Reil, Marlena; Huntemann, Marcus; Spreen, Gunnar (2024): Helicopter-borne melt pond, sea ice, and ocean surface temperatures with surface type classifications during the Polarstern PS131 ATWAICE expedition in the Arctic during summer 2022 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.971908
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Abstract:
We provide 1 m resolution airborne thermal infrared imagery that captures sea ice, melt pond, and ocean surface temperatures during the Arctic summer in 2022. The data were acquired during the RV Polarstern PS131 ATWAICE expedition in the marginal sea ice zone of the Fram Strait region and north of it in July and August 2022. A total of 16 flights were conducted with an InfraTec Vario-CAM HD head 680 camera at a typical altitude of 300 m. Each image records the broadband infrared radiation (7.5 μm to 14 μm). The data is stored in NetCDF format, with one file per flight and 640x480 pixels per image at an acquisition frequency of 4 Hz (i.e., images have significant overlap). The data has been corrected for image gradients caused by the lens and sea ice drift during the flight. These data can be used to better understand sea ice surface temperatures and melt pond distribution. In addition, we provide a processed version where the surface temperatures are classified into sea ice, melt pond, and ocean surface types using a deep learning based model.
Related to:
Kanzow, Torsten (2023): The Expedition PS131 of the Research Vessel Polarstern to the Fram Strait in 2022. Berichte zur Polar- und Meeresforschung = Reports on Polar and Marine Research, 770, 320 pp, https://doi.org/10.57738/BzPM_0770_2023
Reil, Marlena (2023): Detection of Melt Ponds on Arctic Sea Ice from Infrared Images using U-net [thesis]. University of Osnabrück in cooperation with University of Bremen, https://seaice.uni-bremen.de/fileadmin/theses_reports/Reil_Marlena-Bachelor_thesis_small.pdf
Reil, Marlena; Spreen, Gunnar; Huntemann, Marcus; Buth, Lena; Wilson, Dennis (2024): Machine Learning for the Detection of Arctic Melt Ponds from Infrared Imagery. Workshop paper at "Tackling Climate Change with Machine Learning", International Conference on Learning Representations (ICLR) 2024, Vienna, Austria and virtual, https://www.climatechange.ai/papers/iclr2024/56
Additional metadata:
O2A Registry: Metadata for light optics Infrared VarioCAM HD head 680 at current version. Alfred Wegener Institut Helmholtz Centre for Polar and Marine Research, hdl:10013/sensor.0542bbfb-172a-496f-9bce-b21c59cd02c9
Project(s):
Arctic Amplification (AC3)
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS131_02: Ice
German Research Foundation (DFG), grant/award no. 268020496: TRR 172: ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms
Coverage:
Median Latitude: 80.755846 * Median Longitude: 4.255231 * South-bound Latitude: 75.883000 * West-bound Longitude: -15.639000 * North-bound Latitude: 82.770000 * East-bound Longitude: 10.033000
Date/Time Start: 2022-07-13T07:53:54 * Date/Time End: 2022-08-08T08:49:08
Event(s):
PS131_HELI220713T0753 * Latitude: 81.613000 * Longitude: 6.837000 * Date/Time: 2022-07-13T07:53:54 * Campaign: PS131 (ATWAICE) * Basis: Polarstern * Method/Device: Helicopter (HELI) * Comment: Test flight with lower flight altitude
PS131_HELI220713T1045 * Latitude: 81.597000 * Longitude: 6.807000 * Date/Time: 2022-07-13T10:45:32 * Campaign: PS131 (ATWAICE) * Basis: Polarstern * Method/Device: Helicopter (HELI) * Comment: Test flight with lower flight altitude
PS131_HELI220717T0759 * Latitude: 80.714000 * Longitude: 9.500000 * Date/Time: 2022-07-17T07:59:15 * Campaign: PS131 (ATWAICE) * Basis: Polarstern * Method/Device: Helicopter (HELI) * Comment: Measurement device in the viewfield
Comment:
The processing code is available in this GitHub repository: https://github.com/marlens123/autoSAM_pond_segmentation/. More information about the infrared camera can be found on the AWI Sensor Web at https://hdl.handle.net/10013/sensor.0542bbfb-172a-496f-9bce-b21c59cd02c9.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Reil, Marlena | |||
| 2 | Date/Time of event | Date/Time | Reil, Marlena | |||
| 3 | Comment of event | Comment | Reil, Marlena | |||
| 4 | netCDF file | netCDF | Reil, Marlena | IR temperature data | ||
| 5 | netCDF file (File Size) | netCDF (Size) | Bytes | Reil, Marlena | IR temperature data | |
| 6 | netCDF file | netCDF | Reil, Marlena | surface type classifications |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
26 data points