Exploiting digital imagery for snow surface retrieval on sea ice

We show how imagery from uncalibrated airborne cameras can be used to reconstruct the snow/air interface on Antarctic sea ice, using data collected on the SIPEX-II research voyage during austral spring 2012. Imagery collected by an airborne surveying package was used to develop a 3D surface model us...

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Bibliographic Details
Main Author: Adam Steer (9237011)
Format: Conference Object
Language:unknown
Published: 2021
Subjects:
Online Access:https://doi.org/10.6084/m9.figshare.14101823.v1
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spelling ftsmithonian:oai:figshare.com:article/14101823 2023-05-15T13:35:56+02:00 Exploiting digital imagery for snow surface retrieval on sea ice Adam Steer (9237011) 2021-02-24T09:12:47Z https://doi.org/10.6084/m9.figshare.14101823.v1 unknown https://figshare.com/articles/presentation/Exploiting_digital_imagery_for_snow_surface_retrieval_on_sea_ice/14101823 doi:10.6084/m9.figshare.14101823.v1 CC BY 4.0 CC-BY Geophysics not elsewhere classified Oceanography not elsewhere classified Glaciology sea ice snow topography photogrammetry east Antarctica Text Presentation 2021 ftsmithonian https://doi.org/10.6084/m9.figshare.14101823.v1 2021-02-26T10:41:15Z We show how imagery from uncalibrated airborne cameras can be used to reconstruct the snow/air interface on Antarctic sea ice, using data collected on the SIPEX-II research voyage during austral spring 2012. Imagery collected by an airborne surveying package was used to develop a 3D surface model using a structure-from-motion approach. This model was validated using coincident airborne LiDAR and in situ observation of total freeboard. Our study demonstrates that equivalent surveys may be obtained using unmanned vehicles (drones) carrying only a camera and basic navigation equipment. Using this method, detailed floe-to-multifloe scale models of snow topography may be derived without logistically intensive airborne surveying programs. In turn, this allows for quick repeat surveys - simplifying the capture of a surface topography time series at any given field research site. It also allows for highly detailed analysis of relationships between surface features and how the evolve over time. Finally, we show how different surveying scenarios affect data quality and the ability to easily co-register surface models with other coincident datasets. We discuss how future surveys should be planned, which data need to be collected alongside the imagery used to generate 3D models, and where future development should be aimed at in terms of uncertainty computations and data quality assessment. Conference Object Antarc* Antarctic Antarctica East Antarctica Sea ice Unknown Antarctic East Antarctica Austral
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Geophysics not elsewhere classified
Oceanography not elsewhere classified
Glaciology
sea ice
snow
topography
photogrammetry
east Antarctica
spellingShingle Geophysics not elsewhere classified
Oceanography not elsewhere classified
Glaciology
sea ice
snow
topography
photogrammetry
east Antarctica
Adam Steer (9237011)
Exploiting digital imagery for snow surface retrieval on sea ice
topic_facet Geophysics not elsewhere classified
Oceanography not elsewhere classified
Glaciology
sea ice
snow
topography
photogrammetry
east Antarctica
description We show how imagery from uncalibrated airborne cameras can be used to reconstruct the snow/air interface on Antarctic sea ice, using data collected on the SIPEX-II research voyage during austral spring 2012. Imagery collected by an airborne surveying package was used to develop a 3D surface model using a structure-from-motion approach. This model was validated using coincident airborne LiDAR and in situ observation of total freeboard. Our study demonstrates that equivalent surveys may be obtained using unmanned vehicles (drones) carrying only a camera and basic navigation equipment. Using this method, detailed floe-to-multifloe scale models of snow topography may be derived without logistically intensive airborne surveying programs. In turn, this allows for quick repeat surveys - simplifying the capture of a surface topography time series at any given field research site. It also allows for highly detailed analysis of relationships between surface features and how the evolve over time. Finally, we show how different surveying scenarios affect data quality and the ability to easily co-register surface models with other coincident datasets. We discuss how future surveys should be planned, which data need to be collected alongside the imagery used to generate 3D models, and where future development should be aimed at in terms of uncertainty computations and data quality assessment.
format Conference Object
author Adam Steer (9237011)
author_facet Adam Steer (9237011)
author_sort Adam Steer (9237011)
title Exploiting digital imagery for snow surface retrieval on sea ice
title_short Exploiting digital imagery for snow surface retrieval on sea ice
title_full Exploiting digital imagery for snow surface retrieval on sea ice
title_fullStr Exploiting digital imagery for snow surface retrieval on sea ice
title_full_unstemmed Exploiting digital imagery for snow surface retrieval on sea ice
title_sort exploiting digital imagery for snow surface retrieval on sea ice
publishDate 2021
url https://doi.org/10.6084/m9.figshare.14101823.v1
geographic Antarctic
East Antarctica
Austral
geographic_facet Antarctic
East Antarctica
Austral
genre Antarc*
Antarctic
Antarctica
East Antarctica
Sea ice
genre_facet Antarc*
Antarctic
Antarctica
East Antarctica
Sea ice
op_relation https://figshare.com/articles/presentation/Exploiting_digital_imagery_for_snow_surface_retrieval_on_sea_ice/14101823
doi:10.6084/m9.figshare.14101823.v1
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.14101823.v1
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