Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data
From 2015 to 2020, using spectral gradient radiometric methods, the possibility of frozen/thawed state identification of tundra soils was investigated based on SMAP and GCOM-W1 satellite observations of ten test sites located in the Arctic regions of Canada, Finland, Russia, and U.S. It is shown tha...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00061764 2023-05-15T15:03:07+02:00 Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data Muzalevskiy, Konstantin Ruzicka, Zdenek Roy, Alexandre Loranty, Michael Vasiliev, Alexander 2022-07 electronic https://doi.org/10.5194/egusphere-2022-224 https://noa.gwlb.de/receive/cop_mods_00061764 https://egusphere.copernicus.org/preprints/egusphere-2022-224/egusphere-2022-224.pdf eng eng Copernicus Publications https://doi.org/10.5194/egusphere-2022-224 https://noa.gwlb.de/receive/cop_mods_00061764 https://egusphere.copernicus.org/preprints/egusphere-2022-224/egusphere-2022-224.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/restrictedAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/egusphere-2022-224 2022-07-10T23:11:45Z From 2015 to 2020, using spectral gradient radiometric methods, the possibility of frozen/thawed state identification of tundra soils was investigated based on SMAP and GCOM-W1 satellite observations of ten test sites located in the Arctic regions of Canada, Finland, Russia, and U.S. It is shown that the spectral gradients of brightness temperature and reflectivity, measured on the frequency range from 1.4 GHz to 36.5 GHz on horizontal polarization with a determination coefficient from 0.775 to 0.834, root-mean-square-error from 6.6 days to 10.7 days, and bias from -3.4 days to +6.5 days, make it possible to identify the thawed/frozen state of the tundra soils. Spectral gradient methods have a significantly higher accuracy for identification of frozen and thawed state of tundra soils in relation to single-frequency methods based on the calculation of polarization index. Article in Journal/Newspaper Arctic Tundra Niedersächsisches Online-Archiv NOA Arctic Canada |
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language |
English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Muzalevskiy, Konstantin Ruzicka, Zdenek Roy, Alexandre Loranty, Michael Vasiliev, Alexander Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data |
topic_facet |
article Verlagsveröffentlichung |
description |
From 2015 to 2020, using spectral gradient radiometric methods, the possibility of frozen/thawed state identification of tundra soils was investigated based on SMAP and GCOM-W1 satellite observations of ten test sites located in the Arctic regions of Canada, Finland, Russia, and U.S. It is shown that the spectral gradients of brightness temperature and reflectivity, measured on the frequency range from 1.4 GHz to 36.5 GHz on horizontal polarization with a determination coefficient from 0.775 to 0.834, root-mean-square-error from 6.6 days to 10.7 days, and bias from -3.4 days to +6.5 days, make it possible to identify the thawed/frozen state of the tundra soils. Spectral gradient methods have a significantly higher accuracy for identification of frozen and thawed state of tundra soils in relation to single-frequency methods based on the calculation of polarization index. |
format |
Article in Journal/Newspaper |
author |
Muzalevskiy, Konstantin Ruzicka, Zdenek Roy, Alexandre Loranty, Michael Vasiliev, Alexander |
author_facet |
Muzalevskiy, Konstantin Ruzicka, Zdenek Roy, Alexandre Loranty, Michael Vasiliev, Alexander |
author_sort |
Muzalevskiy, Konstantin |
title |
Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data |
title_short |
Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data |
title_full |
Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data |
title_fullStr |
Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data |
title_full_unstemmed |
Brief communication: Classification of thawed/frozen topsoil state by spectral gradient methods based on SMAP and GCOM-W1 radiometric data |
title_sort |
brief communication: classification of thawed/frozen topsoil state by spectral gradient methods based on smap and gcom-w1 radiometric data |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/egusphere-2022-224 https://noa.gwlb.de/receive/cop_mods_00061764 https://egusphere.copernicus.org/preprints/egusphere-2022-224/egusphere-2022-224.pdf |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_relation |
https://doi.org/10.5194/egusphere-2022-224 https://noa.gwlb.de/receive/cop_mods_00061764 https://egusphere.copernicus.org/preprints/egusphere-2022-224/egusphere-2022-224.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/restrictedAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/egusphere-2022-224 |
_version_ |
1766335024500572160 |