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Fuchs, Niels; Birnbaum, Gerit (2023): Orthomosaics and surface type classifications of MOSAiC Leg 4 floe (2020-06-30, 2020-07-22) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.949167

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Abstract:
During the MOSAiC expedition, a comprehensive aerial observation program was conducted by the helicopters of the R/V Polarstern. This dataset contains two GeoTiff orthomosaics compiled from aerial RGB images recorded during Leg 4 above the central observatory (CO) on 2020-06-30 and 2020-07-22 and derived surface type classes maps on the leg 4 floe stored in shape file format. The data was processed based on the workflow presented in: https://gitlab.awi.de/nifuchs/pasta-ice. Both orthomosaics were overlaid with the position of the leg 4 floe on 2020-06-30 to facilitate comparison between both. The data is projected to UTM31N (EPSG: 32631) and resampled to a resolution of 0.5m. The aim of this dataset was to retrieve melt pond fraction on the leg 4 floe and give a visual identification for pond locations on both dates.
Keyword(s):
Aerial Images; Classification; melt pond; MOSAiC20192020; MOSAIC-HELI; MOSAiC-ICE; orthomosaic; Sea ice
Related to:
Fuchs, Niels (2021): PASTA-Ice: Proportional Analysis of Surface Types in Arctic Sea Ice Images. GitLab, https://gitlab.awi.de/nifuchs/pasta-ice
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AFMOSAiC-1_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_PS122_00: Multidisciplinary drifting Observatory for the Study of Arctic Climate / MOSAiC
Coverage:
Median Latitude: 81.127840 * Median Longitude: 4.224239 * South-bound Latitude: 80.448089 * West-bound Longitude: -0.569542 * North-bound Latitude: 81.799308 * East-bound Longitude: 8.982544
Date/Time Start: 2020-06-30T07:28:02 * Date/Time End: 2020-07-22T17:30:25
Minimum Elevation: -2635.4 m * Maximum Elevation: -786.4 m
Event(s):
PS122/4_45-36 (PS122_4_45_36_2020063001) * Latitude Start: 81.799308 * Longitude Start: 8.982544 * Latitude End: 81.796719 * Longitude End: 8.981729 * Date/Time Start: 2020-06-30T07:28:02 * Date/Time End: 2020-06-30T09:27:30 * Elevation: -786.4 m * Sensor URI: sensor.awi.de * Location: Arctic Ocean * Campaign: PS122/4 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Helicopter (HELI) * Comment: ALS Floe Map MOSAiC Floe
PS122/4_48-69 (PS122_4_48_69_2020072201) * Latitude Start: 80.467244 * Longitude Start: -0.569542 * Latitude End: 80.448089 * Longitude End: -0.497776 * Date/Time Start: 2020-07-22T15:08:55 * Date/Time End: 2020-07-22T17:30:25 * Elevation: -2635.4 m * Sensor URI: sensor.awi.de * Location: Arctic Ocean * Campaign: PS122/4 (MOSAiC20192020) * Basis: Polarstern * Method/Device: Helicopter (HELI) * Comment: ALS/CAM scan over MOSAiC floe (floe map)
Comment:
The orthomosaic RGB orthomosaics are in GeoTiff format with a resolution of 0.5m.
The surface type polygons zip-files contains surface type classification in Shapefile format, which were retrieved from the orthomosaics. The attribute tables within these files contain an index column, a column with surface class numbers and a column with surface class names: 0-ponds, 1-snow/ice, 2-open water, 3-submerged ice. The latter is defined as ice covered with liquid water located between snow/ice and open water polygons.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventFuchs, Niels
2Geospatial vector, shapefilesShapefileFuchs, Niels
3Geospatial vector, shapefiles (File Size)Shapefile (Size)BytesFuchs, Niels
4Raster graphic, GeoTIFF formatGeoTIFFFuchs, Niels
5Raster graphic, GeoTIFF format (File Size)GeoTIFF (Size)BytesFuchs, Niels
Change history:
2023-05-26T08:58:12 – The previous version contained erroneously the orthomosaic from 20200717 instead of the orthomosaic from 20200722,
Status:
Curation Level: Basic curation (CurationLevelB) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)
Size:
4 data points

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