Sermilik, Greenland 3D iceberg data, summer 2017-2019 ...

This dataset is comprised of raw on-iceberg Geographic Positioning System (GPS) data, sound-speed corrected iceberg subsurface multibeam data (not corrected for iceberg movement), and iceberg surface three dimensional (3D) point clouds, constructed using structure from motion (SFM) of drone imagery....

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Bibliographic Details
Main Authors: Schild, Kristin, Sutherland, David, Elosegui, Pedro, Duncan, Daniel
Format: Dataset
Language:English
Published: NSF Arctic Data Center 2021
Subjects:
Icebergs
GPS
Drone
Multibeam
Point cloud
Structure from Motion
Greenland
Sutherland
East Greenland
North Atlantic
Sermilik
Online Access:https://dx.doi.org/10.18739/a2kp7ts5n
https://arcticdata.io/catalog/view/doi:10.18739/A2KP7TS5N
Description
Summary:This dataset is comprised of raw on-iceberg Geographic Positioning System (GPS) data, sound-speed corrected iceberg subsurface multibeam data (not corrected for iceberg movement), and iceberg surface three dimensional (3D) point clouds, constructed using structure from motion (SFM) of drone imagery. Data were collected during the summers of 2017, 2018, and 2019 in Sermilik Fjord, East Greenland. Processing methods for these data are explained in the manuscript 'Measurements of iceberg melt rates using high-resolution GPS and iceberg surface scans' by Kristin M. Schild, David A. Sutherland, Pedro Elosegui and Daniel Duncan, published in Geophysical Research Letters in 2021 (doi: 10.1029/2020GL089765). The abstract and plain language summary (focusing solely on 2 of the 2017 icebergs) for that paper are included below. Abstract Increasing freshwater input to the subpolar North Atlantic through iceberg melting can influence fjord-scale to basin-scale ocean circulation. However, the magnitude, timing, and ...

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