Estimating melt pond bathymetry from aerial images using photogrammetry
Melt ponds play a key role for the summery energy budget of the Arctic sea-ice surface. Observational data that enable an integrated understanding and improved formulation of the thermodynamic and hydrological pond system in global climate models are spatially and temporally limited. Previous studie...
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ftawi:oai:epic.awi.de:54051 2024-09-15T18:34:41+00:00 Estimating melt pond bathymetry from aerial images using photogrammetry Fuchs, Niels König, Marcel Birnbaum, Gerit 2021-04-26 https://epic.awi.de/id/eprint/54051/ https://doi.org/10.5194/egusphere-egu21-10214 https://hdl.handle.net/10013/epic.bc49fdda-591d-4cd9-a980-f7674364233a unknown Fuchs, N. orcid:0000-0001-8536-6877 , König, M. orcid:0000-0002-7617-888X and Birnbaum, G. (2021) Estimating melt pond bathymetry from aerial images using photogrammetry , EGU2021 . doi:10.5194/egusphere-egu21-10214 <https://doi.org/10.5194/egusphere-egu21-10214> , hdl:10013/epic.bc49fdda-591d-4cd9-a980-f7674364233a EPIC3EGU2021, Estimating melt pond bathymetry from aerial images using photogrammetry Conference notRev 2021 ftawi https://doi.org/10.5194/egusphere-egu21-10214 2024-06-24T04:26:11Z Melt ponds play a key role for the summery energy budget of the Arctic sea-ice surface. Observational data that enable an integrated understanding and improved formulation of the thermodynamic and hydrological pond system in global climate models are spatially and temporally limited. Previous studies of shallow water bathymetry of riverbeds and lakes, experimental studies above sea ice and increasing availability of high-resolution aerial sea ice imagery motivated us to investigate the possibilities to derive pond bathymetry from photogrammetric multi-view reconstruction of the summery ice surface topography. Based on dedicated flight grids and simple assumptions we were able to obtain pond depth with a mean deviation of 3.5 cm compared to manual in situ observations. The method is independent of pond color and sky conditions, which is an advantage over recently developed radiometric retrieval methods. We present the retrieval algorithm, including requirements to the data recording and survey planning, and a correction method for refraction at the air— pond interface. In addition, we show how the retrieved elevation model synergize with the initial image data to retrieve the water level of each individual pond from the visually determined pond exterior. The study points out the great potential to derive geometric and radiometric properties of the sea-ice surface emerging from the increasingly available image data recorded from UAVs or aircraft. Conference Object Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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description |
Melt ponds play a key role for the summery energy budget of the Arctic sea-ice surface. Observational data that enable an integrated understanding and improved formulation of the thermodynamic and hydrological pond system in global climate models are spatially and temporally limited. Previous studies of shallow water bathymetry of riverbeds and lakes, experimental studies above sea ice and increasing availability of high-resolution aerial sea ice imagery motivated us to investigate the possibilities to derive pond bathymetry from photogrammetric multi-view reconstruction of the summery ice surface topography. Based on dedicated flight grids and simple assumptions we were able to obtain pond depth with a mean deviation of 3.5 cm compared to manual in situ observations. The method is independent of pond color and sky conditions, which is an advantage over recently developed radiometric retrieval methods. We present the retrieval algorithm, including requirements to the data recording and survey planning, and a correction method for refraction at the air— pond interface. In addition, we show how the retrieved elevation model synergize with the initial image data to retrieve the water level of each individual pond from the visually determined pond exterior. The study points out the great potential to derive geometric and radiometric properties of the sea-ice surface emerging from the increasingly available image data recorded from UAVs or aircraft. |
format |
Conference Object |
author |
Fuchs, Niels König, Marcel Birnbaum, Gerit |
spellingShingle |
Fuchs, Niels König, Marcel Birnbaum, Gerit Estimating melt pond bathymetry from aerial images using photogrammetry |
author_facet |
Fuchs, Niels König, Marcel Birnbaum, Gerit |
author_sort |
Fuchs, Niels |
title |
Estimating melt pond bathymetry from aerial images using photogrammetry |
title_short |
Estimating melt pond bathymetry from aerial images using photogrammetry |
title_full |
Estimating melt pond bathymetry from aerial images using photogrammetry |
title_fullStr |
Estimating melt pond bathymetry from aerial images using photogrammetry |
title_full_unstemmed |
Estimating melt pond bathymetry from aerial images using photogrammetry |
title_sort |
estimating melt pond bathymetry from aerial images using photogrammetry |
publishDate |
2021 |
url |
https://epic.awi.de/id/eprint/54051/ https://doi.org/10.5194/egusphere-egu21-10214 https://hdl.handle.net/10013/epic.bc49fdda-591d-4cd9-a980-f7674364233a |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
EPIC3EGU2021, Estimating melt pond bathymetry from aerial images using photogrammetry |
op_relation |
Fuchs, N. orcid:0000-0001-8536-6877 , König, M. orcid:0000-0002-7617-888X and Birnbaum, G. (2021) Estimating melt pond bathymetry from aerial images using photogrammetry , EGU2021 . doi:10.5194/egusphere-egu21-10214 <https://doi.org/10.5194/egusphere-egu21-10214> , hdl:10013/epic.bc49fdda-591d-4cd9-a980-f7674364233a |
op_doi |
https://doi.org/10.5194/egusphere-egu21-10214 |
_version_ |
1810476636481519616 |