A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data
Melt ponds are key elements in the energy balance of Arctic sea ice. Observing their temporal evolution is crucial for understanding melt processes and predicting sea ice evolution. Remote sensing is the only technique that enables large-scale observations of Arctic sea ice. However, monitoring melt...
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ftunivkiel:oai:macau.uni-kiel.de:macau_mods_00002757 2024-06-23T07:45:07+00:00 A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data König, Marcel Oppelt, Natascha 2020 https://doi.org/10.5194/tc-14-2567-2020 https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2022-00339-6 https://macau.uni-kiel.de/receive/macau_mods_00002757 https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/macau_derivate_00003883/tc-14-2567-2020.pdf eng eng The Cryosphere : TC an interactive open access journal of the European Geosciences Union -- ˜Theœ Cryosphere -- 1994-0424 https://doi.org/10.5194/tc-14-2567-2020 https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2022-00339-6 https://macau.uni-kiel.de/receive/macau_mods_00002757 https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/macau_derivate_00003883/tc-14-2567-2020.pdf https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess article ScholarlyArticle ddc:550 Published Version arctic sea ice pond depth meltwater hyperspectral remote sensors article Text doc-type:Article 2020 ftunivkiel https://doi.org/10.5194/tc-14-2567-2020 2024-06-12T14:18:24Z Melt ponds are key elements in the energy balance of Arctic sea ice. Observing their temporal evolution is crucial for understanding melt processes and predicting sea ice evolution. Remote sensing is the only technique that enables large-scale observations of Arctic sea ice. However, monitoring melt pond deepening in this way is challenging because most of the optical signal reflected by a pond is defined by the scattering characteristics of the underlying ice. Without knowing the influence of meltwater on the reflected signal, the water depth cannot be determined. To solve the problem, we simulated the way meltwater changes the reflected spectra of bare ice. We developed a model based on the slope of the log-scaled remote sensing reflectance at 710 nm as a function of depth that is widely independent from the bottom albedo and accounts for the influence of varying solar zenith angles. We validated the model using 49 in situ melt pond spectra and corresponding depths from shallow ponds on dark and bright ice. Retrieved pond depths are accurate (root mean square error, RMSE=2.81 cm; nRMSE=16 %) and highly correlated with in situ measurements (r=0.89; p=4.34×10−17) Article in Journal/Newspaper albedo Arctic Sea ice The Cryosphere MACAU: Open Access Repository of Kiel University Arctic The Cryosphere 14 8 2567 2579 |
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MACAU: Open Access Repository of Kiel University |
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ftunivkiel |
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English |
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article ScholarlyArticle ddc:550 Published Version arctic sea ice pond depth meltwater hyperspectral remote sensors |
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article ScholarlyArticle ddc:550 Published Version arctic sea ice pond depth meltwater hyperspectral remote sensors König, Marcel Oppelt, Natascha A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data |
topic_facet |
article ScholarlyArticle ddc:550 Published Version arctic sea ice pond depth meltwater hyperspectral remote sensors |
description |
Melt ponds are key elements in the energy balance of Arctic sea ice. Observing their temporal evolution is crucial for understanding melt processes and predicting sea ice evolution. Remote sensing is the only technique that enables large-scale observations of Arctic sea ice. However, monitoring melt pond deepening in this way is challenging because most of the optical signal reflected by a pond is defined by the scattering characteristics of the underlying ice. Without knowing the influence of meltwater on the reflected signal, the water depth cannot be determined. To solve the problem, we simulated the way meltwater changes the reflected spectra of bare ice. We developed a model based on the slope of the log-scaled remote sensing reflectance at 710 nm as a function of depth that is widely independent from the bottom albedo and accounts for the influence of varying solar zenith angles. We validated the model using 49 in situ melt pond spectra and corresponding depths from shallow ponds on dark and bright ice. Retrieved pond depths are accurate (root mean square error, RMSE=2.81 cm; nRMSE=16 %) and highly correlated with in situ measurements (r=0.89; p=4.34×10−17) |
format |
Article in Journal/Newspaper |
author |
König, Marcel Oppelt, Natascha |
author_facet |
König, Marcel Oppelt, Natascha |
author_sort |
König, Marcel |
title |
A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data |
title_short |
A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data |
title_full |
A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data |
title_fullStr |
A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data |
title_full_unstemmed |
A linear model to derive melt pond depth on Arctic sea ice from hyperspectral data |
title_sort |
linear model to derive melt pond depth on arctic sea ice from hyperspectral data |
publishDate |
2020 |
url |
https://doi.org/10.5194/tc-14-2567-2020 https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2022-00339-6 https://macau.uni-kiel.de/receive/macau_mods_00002757 https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/macau_derivate_00003883/tc-14-2567-2020.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Sea ice The Cryosphere |
genre_facet |
albedo Arctic Sea ice The Cryosphere |
op_relation |
The Cryosphere : TC an interactive open access journal of the European Geosciences Union -- ˜Theœ Cryosphere -- 1994-0424 https://doi.org/10.5194/tc-14-2567-2020 https://nbn-resolving.org/urn:nbn:de:gbv:8:3-2022-00339-6 https://macau.uni-kiel.de/receive/macau_mods_00002757 https://macau.uni-kiel.de/servlets/MCRFileNodeServlet/macau_derivate_00003883/tc-14-2567-2020.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-14-2567-2020 |
container_title |
The Cryosphere |
container_volume |
14 |
container_issue |
8 |
container_start_page |
2567 |
op_container_end_page |
2579 |
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1802651480077893632 |