Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017)

This dataset contains a time series of very high-resolution images of the distal part of Zackenberg River, northeast Greenland. Images were captured using an unmanned aerial vehicle (UAV) immediately before (5 th August 2017), during (6 th August 2017), and after (8 th August 2017) the glacier lake...

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Bibliographic Details
Main Authors: Tomczyk, Aleksandra Magdalena, Ewertowski, Marek Wojciech
Format: Dataset
Language:English
Published: Zenodo 2021
Subjects:
UAV
Online Access:https://dx.doi.org/10.5281/zenodo.4495281
https://zenodo.org/record/4495281
id ftdatacite:10.5281/zenodo.4495281
record_format openpolar
spelling ftdatacite:10.5281/zenodo.4495281 2023-05-15T15:02:08+02:00 Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017) Tomczyk, Aleksandra Magdalena Ewertowski, Marek Wojciech 2021 https://dx.doi.org/10.5281/zenodo.4495281 https://zenodo.org/record/4495281 en eng Zenodo https://dx.doi.org/10.5281/zenodo.4495282 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Unmanned Aerial Vehicle UAV mapping images flood Arctic geomorphology dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.4495281 https://doi.org/10.5281/zenodo.4495282 2021-11-05T12:55:41Z This dataset contains a time series of very high-resolution images of the distal part of Zackenberg River, northeast Greenland. Images were captured using an unmanned aerial vehicle (UAV) immediately before (5 th August 2017), during (6 th August 2017), and after (8 th August 2017) the glacier lake outburst flood. Data cover a 2.1-km-long distal section of Zackenberg river, from the delta to the bridge. Images were captured with high overlap; therefore, they can be processed in photogrammetric software. They are georeferenced using UAV onboard GNSS system and can be coregistered using a model-to-model approach or external ground control points. Images are organized into three zipped files, according to the capture date. Potential applications of the presented dataset include: assessment and quantification of landscape changes as an immediate result of glacier lake outburst flood; long-term monitoring of high-Arctic river valley development (in conjunction with other datasets); establishing a baseline for quantification of geomorphological impacts of future glacier lake outburst floods; assessment of geohazards related to bank erosion and debris flow development (hazards for research station infrastructure – station buildings and bridge); monitoring of permafrost degradation; and modelling flood impacts on river ecosystem, transport capacity, and channel stability. This dataset contains unprocessed images. Photogrammetric products derived from the images (orthomosaics, digital elevation models, hillshade models) and GIS products, which are the results of the geomorphological mapping, can be accessed at: https://doi.org /10.5281/zenodo.4498296 (Tomczyk and Ewertowski, 2021) Tomczyk A.M., Ewertowski M.W., 2021: Before-, during-, and after-flood UAV-generated digital elevation models, orthomosaics, and GIS datasets of the distal part of Zackenberg river, northeast Greenland (August 2017), https://doi.org /10.5281/zenodo.4498296 : The research leading to these results has received funding from the European Union's Horizon 2020 project INTERACT, under grant agreement No. 730938, project number: 119 [ArcticFan]. Dataset Arctic glacier Greenland permafrost Zackenberg DataCite Metadata Store (German National Library of Science and Technology) Arctic Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Unmanned Aerial Vehicle
UAV
mapping
images
flood
Arctic
geomorphology
spellingShingle Unmanned Aerial Vehicle
UAV
mapping
images
flood
Arctic
geomorphology
Tomczyk, Aleksandra Magdalena
Ewertowski, Marek Wojciech
Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017)
topic_facet Unmanned Aerial Vehicle
UAV
mapping
images
flood
Arctic
geomorphology
description This dataset contains a time series of very high-resolution images of the distal part of Zackenberg River, northeast Greenland. Images were captured using an unmanned aerial vehicle (UAV) immediately before (5 th August 2017), during (6 th August 2017), and after (8 th August 2017) the glacier lake outburst flood. Data cover a 2.1-km-long distal section of Zackenberg river, from the delta to the bridge. Images were captured with high overlap; therefore, they can be processed in photogrammetric software. They are georeferenced using UAV onboard GNSS system and can be coregistered using a model-to-model approach or external ground control points. Images are organized into three zipped files, according to the capture date. Potential applications of the presented dataset include: assessment and quantification of landscape changes as an immediate result of glacier lake outburst flood; long-term monitoring of high-Arctic river valley development (in conjunction with other datasets); establishing a baseline for quantification of geomorphological impacts of future glacier lake outburst floods; assessment of geohazards related to bank erosion and debris flow development (hazards for research station infrastructure – station buildings and bridge); monitoring of permafrost degradation; and modelling flood impacts on river ecosystem, transport capacity, and channel stability. This dataset contains unprocessed images. Photogrammetric products derived from the images (orthomosaics, digital elevation models, hillshade models) and GIS products, which are the results of the geomorphological mapping, can be accessed at: https://doi.org /10.5281/zenodo.4498296 (Tomczyk and Ewertowski, 2021) Tomczyk A.M., Ewertowski M.W., 2021: Before-, during-, and after-flood UAV-generated digital elevation models, orthomosaics, and GIS datasets of the distal part of Zackenberg river, northeast Greenland (August 2017), https://doi.org /10.5281/zenodo.4498296 : The research leading to these results has received funding from the European Union's Horizon 2020 project INTERACT, under grant agreement No. 730938, project number: 119 [ArcticFan].
format Dataset
author Tomczyk, Aleksandra Magdalena
Ewertowski, Marek Wojciech
author_facet Tomczyk, Aleksandra Magdalena
Ewertowski, Marek Wojciech
author_sort Tomczyk, Aleksandra Magdalena
title Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017)
title_short Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017)
title_full Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017)
title_fullStr Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017)
title_full_unstemmed Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017)
title_sort before-, during-, and after-flood uav-generated images of the distal part of zackenberg river, northeast greenland (august 2017)
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.4495281
https://zenodo.org/record/4495281
geographic Arctic
Greenland
geographic_facet Arctic
Greenland
genre Arctic
glacier
Greenland
permafrost
Zackenberg
genre_facet Arctic
glacier
Greenland
permafrost
Zackenberg
op_relation https://dx.doi.org/10.5281/zenodo.4495282
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.4495281
https://doi.org/10.5281/zenodo.4495282
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