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Labeled SAR imagery dataset of ten geophysical phenomena from Sentinel-1 wave mode (TenGeoP-SARwv)

The TenGeoP-SARwv dataset is established based on the acquisitions of Sentinel-1A wave mode (WV) in VV polarization. This dataset consists of more than 37,000 SAR vignettes divided into ten defined geophysical categories, including both oceanic and meteorologic features. These images cover the entire open ocean and are manually selected from Sentinel-1A WV acquisitions in 2016. For each image, only one prevalent geophysical phenomena with its prescribed signature and texture is selected for labeling. The SAR images are processed into a quick-look image provided in the formats of PNG and GeoTIFF as well as the associated labels. They are convenient for both visual inspection and machine-learning-based methods exploitation. The proposed dataset is the first one involving different oceanic or atmospheric phenomena over the open ocean. It seeks to foster the development of strategies or approaches for massive ocean SAR image analysis. A key objective is to allow exploiting the full potential of Sentinel-1 WV SAR acquisitions, which are about 60,000 images per satellite per month and freely available. Such a dataset may be of value to a wide range of users and communities in deep learning, remote sensing, oceanography, and meteorology

Simple

Date (Publication)
2018
Date (Revision)
2025-06-05
Other citation details

Wang Chen, Mouche Alexis, Tandeo Pierre, Stopa Justin, Longépé Nicolas, Erhard Guillaume, Foster Ralph, Vandemark Douglas, Chapron Bertrand (2018). Labeled SAR imagery dataset of ten geophysical phenomena from Sentinel-1 wave mode (TenGeoP-SARwv). SEANOE. https://doi.org/10.17882/56796

In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :

Wang Chen, Mouche Alexis, Tandeo Pierre, Stopa Justin, Longépé Nicolas, Erhard Guillaume, Foster Ralph C., Vandemark Douglas, Chapron Bertrand (2019). A labelled ocean SAR imagery dataset of ten geophysical phenomena from Sentinel‐1 wave mode. Geoscience Data Journal, 6(2), 105-115. https://doi.org/10.1002/gdj3.73

Author
  Univ. Brest, CNRS, IRD, Ifremer, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, 29280, Brest, France Institut Mines-Télécom Atlantique, UMR 6285 LabSTICC, Université Bretagne Loire, Technopôle Brest-Iroise CS 83818, 29238 Brest Cedex 3, France - WANG Chen
Author
  Univ. Brest, CNRS, IRD, Ifremer, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, 29280, Brest, France - MOUCHE Alexis
Author
  Institut Mines-Télécom Atlantique, UMR 6285 LabSTICC, Université Bretagne Loire, Technopôle Brest-Iroise CS 83818, 29238 Brest Cedex 3, France - Tandeo Pierre
Author
  Univ. Brest, CNRS, IRD, Ifremer, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, 29280, Brest, France - Stopa Justin
Author
  Space and Ground Segment, Collecte Localisation Satellites (CLS), Plouzané, France - Longépé Nicolas
Author
  Space and Ground Segment, Collecte Localisation Satellites (CLS), Plouzané, France - Erhard Guillaume
Author
  Applied Physics Laboratory, University of Washington, 1013 NE 40th Street, Seattle, Washington, USA - Foster Ralph
Author
  Ocean Processes Analysis Laboratory, University of New Hampshire, New Hampshire, USA - Vandemark Douglas
Author
  Univ. Brest, CNRS, IRD, Ifremer, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, 29280, Brest, France - CHAPRON Bertrand
Publisher
  SEANOE
Theme
  • Synthetic aperture radar (SAR)
  • Sentinel-1 wave mode
  • SAR images
  • Geophysical phenomena
  • Classification
  • Manually labeling
  • Physical oceanography
  • Cross-discipline
  • Environment
ODATIS aggregation parameters and Essential Variable names
  • Currents
  • Turbidity
  • Waves
  • Wind
SeaDataNet Parameter Disciplines
  • Physical oceanography
  • Cross-discipline
  • Environment
Type de jeux de donnée ODATIS
  • /Observational data/in-situ
Use limitation
CC-BY-NC-SA (Creative Commons - Attribution, No commercial usage, Sharing under the same conditions)
Use constraints
Other restrictions
Date (Publication)
2025
Publisher
  Wiley
Author
  Wang Chen
Author
  Stopa Justin
Author
  Vandemark Doug
Author
  Foster Ralph
Author
  Ayet Alex
Author
  Mouche Alexis
Author
  Chapron Bertrand
Author
  Sadowski Peter
Unique resource identifier
10.1002/gdj3.282
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2025
Publisher
  Institute of Electrical and Electronics Engineers (IEEE)
Author
  Xia Junfei
Author
  Romeiser Roland
Author
  Zhang Wei
Author
  Özgökmen Tamay
Unique resource identifier
10.1109/jstars.2025.3558673
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2024
Publisher
  MDPI AG
Author
  Bai Chengzu
Author
  Zhang Shuo
Author
  Wang Xinning
Author
  Wen Jiaqiang
Author
  Li Chong
Unique resource identifier
10.3390/app14041489
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2024
Publisher
  MDPI AG
Author
  Huang Wenjun
Author
  Yu Anzhu
Author
  Xu Qing
Author
  Sun Qun
Author
  Guo Wenyue
Author
  Ji Song
Author
  Wen Bowei
Author
  Qiu Chunping
Unique resource identifier
10.3390/rs16050842
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2022
Publisher
  MDPI AG
Author
  Dai Ziyue
Author
  Li Huimin
Author
  Wang Chen
Author
  He Yijun
Unique resource identifier
10.3390/jmse10111594
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2021
Publisher
  Institute of Electrical and Electronics Engineers (IEEE)
Author
  Zhou Lizhang
Author
  Zheng Gang
Author
  Yang Jingsong
Author
  Li Xiaofeng
Author
  Zhang Bin
Author
  Wang He
Author
  Chen Peng
Author
  Wang Yan
Unique resource identifier
10.1109/TGRS.2021.3062401
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2020
Publisher
  Elsevier BV
Author
  WANG CHEN
Author
  VANDEMARK DOUGLAS
Author
  MOUCHE ALEXIS
Author
  CHAPRON BERTRAND
Author
  LI HUIMIN
Author
  FOSTER RALPH C.
Unique resource identifier
10.1016/j.rse.2020.112031
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2019
Publisher
  Wiley
Author
  WANG CHEN
Author
  MOUCHE ALEXIS
Author
  TANDEO PIERRE
Author
  STOPA JUSTIN
Author
  LONGÉPÉ NICOLAS
Author
  ERHARD GUILLAUME
Author
  FOSTER RALPH C.
Author
  VANDEMARK DOUGLAS
Author
  CHAPRON BERTRAND
Unique resource identifier
10.1002/gdj3.73
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2019
Publisher
  Elsevier BV
Author
  Wang Chen
Author
  Tandeo Pierre
Author
  Mouche Alexis
Author
  Stopa Justin
Author
  Gressani Victor
Author
  Longepe Nicolas
Author
  Vandemark Douglas
Author
  Foster Ralph C.
Author
  Chapron Bertrand
Unique resource identifier
10.1016/j.rse.2019.111457
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2023
Publisher
  SEANOE
Author
  Wang Chen
Author
  Stopa Justin
Author
  Vandemark Doug
Author
  Foster Ralph
Author
  Ayet Alex
Author
  Mouche Alexis
Author
  Chapron Bertrand
Unique resource identifier
10.17882/93947
Association Type
Cross reference
Initiative Type
dataset
Metadata language
English
Topic category
  • Oceans
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Distribution format
  • TEXTE ( )

  • IMAGE ( )

OnLine resource
Information of ten defined geophysical categories - 164 bytes ( WWW:DOWNLOAD-1.0-link--download )

Information of ten defined geophysical categories - 164 bytes

OnLine resource
Information of the labeled SAR images, including file name, labeling, swath, capture time, and centre latitude and longitude - 3 MB ( WWW:DOWNLOAD-1.0-link--download )

Information of the labeled SAR images, including file name, labeling, swath, capture time, and centre latitude and longitude - 3 MB

OnLine resource
Processed data ( WWW:DOWNLOAD-1.0-link--download )

High quality images for machine learning approach - 15 GB

OnLine resource
Processed data ( WWW:DOWNLOAD-1.0-link--download )

Quick-looks for human visual inspection - 16 GB

OnLine resource
DOI of the product ( WWW:LINK-1.0-http--metadata-URL )
OnLine resource
Seanoe ( rel-canonical )
Hierarchy level
Dataset
Statement
The ESA Sentinel-1 mission is a constellation of two polar-orbiting, sun-synchronous satellites (S-1 A and S-1 B) launched in April of 2014 and 2016, respectively. These two satellites both have a 12-day repeat cycle at the equator, and are phased at 180 deg to provide an effective 6-day repeat cycle. For each satellite, the expected lifetime is 7 years. Both carry a C-band SAR instrument with a center frequency of 5.405 GHz (5.5 cm wavelength). There are four exclusive imaging modes (Interferometric Wide swath, Extra Wide swath mode, Strip Map and Wave Mode) for the S-1 SAR sensors. WV is the default operational mode over open ocean unless wide-swath SAR images are requested for particular applications.
File identifier
seanoe:56796 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2025-06-05
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
 
 
 

Overviews

overview

Spatial extent

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Keywords

Classification Cross-discipline Environment Geophysical phenomena Manually labeling Physical oceanography SAR images Sentinel-1 wave mode Synthetic aperture radar (SAR)
ODATIS aggregation parameters and Essential Variable names
Currents Turbidity Waves Wind
Type de jeux de donnée ODATIS
/Observational data/in-situ

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