A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions
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 Se...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Geoscience Data Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/gdj3.282 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832584936978120704 |
|---|---|
| author | Chen Wang Justin E. Stopa Doug Vandemark Ralph Foster Alex Ayet Alexis Mouche Bertrand Chapron Peter Sadowski |
| author_facet | Chen Wang Justin E. Stopa Doug Vandemark Ralph Foster Alex Ayet Alexis Mouche Bertrand Chapron Peter Sadowski |
| author_sort | Chen Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7f55e712088c4f9aa9c33e843e9c8d57 |
| institution | Kabale University |
| issn | 2049-6060 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geoscience Data Journal |
| spelling | doaj-art-7f55e712088c4f9aa9c33e843e9c8d572025-01-27T08:26:33ZengWileyGeoscience Data Journal2049-60602025-01-01121n/an/a10.1002/gdj3.282A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditionsChen Wang0Justin E. Stopa1Doug Vandemark2Ralph Foster3Alex Ayet4Alexis Mouche5Bertrand Chapron6Peter Sadowski7School of Marine Sciences Nanjing University of Information Science & Technology Nanjing ChinaDepartment of Ocean Resources and Engineering University of Hawai'i at Mānoa Honolulu Hawaii USAOcean Process Analysis Laboratory University of New Hampshire Durham New Hampshire USAApplied Physics Laboratory University of Washington Seattle Washington USACNRS Université Grenoble Alpes, Inria, Grenoble INP, GIPSA‐Lab Grenoble FranceLaboratoire d'Océanographie Physique et Spatiale (LOPS) Univ. Brest, CNRS, IRD, IFREMER Brest FranceLaboratoire d'Océanographie Physique et Spatiale (LOPS) Univ. Brest, CNRS, IRD, IFREMER Brest FranceDepartment of Information and Computer Science University of Hawai'i at Mānoa Honolulu Hawaii USAAbstract 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.https://doi.org/10.1002/gdj3.282Barbadosmarine atmospheric boundary layerrolls and cellsSentinel‐1 wave modesynthetic aperture radar |
| spellingShingle | Chen Wang Justin E. Stopa Doug Vandemark Ralph Foster Alex Ayet Alexis Mouche Bertrand Chapron Peter Sadowski A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions Geoscience Data Journal Barbados marine atmospheric boundary layer rolls and cells Sentinel‐1 wave mode synthetic aperture radar |
| title | A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions |
| title_full | A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions |
| title_fullStr | A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions |
| title_full_unstemmed | A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions |
| title_short | A multi‐tagged SAR ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions |
| title_sort | multi tagged sar ocean image dataset identifying atmospheric boundary layer structure in winter tradewind conditions |
| topic | Barbados marine atmospheric boundary layer rolls and cells Sentinel‐1 wave mode synthetic aperture radar |
| url | https://doi.org/10.1002/gdj3.282 |
| work_keys_str_mv | AT chenwang amultitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT justinestopa amultitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT dougvandemark amultitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT ralphfoster amultitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT alexayet amultitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT alexismouche amultitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT bertrandchapron amultitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT petersadowski amultitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT chenwang multitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT justinestopa multitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT dougvandemark multitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT ralphfoster multitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT alexayet multitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT alexismouche multitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT bertrandchapron multitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions AT petersadowski multitaggedsaroceanimagedatasetidentifyingatmosphericboundarylayerstructureinwintertradewindconditions |