Geolocated sea-ice or snow surface elevation point cloud segments from helicopter-borne laser scanner during the MOSAiC expedition flight 20200807_01, version 1

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 t...

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Bibliographic Details
Main Authors: Jutila, Arttu, Hendricks, Stefan, Birnbaum, Gerit, von Albedyll, Luisa, Ricker, Robert, Helm, Veit, Hutter, Nils, Haas, Christian
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
Airborne laser scanning
Arctic
Arctic Ocean
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_4_50_45_2020080701
PS122/4
PS122/4_50-45
Remote Sensing of the Seasonal Evolution of Climate-relevant Sea Ice Properties
Sea ice
Surface Elevation
Laptev Sea
Elevation Point
Fram Strait
laptev
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.950951
https://doi.org/10.1594/PANGAEA.950951
Description
Summary: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.

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