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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ftdatacite:10.6084/m9.figshare.14101823 2023-05-15T13:37:10+02:00 Exploiting digital imagery for snow surface retrieval on sea ice Steer, Adam 2021 https://dx.doi.org/10.6084/m9.figshare.14101823 https://figshare.com/articles/presentation/Exploiting_digital_imagery_for_snow_surface_retrieval_on_sea_ice/14101823 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 40602 Glaciology FOS Earth and related environmental sciences 40499 Geophysics not elsewhere classified 40599 Oceanography not elsewhere classified Presentation MediaObject article Audiovisual 2021 ftdatacite https://doi.org/10.6084/m9.figshare.14101823 2021-11-05T12:55:41Z 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 Sea ice DataCite Metadata Store (German National Library of Science and Technology) Antarctic Austral |
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DataCite Metadata Store (German National Library of Science and Technology) |
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unknown |
topic |
40602 Glaciology FOS Earth and related environmental sciences 40499 Geophysics not elsewhere classified 40599 Oceanography not elsewhere classified |
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40602 Glaciology FOS Earth and related environmental sciences 40499 Geophysics not elsewhere classified 40599 Oceanography not elsewhere classified Steer, Adam Exploiting digital imagery for snow surface retrieval on sea ice |
topic_facet |
40602 Glaciology FOS Earth and related environmental sciences 40499 Geophysics not elsewhere classified 40599 Oceanography not elsewhere classified |
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 |
Steer, Adam |
author_facet |
Steer, Adam |
author_sort |
Steer, Adam |
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 |
publisher |
figshare |
publishDate |
2021 |
url |
https://dx.doi.org/10.6084/m9.figshare.14101823 https://figshare.com/articles/presentation/Exploiting_digital_imagery_for_snow_surface_retrieval_on_sea_ice/14101823 |
geographic |
Antarctic Austral |
geographic_facet |
Antarctic Austral |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.14101823 |
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1766088809831727104 |