Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe ...
A newly developed method to derive melt pond bathymetry from aerial images allowed us to compile spatially fully resolved maps of pond depth on the MOSAiC floe from three measurement flights on 30 June, 17 July, and 22 July 2020. The pond bathymetry maps provide an unprecedented comprehensive insigh...
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Online Access: | https://dx.doi.org/10.1594/pangaea.964520 https://doi.pangaea.de/10.1594/PANGAEA.964520 |
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ftdatacite:10.1594/pangaea.964520 2024-09-15T18:35:15+00:00 Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe ... Fuchs, Niels Birnbaum, Gerit 2024 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.964520 https://doi.pangaea.de/10.1594/PANGAEA.964520 en eng PANGAEA https://dx.doi.org/10.5194/egusphere-2023-2859 https://dx.doi.org/10.1594/pangaea.949433 https://dx.doi.org/10.26092/elib/2249 https://dx.doi.org/10.5281/zenodo.7548469 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Aerial Images melt pond melt pond depth MOSAiC20192020 Photogrammetry pond bathymetry Sea ice Event label DATE/TIME Raster graphic, GeoTIFF format Raster graphic, GeoTIFF format File Size Helicopter PS122/4 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC dataset Dataset 2024 ftdatacite https://doi.org/10.1594/pangaea.96452010.5194/egusphere-2023-285910.1594/pangaea.94943310.26092/elib/224910.5281/zenodo.7548469 2024-08-01T11:15:14Z A newly developed method to derive melt pond bathymetry from aerial images allowed us to compile spatially fully resolved maps of pond depth on the MOSAiC floe from three measurement flights on 30 June, 17 July, and 22 July 2020. The pond bathymetry maps provide an unprecedented comprehensive insight into the spatial and temporal development of ponds and their geometry. They were derived to better understand pond evolution, determine the volume of water contained in the ponds, and eventually obtain improved parameterizations for ponds. The data is provided in GeoTIFF raster format, with every pixel in ponds containing the depth at that location in meters, downward negative. Pond bathymetry was calculated from orthomosaics and digital elevation models processed from helicopter aerial images collected on MOSAiC floe grid surveys.Pond bathymetry is stored in GeoTIFFs, containing pond depth in meters, in the negative downward direction. Only regions classified as ponds with the classification algorithm PASTA-ice ... Dataset Sea ice DataCite |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
English |
topic |
Aerial Images melt pond melt pond depth MOSAiC20192020 Photogrammetry pond bathymetry Sea ice Event label DATE/TIME Raster graphic, GeoTIFF format Raster graphic, GeoTIFF format File Size Helicopter PS122/4 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
spellingShingle |
Aerial Images melt pond melt pond depth MOSAiC20192020 Photogrammetry pond bathymetry Sea ice Event label DATE/TIME Raster graphic, GeoTIFF format Raster graphic, GeoTIFF format File Size Helicopter PS122/4 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Fuchs, Niels Birnbaum, Gerit Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe ... |
topic_facet |
Aerial Images melt pond melt pond depth MOSAiC20192020 Photogrammetry pond bathymetry Sea ice Event label DATE/TIME Raster graphic, GeoTIFF format Raster graphic, GeoTIFF format File Size Helicopter PS122/4 Polarstern Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
description |
A newly developed method to derive melt pond bathymetry from aerial images allowed us to compile spatially fully resolved maps of pond depth on the MOSAiC floe from three measurement flights on 30 June, 17 July, and 22 July 2020. The pond bathymetry maps provide an unprecedented comprehensive insight into the spatial and temporal development of ponds and their geometry. They were derived to better understand pond evolution, determine the volume of water contained in the ponds, and eventually obtain improved parameterizations for ponds. The data is provided in GeoTIFF raster format, with every pixel in ponds containing the depth at that location in meters, downward negative. Pond bathymetry was calculated from orthomosaics and digital elevation models processed from helicopter aerial images collected on MOSAiC floe grid surveys.Pond bathymetry is stored in GeoTIFFs, containing pond depth in meters, in the negative downward direction. Only regions classified as ponds with the classification algorithm PASTA-ice ... |
format |
Dataset |
author |
Fuchs, Niels Birnbaum, Gerit |
author_facet |
Fuchs, Niels Birnbaum, Gerit |
author_sort |
Fuchs, Niels |
title |
Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe ... |
title_short |
Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe ... |
title_full |
Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe ... |
title_fullStr |
Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe ... |
title_full_unstemmed |
Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe ... |
title_sort |
melt pond bathymetry of the mosaic floe derived by photogrammetry - spatially fully resolved pond depth maps of an arctic sea ice floe ... |
publisher |
PANGAEA |
publishDate |
2024 |
url |
https://dx.doi.org/10.1594/pangaea.964520 https://doi.pangaea.de/10.1594/PANGAEA.964520 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.5194/egusphere-2023-2859 https://dx.doi.org/10.1594/pangaea.949433 https://dx.doi.org/10.26092/elib/2249 https://dx.doi.org/10.5281/zenodo.7548469 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.96452010.5194/egusphere-2023-285910.1594/pangaea.94943310.26092/elib/224910.5281/zenodo.7548469 |
_version_ |
1810478281630154752 |