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  • AC; Airborne Laserscanner (ALS) RIEGL VQ580; Airborne surveys to collect measurements of sea ice thickness in the Arctic; Airborne ultrawideband radar; Aircraft; Arctic; Arctic Ocean; AWI_IceBird; AWI_SeaIce; Bin number; Calculated; Comment; Cryosphere; DATE/TIME; Fast time range per bin; Flag; Flight altitude; Infrared radiation pyrometer, Heitronics, KT19.85II; Internal Navigation System; LATITUDE; LONGITUDE; P6_217_ICEBIRD_2019_1904101401; P6-217_ICEBIRD_2019; PAMARCMIP 2019; Pitch angle; POLAR 6; Reference/source; Refractive index; Roll angle; Sea ice; Sea Ice Physics @ AWI; snow depth; Snow thickness; Snow thickness, uncertainty; Surface temperature; Surface topography, relative  (2)
  • 20191002_01; 20191020_01; 20191029_01; 20191105_01; 20191112_01; 20191112_02; 20191119_01; 20191130_01; 20191206_01; 20191224_01; 20191225_01; 20191228_01; 20191230_01; 20200107_01; 20200107_02; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200116_02; 20200121_01; 20200123_01; 20200123_02; 20200125_01; 20200128_01; 20200202_01; 20200204_01; 20200209_01; 20200212_01; 20200217_01; 20200217_02; 20200227_01; 20200321_01; 20200321_02; 20200423_01; Airborne laser scanning; Arctic; Arctic Ocean; HELI; Helicopter; IceSense; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_1_2_45_2019092801; PS122_4_44_27_2020061101; PS122_4_44_65_2020061502; PS122_4_44_78_2020061601; PS122_4_45_112_2020070401; PS122_4_45_36_2020063001; PS122_4_45_37_2020063002; PS122_4_46_36_2020070701; PS122_4_46_39_2020070703; PS122_4_46_97_2020071101; PS122_4_47_96_2020071701; PS122_4_48_69_2020072201; PS122_4_50_32_2020080601; PS122_4_50_45_2020080701; PS122/1; PS122/1_10-78; PS122/1_2-167; PS122/1_2-45; PS122/1_2-57; PS122/1_5-9; PS122/1_6-11; PS122/1_7-24; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_18-7; PS122/2_19-44; PS122/2_19-45; PS122/2_19-46; PS122/2_19-51; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_20-53; PS122/2_21-122; PS122/2_21-41; PS122/2_21-77; PS122/2_21-78; PS122/2_22-16; PS122/2_22-97; PS122/2_23-109; PS122/2_23-14; PS122/2_24-31; PS122/2_25-7; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-42; PS122/3_32-70; PS122/3_32-71; PS122/3_33-17; PS122/3_35-48; PS122/3_35-49; PS122/3_37-63; PS122/3_37-66; PS122/3_39-109; PS122/4; PS122/4_44-27; PS122/4_44-65; PS122/4_44-78; PS122/4_45-112; PS122/4_45-36; PS122/4_45-37; PS122/4_46-36; PS122/4_46-39; PS122/4_46-97; PS122/4_47-96; PS122/4_48-69; PS122/4_50-32; PS122/4_50-45; PS122/5; PS122/5_59-139; PS122/5_61-190; PS122/5_61-62; PS122/5_61-63; PS122/5_62-166; PS122/5_62-67; PS122/5_63-118; PS122/5_63-3; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation  (1)
  • 20191002_01; Airborne laser scanning; Arctic; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_2-57; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation  (1)
Document type
Keywords
Publisher
Years
  • 1
    facet.materialart.
    Unknown
    Airborne high-altitude snow depth on sea ice during aircraft flight P6_217_ICEBIRD_2019_1904101401, Version 1 (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-17
    Description: Airborne observations of snow depth on sea ice were made in April 2019 during the winter campaign of the AWI IceBird campaign series. The data consist of five surveys, some with overlapping segments at low and high altitude, spanning sea-ice covered areas in the Lincoln Sea, Central Arctic Ocean, as well as the Beaufort Sea. For each flight, the geolocated snow depth data from an airborne frequency-modulated continuous-wave ultrawideband radar using an algorithm based on signal peakiness are provided with a point spacing of approximately 4-5 meters for low-altitude flights and 7-9 meters for high-altitude flights. The trajectory data contain the full and unfiltered data record with quality flags. Longer sections of altitude-flagged data in the low-altitude data arise from calibrations of an EM sensor. Each snow depth value represents the average depth within the radar footprint that has a theoretical smooth surface cross-/along-track diameter of 2.6/1.0 m at low altitude and 7.2/5.1 m at the high altitude.
    Keywords: AC; Airborne Laserscanner (ALS) RIEGL VQ580; Airborne surveys to collect measurements of sea ice thickness in the Arctic; Airborne ultrawideband radar; Aircraft; Arctic; Arctic Ocean; AWI_IceBird; AWI_SeaIce; Bin number; Calculated; Comment; Cryosphere; DATE/TIME; Fast time range per bin; Flag; Flight altitude; Infrared radiation pyrometer, Heitronics, KT19.85II; Internal Navigation System; LATITUDE; LONGITUDE; P6_217_ICEBIRD_2019_1904101401; P6-217_ICEBIRD_2019; PAMARCMIP 2019; Pitch angle; POLAR 6; Reference/source; Refractive index; Roll angle; Sea ice; Sea Ice Physics @ AWI; snow depth; Snow thickness; Snow thickness, uncertainty; Surface temperature; Surface topography, relative
    Type: Dataset
    Format: text/tab-separated-values, 1003293 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Airborne low-altitude snow depth on sea ice during aircraft flight P6_217_ICEBIRD_2019_1904101401, Version 1 (2021)
    PANGAEA
    Details
    Publication Date: 2024-05-17
    Description: Airborne observations of snow depth on sea ice were made in April 2019 during the winter campaign of the AWI IceBird campaign series. The data consist of five surveys, some with overlapping segments at low and high altitude, spanning sea-ice covered areas in the Lincoln Sea, Central Arctic Ocean, as well as the Beaufort Sea. For each flight, the geolocated snow depth data from an airborne frequency-modulated continuous-wave ultrawideband radar using an algorithm based on signal peakiness are provided with a point spacing of approximately 4-5 meters for low-altitude flights and 7-9 meters for high-altitude flights. The trajectory data contain the full and unfiltered data record with quality flags. Longer sections of altitude-flagged data in the low-altitude data arise from calibrations of an EM sensor. Each snow depth value represents the average depth within the radar footprint that has a theoretical smooth surface cross-/along-track diameter of 2.6/1.0 m at low altitude and 7.2/5.1 m at the high altitude.
    Keywords: AC; Airborne Laserscanner (ALS) RIEGL VQ580; Airborne surveys to collect measurements of sea ice thickness in the Arctic; Airborne ultrawideband radar; Aircraft; Arctic; Arctic Ocean; AWI_IceBird; AWI_SeaIce; Bin number; Calculated; Comment; Cryosphere; DATE/TIME; Fast time range per bin; Flag; Flight altitude; Infrared radiation pyrometer, Heitronics, KT19.85II; Internal Navigation System; LATITUDE; LONGITUDE; P6_217_ICEBIRD_2019_1904101401; P6-217_ICEBIRD_2019; PAMARCMIP 2019; Pitch angle; POLAR 6; Reference/source; Refractive index; Roll angle; Sea ice; Sea Ice Physics @ AWI; snow depth; Snow thickness; Snow thickness, uncertainty; Surface temperature; Surface topography, relative
    Type: Dataset
    Format: text/tab-separated-values, 1768688 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition, version 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-01
    Description: This data set provides high-resolution geolocated point clouds of sea-ice or snow surface elevation for mapping temporal and spatial evolution of sea-ice conditions such as freeboard, roughness, or the size and spatial distributions of surface features. The surface elevation data are referenced to the DTU21 mean sea surface height and are not corrected for sea-ice drift during acquisition. The data were collected using a near-infrared, line-scanning Riegl VQ-580 airborne laser scanner (hdl:10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31 & hdl:10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550) mounted in a helicopter along the MOSAiC drift from the north of the Laptev Sea, across the central Arctic Ocean, and towards the Fram Strait from September 2019 to October 2020. The flights are both small scale, ~5x5 km grid patterns mainly over the central observatory, and large scale, few tens of km away from RV Polarstern, triangle patterns, or transects. The point cloud data are stored in 5-min along-track segments in a custom binary format, for which we provide a python-based parsing tool in awi-als-toolbox (https://github.com/awi-als-toolbox/awi-als-toolbox), together with corresponding metadata json and line-shot quicklook png files. The point cloud data includes as variables: surface elevation (referenced to DTU mean sea surface height), surface reflectance, and echo width. The degraded GPS altitude data 〉85°N may cause undulations in the along-track surface elevations, which are not corrected for in this data product.
    Keywords: 20191002_01; 20191020_01; 20191029_01; 20191105_01; 20191112_01; 20191112_02; 20191119_01; 20191130_01; 20191206_01; 20191224_01; 20191225_01; 20191228_01; 20191230_01; 20200107_01; 20200107_02; 20200108_01; 20200108_03; 20200108_04; 20200116_01; 20200116_02; 20200121_01; 20200123_01; 20200123_02; 20200125_01; 20200128_01; 20200202_01; 20200204_01; 20200209_01; 20200212_01; 20200217_01; 20200217_02; 20200227_01; 20200321_01; 20200321_02; 20200423_01; Airborne laser scanning; Arctic; Arctic Ocean; HELI; Helicopter; IceSense; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122_1_2_45_2019092801; PS122_4_44_27_2020061101; PS122_4_44_65_2020061502; PS122_4_44_78_2020061601; PS122_4_45_112_2020070401; PS122_4_45_36_2020063001; PS122_4_45_37_2020063002; PS122_4_46_36_2020070701; PS122_4_46_39_2020070703; PS122_4_46_97_2020071101; PS122_4_47_96_2020071701; PS122_4_48_69_2020072201; PS122_4_50_32_2020080601; PS122_4_50_45_2020080701; PS122/1; PS122/1_10-78; PS122/1_2-167; PS122/1_2-45; PS122/1_2-57; PS122/1_5-9; PS122/1_6-11; PS122/1_7-24; PS122/1_7-25; PS122/1_8-23; PS122/1_9-98; PS122/2; PS122/2_17-101; PS122/2_17-98; PS122/2_17-99; PS122/2_18-7; PS122/2_19-44; PS122/2_19-45; PS122/2_19-46; PS122/2_19-51; PS122/2_19-52; PS122/2_19-53; PS122/2_20-52; PS122/2_20-53; PS122/2_21-122; PS122/2_21-41; PS122/2_21-77; PS122/2_21-78; PS122/2_22-16; PS122/2_22-97; PS122/2_23-109; PS122/2_23-14; PS122/2_24-31; PS122/2_25-7; PS122/2_25-8; PS122/3; PS122/3_29-49; PS122/3_32-42; PS122/3_32-70; PS122/3_32-71; PS122/3_33-17; PS122/3_35-48; PS122/3_35-49; PS122/3_37-63; PS122/3_37-66; PS122/3_39-109; PS122/4; PS122/4_44-27; PS122/4_44-65; PS122/4_44-78; PS122/4_45-112; PS122/4_45-36; PS122/4_45-37; PS122/4_46-36; PS122/4_46-39; PS122/4_46-97; PS122/4_47-96; PS122/4_48-69; PS122/4_50-32; PS122/4_50-45; PS122/5; PS122/5_59-139; PS122/5_61-190; PS122/5_61-62; PS122/5_61-63; PS122/5_62-166; PS122/5_62-67; PS122/5_63-118; PS122/5_63-3; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: application/zip, 64 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20191002_01, version 1 (2023)
    PANGAEA
    Details
    Publication Date: 2024-07-01
    Description: This data set provides high-resolution geolocated point clouds of sea-ice or snow surface elevation for mapping temporal and spatial evolution of sea-ice conditions such as freeboard, roughness, or the size and spatial distributions of surface features. The surface elevation data are referenced to the DTU21 mean sea surface height and are not corrected for sea-ice drift during acquisition. The data were collected using a near-infrared, line-scanning Riegl VQ-580 airborne laser scanner (hdl:10013/sensor.7ebb63c3-dc3b-4f0f-9ca5-f1c6e5462a31 & hdl:10013/sensor.7a931b33-72ca-46d0-b623-156836ac9550) mounted in a helicopter along the MOSAiC drift from the north of the Laptev Sea, across the central Arctic Ocean, and towards the Fram Strait from September 2019 to October 2020. The flights are both small scale, ~5x5 km grid patterns mainly over the central observatory, and large scale, few tens of km away from RV Polarstern, triangle patterns, or transects. The point cloud data are stored in 5-min along-track segments in a custom binary format, for which we provide a python-based parsing tool in awi-als-toolbox (https://github.com/awi-als-toolbox/awi-als-toolbox), together with corresponding metadata json and line-shot quicklook png files. The point cloud data includes as variables: surface elevation (referenced to DTU mean sea surface height), surface reflectance, and echo width. The degraded GPS altitude data 〉85°N may cause undulations in the along-track surface elevations, which are not corrected for in this data product.
    Keywords: 20191002_01; Airborne laser scanning; Arctic; Binary Object; DATE/TIME; Flight number; HELI; Helicopter; IceSense; LATITUDE; LONGITUDE; MOSAiC; MOSAiC20192020; MOSAIC-HELI; Multidisciplinary drifting Observatory for the Study of Arctic Climate; Polarstern; PS122/1; PS122/1_2-57; Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties; Sea ice; Surface Elevation
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
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