
Medicine
Environmental Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Astronomical and Space Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Inorganic Chemistry
Tidal flats
carbon sequestration
U-Net model
Sentinel-2
<p>Tidal flats are crucial for carbon storage but are threatened by human activities. Satellite remote sensing data and deep learning methods help extrapolate field-based carbon measurements to broader spatial and temporal scales. However, inconsistent tidal heights during satellite image acquisition can bias carbon sink estimates. This study employed a U-Net model to map tidal flat areas and estimate their organic carbon sequestration rates from 2016 to 2024 in Seocheon, South Korea. Tidal flats were delineated at the lowest tidal height available each year from Sentinel-2 data and calculated carbon sequestration using a locally derived coefficient. Results showed tidal levels fluctuating between 51.0 and 202.5 cm caused tidal flat areas to range from 53.2 km² to 71.5 km², corresponding to changes in carbon sequestration from 734 Mg C yr<sup>−</sup>¹ to 989 Mg C yr<sup>−</sup>¹. These findings emphasize the need for a fixed tidal height for consistent carbon sink monitoring.</p>
2026-09-26T05:18:27Z
Dataset
Dataset
10.6084/m9.figshare.34002257.v1
https://figshare.com/articles/dataset/U-Net-based_time-series_mapping_of_tidal_flat_areas_and_carbon_sink_variations_under_fluctuating_tidal_levels/34002257
CC BY 4.0