3D mesh model and raw images of a drifting iceberg in Nuup Kangerlua (Godthåbsfjord), SW Greenland on 22 August 2017

This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Nuup Kangerlua (Godthåbsfjord) in southwest Greenland on 17August 2017. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image al...

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Bibliographic Details
Main Authors: Carlson, Daniel F., Treier, Urs
Format: Other/Unknown Material
Language:English
Published: Zenodo 2020
Subjects:
UAV
Online Access:https://doi.org/10.5281/zenodo.4309843
id ftzenodo:oai:zenodo.org:4309843
record_format openpolar
spelling ftzenodo:oai:zenodo.org:4309843 2024-09-15T18:08:10+00:00 3D mesh model and raw images of a drifting iceberg in Nuup Kangerlua (Godthåbsfjord), SW Greenland on 22 August 2017 Carlson, Daniel F. Treier, Urs 2020-12-07 https://doi.org/10.5281/zenodo.4309843 eng eng Zenodo https://zenodo.org/communities/greenmardata https://doi.org/10.5281/zenodo.4309842 https://doi.org/10.5281/zenodo.4309843 oai:zenodo.org:4309843 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Greenland Iceberg Structure from Motion Photogrammetry 3D model drone UAV info:eu-repo/semantics/other 2020 ftzenodo https://doi.org/10.5281/zenodo.430984310.5281/zenodo.4309842 2024-07-25T18:55:53Z This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Nuup Kangerlua (Godthåbsfjord) in southwest Greenland on 17August 2017. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_659-662 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to Remote Sensing. Other/Unknown Material Godthåbsfjord Greenland Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic Greenland
Iceberg
Structure from Motion Photogrammetry
3D model
drone
UAV
spellingShingle Greenland
Iceberg
Structure from Motion Photogrammetry
3D model
drone
UAV
Carlson, Daniel F.
Treier, Urs
3D mesh model and raw images of a drifting iceberg in Nuup Kangerlua (Godthåbsfjord), SW Greenland on 22 August 2017
topic_facet Greenland
Iceberg
Structure from Motion Photogrammetry
3D model
drone
UAV
description This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Nuup Kangerlua (Godthåbsfjord) in southwest Greenland on 17August 2017. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_659-662 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to Remote Sensing.
format Other/Unknown Material
author Carlson, Daniel F.
Treier, Urs
author_facet Carlson, Daniel F.
Treier, Urs
author_sort Carlson, Daniel F.
title 3D mesh model and raw images of a drifting iceberg in Nuup Kangerlua (Godthåbsfjord), SW Greenland on 22 August 2017
title_short 3D mesh model and raw images of a drifting iceberg in Nuup Kangerlua (Godthåbsfjord), SW Greenland on 22 August 2017
title_full 3D mesh model and raw images of a drifting iceberg in Nuup Kangerlua (Godthåbsfjord), SW Greenland on 22 August 2017
title_fullStr 3D mesh model and raw images of a drifting iceberg in Nuup Kangerlua (Godthåbsfjord), SW Greenland on 22 August 2017
title_full_unstemmed 3D mesh model and raw images of a drifting iceberg in Nuup Kangerlua (Godthåbsfjord), SW Greenland on 22 August 2017
title_sort 3d mesh model and raw images of a drifting iceberg in nuup kangerlua (godthåbsfjord), sw greenland on 22 august 2017
publisher Zenodo
publishDate 2020
url https://doi.org/10.5281/zenodo.4309843
genre Godthåbsfjord
Greenland
genre_facet Godthåbsfjord
Greenland
op_relation https://zenodo.org/communities/greenmardata
https://doi.org/10.5281/zenodo.4309842
https://doi.org/10.5281/zenodo.4309843
oai:zenodo.org:4309843
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.430984310.5281/zenodo.4309842
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