Drone-based mapping of surging glaciers in Rindersbukta, Svalbard ...

This database contains drone-based mapping data of three surging glaciers in Rindersbukta, Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape (version 1.8.5) and the processed data consists o...

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Main Author: Hann, Richard
Format: Dataset
Language:unknown
Published: DataverseNO 2024
Subjects:
Online Access:https://dx.doi.org/10.18710/ibbsgd
https://dataverse.no/citation?persistentId=doi:10.18710/IBBSGD
id ftdatacite:10.18710/ibbsgd
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spelling ftdatacite:10.18710/ibbsgd 2024-03-31T07:52:55+00:00 Drone-based mapping of surging glaciers in Rindersbukta, Svalbard ... Hann, Richard 2024 https://dx.doi.org/10.18710/ibbsgd https://dataverse.no/citation?persistentId=doi:10.18710/IBBSGD unknown DataverseNO https://dx.doi.org/10.18710/ibbsgd/7orymp https://dx.doi.org/10.18710/ibbsgd/nwapuf https://dx.doi.org/10.18710/ibbsgd/z9ejqs https://dx.doi.org/10.18710/ibbsgd/quprlx https://dx.doi.org/10.18710/ibbsgd/hb6ngi https://dx.doi.org/10.18710/ibbsgd/t6jlwb https://dx.doi.org/10.18710/ibbsgd/ysqmxa https://dx.doi.org/10.18710/ibbsgd/fi4yux https://dx.doi.org/10.18710/ibbsgd/qp4krp https://dx.doi.org/10.18710/ibbsgd/gfs9ag https://dx.doi.org/10.18710/ibbsgd/goz4po https://dx.doi.org/10.18710/ibbsgd/kv65kj https://dx.doi.org/10.18710/ibbsgd/m3mgt2 https://dx.doi.org/10.18710/ibbsgd/kji7xg https://dx.doi.org/10.18710/ibbsgd/9xn9ib https://dx.doi.org/10.18710/ibbsgd/u0hmdv https://dx.doi.org/10.18710/ibbsgd/2qvmqw dataset Dataset 2024 ftdatacite https://doi.org/10.18710/ibbsgd10.18710/ibbsgd/7orymp10.18710/ibbsgd/nwapuf10.18710/ibbsgd/z9ejqs10.18710/ibbsgd/quprlx10.18710/ibbsgd/hb6ngi10.18710/ibbsgd/t6jlwb10.18710/ibbsgd/ysqmxa10.18710/ibbsgd/fi4yux10.18710/ibbsgd/qp4krp10.18710/ibbsgd/gfs9ag10.1 2024-03-04T12:16:04Z This database contains drone-based mapping data of three surging glaciers in Rindersbukta, Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape (version 1.8.5) and the processed data consists of digital elevation models (DEMs) in georeferenced .TIF file format, orthomosaic maps in georeferenced .TIF, .JPG, and .PNG file format, and textured 3D models in .STL and .OBJ/.MTL/.JPG file format. In addition, a process report in archived .PDF file format is included for each dataset. Mapping was conducted with a DJI Mavic 2 Pro Enterprise. The mapping area cover the crevassed glacier fronts. Data collection was conducted during Spring 2022 (19.04-23.04.2022). The following glaciers are mapped: Scheelebreen, Vallåkrabreen, and Paulabreen. For Vallåkrabreen, two different datasets are available, where the "bulge" datasets only contains the area of the surge buldge, whereas the other dataset contains the entire ... Dataset glacier glacier Svalbard DataCite Metadata Store (German National Library of Science and Technology) Norway Paulabreen ENVELOPE(17.227,17.227,77.755,77.755) Rindersbukta ENVELOPE(16.868,16.868,77.817,77.817) Scheelebreen ENVELOPE(17.000,17.000,77.717,77.717) Svalbard Vallåkrabreen ENVELOPE(16.983,16.983,77.817,77.817)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This database contains drone-based mapping data of three surging glaciers in Rindersbukta, Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape (version 1.8.5) and the processed data consists of digital elevation models (DEMs) in georeferenced .TIF file format, orthomosaic maps in georeferenced .TIF, .JPG, and .PNG file format, and textured 3D models in .STL and .OBJ/.MTL/.JPG file format. In addition, a process report in archived .PDF file format is included for each dataset. Mapping was conducted with a DJI Mavic 2 Pro Enterprise. The mapping area cover the crevassed glacier fronts. Data collection was conducted during Spring 2022 (19.04-23.04.2022). The following glaciers are mapped: Scheelebreen, Vallåkrabreen, and Paulabreen. For Vallåkrabreen, two different datasets are available, where the "bulge" datasets only contains the area of the surge buldge, whereas the other dataset contains the entire ...
format Dataset
author Hann, Richard
spellingShingle Hann, Richard
Drone-based mapping of surging glaciers in Rindersbukta, Svalbard ...
author_facet Hann, Richard
author_sort Hann, Richard
title Drone-based mapping of surging glaciers in Rindersbukta, Svalbard ...
title_short Drone-based mapping of surging glaciers in Rindersbukta, Svalbard ...
title_full Drone-based mapping of surging glaciers in Rindersbukta, Svalbard ...
title_fullStr Drone-based mapping of surging glaciers in Rindersbukta, Svalbard ...
title_full_unstemmed Drone-based mapping of surging glaciers in Rindersbukta, Svalbard ...
title_sort drone-based mapping of surging glaciers in rindersbukta, svalbard ...
publisher DataverseNO
publishDate 2024
url https://dx.doi.org/10.18710/ibbsgd
https://dataverse.no/citation?persistentId=doi:10.18710/IBBSGD
long_lat ENVELOPE(17.227,17.227,77.755,77.755)
ENVELOPE(16.868,16.868,77.817,77.817)
ENVELOPE(17.000,17.000,77.717,77.717)
ENVELOPE(16.983,16.983,77.817,77.817)
geographic Norway
Paulabreen
Rindersbukta
Scheelebreen
Svalbard
Vallåkrabreen
geographic_facet Norway
Paulabreen
Rindersbukta
Scheelebreen
Svalbard
Vallåkrabreen
genre glacier
glacier
Svalbard
genre_facet glacier
glacier
Svalbard
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