A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions
Year: 2024
Type: article
Abstract: A dataset of multi‐tagged sea surface roughness synthetic aperture radar (SAR) satellite images was established near Barbados from January to June 2016 to 2019. It is an advancement of the Sentinel‐1 Wave Mode TenGeoP‐SARwv (a labelled SAR imagery dataset of 10 geophysical phenomena from Sentinel‐1 wave mode) dataset that targets SAR marine atmospheric boundary layer (MABL) coherent structures. Twelve tags define roll vortices, convective cells, mixed rolls and convective cells, fronts, rain cells, cold pools and low winds. Examples are provided for each signature. The final dataset is comprised of 2100 Sentinel‐1 wave mode SAR images acquired at 36 incidence angle over an 8° × 8°region centered at 51° W, 15° N. Each image is tagged with one or multiple phenomena by five experts. This strategy extends the TenGeoP‐SARwv by identifying coexisting phenomena within a single SAR image and by the addition of mixed roll/cell states and cold pools. The dataset includes PNG‐formatted SAR image files along with two text files containing the file name, the central latitude/longitude, expert tags for each image, and all dataset metadata. There is a high degree of consensus among expert tags. The dataset complements existing hand‐labelled ocean SAR image datasets and offers the potential for new deep‐learning SAR image classification model developments. Future use is also expected to yield new insights into the tradewind MABL processes such as structure transitions and their relation to the stratification.
Source: Geoscience Data Journal
DOI: 10.1002/gdj3.282
Institutions: Ministry of Natural Resources, University of Hawaiʻi at Mānoa, University of New Hampshire, University of Washington, University of Washington Applied Physics Laboratory, Institut polytechnique de Grenoble, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, GIPSA-Lab, Université Grenoble Alpes, Ifremer, Institut de Recherche pour le Développement
Language: English
Subfield: Oceanography
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,080
Funders: Centre national d'études spatiales, National Science Foundation, National Aeronautics and Space Administration, Johns Hopkins University, Institut Français de Recherche pour l'Exploitation de la Mer, European Space Agency, National Natural Science Foundation of China, Centre National d’Etudes Spatiales, Nuclear Safety and Security Commission
OpenAlex ID: W4405248199