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...
Main Authors: | , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
2021
|
Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.4495282 |
id |
ftsmithonian:oai:figshare.com:article/13982530 |
---|---|
record_format |
openpolar |
spelling |
ftsmithonian:oai:figshare.com:article/13982530 2023-05-15T15:02:00+02:00 Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017) Tomczyk, Aleksandra Magdalena (10139098) Ewertowski, Marek Wojciech (10139101) 2021-02-02T00:00:00Z https://doi.org/10.5281/zenodo.4495282 unknown https://figshare.com/articles/dataset/Before-_during-_and_after-flood_UAV-generated_images_of_the_distal_part_of_Zackenberg_river_northeast_Greenland_August_2017_/13982530 doi:10.5281/zenodo.4495282 CC BY 4.0 CC-BY Ecology Inorganic Chemistry Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Unmanned Aerial Vehicle UAV mapping images flood Arctic geomorphology Dataset 2021 ftsmithonian https://doi.org/10.5281/zenodo.4495282 2021-02-26T11:29:18Z 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 Dataset Arctic glacier Greenland permafrost Zackenberg Unknown Arctic Greenland |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftsmithonian |
language |
unknown |
topic |
Ecology Inorganic Chemistry Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Unmanned Aerial Vehicle UAV mapping images flood Arctic geomorphology |
spellingShingle |
Ecology Inorganic Chemistry Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Unmanned Aerial Vehicle UAV mapping images flood Arctic geomorphology Tomczyk, Aleksandra Magdalena (10139098) Ewertowski, Marek Wojciech (10139101) Before-, during-, and after-flood UAV-generated images of the distal part of Zackenberg river, northeast Greenland (August 2017) |
topic_facet |
Ecology Inorganic Chemistry Science Policy Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified 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 |
format |
Dataset |
author |
Tomczyk, Aleksandra Magdalena (10139098) Ewertowski, Marek Wojciech (10139101) |
author_facet |
Tomczyk, Aleksandra Magdalena (10139098) Ewertowski, Marek Wojciech (10139101) |
author_sort |
Tomczyk, Aleksandra Magdalena (10139098) |
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) |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.4495282 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic glacier Greenland permafrost Zackenberg |
genre_facet |
Arctic glacier Greenland permafrost Zackenberg |
op_relation |
https://figshare.com/articles/dataset/Before-_during-_and_after-flood_UAV-generated_images_of_the_distal_part_of_Zackenberg_river_northeast_Greenland_August_2017_/13982530 doi:10.5281/zenodo.4495282 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4495282 |
_version_ |
1766334006397239296 |