Terrestrial CDOM in lakes of Yamal Peninsula
In this study, we analyze interactions in lake and lake catchment systems of a continuous permafrost area. We assessed colored dissolved organic matter (CDOM) absorption at 440 nm (a(440)(CDOM)) and absorption slope (S300-500) in lakes using field sampling and optical remote sensing data for an area...
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ftubpotsdam:oai:kobv.de-opus4-uni-potsdam:59870 2023-07-30T04:06:18+02:00 Terrestrial CDOM in lakes of Yamal Peninsula Dvornikov, Yury Leibman, Marina Heim, Birgit Bartsch, Annett Herzschuh, Ulrike (Prof. Dr.) Skorospekhova, Tatiana Fedorova, Irina Khomutov, Artem Widhalm, Barbara Gubarkov, Anatoly Rößler, Sebastian 2018-01-25 https://publishup.uni-potsdam.de/frontdoor/index/index/docId/59870 https://doi.org/10.3390/rs10020167 eng eng https://publishup.uni-potsdam.de/frontdoor/index/index/docId/59870 https://doi.org/10.3390/rs10020167 https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/closedAccess ddc:550 Institut für Geowissenschaften Extern article doc-type:article 2018 ftubpotsdam https://doi.org/10.3390/rs10020167 2023-07-09T22:33:49Z In this study, we analyze interactions in lake and lake catchment systems of a continuous permafrost area. We assessed colored dissolved organic matter (CDOM) absorption at 440 nm (a(440)(CDOM)) and absorption slope (S300-500) in lakes using field sampling and optical remote sensing data for an area of 350 km(2) in Central Yamal, Siberia. Applying a CDOM algorithm (ratio of green and red band reflectance) for two high spatial resolution multispectral GeoEye-1 and Worldview-2 satellite images, we were able to extrapolate the a()(CDOM) data from 18 lakes sampled in the field to 356 lakes in the study area (model R-2 = 0.79). Values of a(440)(CDOM) in 356 lakes varied from 0.48 to 8.35 m(-1) with a median of 1.43 m(-1). This a()(CDOM) dataset was used to relate lake CDOM to 17 lake and lake catchment parameters derived from optical and radar remote sensing data and from digital elevation model analysis in order to establish the parameters controlling CDOM in lakes on the Yamal Peninsula. Regression tree model and boosted regression tree analysis showed that the activity of cryogenic processes (thermocirques) in the lake shores and lake water level were the two most important controls, explaining 48.4% and 28.4% of lake CDOM, respectively (R-2 = 0.61). Activation of thermocirques led to a large input of terrestrial organic matter and sediments from catchments and thawed permafrost to lakes (n = 15, mean a(440)(CDOM) = 5.3 m(-1)). Large lakes on the floodplain with a connection to Mordy-Yakha River received more CDOM (n = 7, mean a(440)(CDOM) = 3.8 m(-1)) compared to lakes located on higher terraces. Article in Journal/Newspaper permafrost Yamal Peninsula Siberia University of Potsdam: publish.UP Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) Remote Sensing 10 2 167 |
institution |
Open Polar |
collection |
University of Potsdam: publish.UP |
op_collection_id |
ftubpotsdam |
language |
English |
topic |
ddc:550 Institut für Geowissenschaften Extern |
spellingShingle |
ddc:550 Institut für Geowissenschaften Extern Dvornikov, Yury Leibman, Marina Heim, Birgit Bartsch, Annett Herzschuh, Ulrike (Prof. Dr.) Skorospekhova, Tatiana Fedorova, Irina Khomutov, Artem Widhalm, Barbara Gubarkov, Anatoly Rößler, Sebastian Terrestrial CDOM in lakes of Yamal Peninsula |
topic_facet |
ddc:550 Institut für Geowissenschaften Extern |
description |
In this study, we analyze interactions in lake and lake catchment systems of a continuous permafrost area. We assessed colored dissolved organic matter (CDOM) absorption at 440 nm (a(440)(CDOM)) and absorption slope (S300-500) in lakes using field sampling and optical remote sensing data for an area of 350 km(2) in Central Yamal, Siberia. Applying a CDOM algorithm (ratio of green and red band reflectance) for two high spatial resolution multispectral GeoEye-1 and Worldview-2 satellite images, we were able to extrapolate the a()(CDOM) data from 18 lakes sampled in the field to 356 lakes in the study area (model R-2 = 0.79). Values of a(440)(CDOM) in 356 lakes varied from 0.48 to 8.35 m(-1) with a median of 1.43 m(-1). This a()(CDOM) dataset was used to relate lake CDOM to 17 lake and lake catchment parameters derived from optical and radar remote sensing data and from digital elevation model analysis in order to establish the parameters controlling CDOM in lakes on the Yamal Peninsula. Regression tree model and boosted regression tree analysis showed that the activity of cryogenic processes (thermocirques) in the lake shores and lake water level were the two most important controls, explaining 48.4% and 28.4% of lake CDOM, respectively (R-2 = 0.61). Activation of thermocirques led to a large input of terrestrial organic matter and sediments from catchments and thawed permafrost to lakes (n = 15, mean a(440)(CDOM) = 5.3 m(-1)). Large lakes on the floodplain with a connection to Mordy-Yakha River received more CDOM (n = 7, mean a(440)(CDOM) = 3.8 m(-1)) compared to lakes located on higher terraces. |
format |
Article in Journal/Newspaper |
author |
Dvornikov, Yury Leibman, Marina Heim, Birgit Bartsch, Annett Herzschuh, Ulrike (Prof. Dr.) Skorospekhova, Tatiana Fedorova, Irina Khomutov, Artem Widhalm, Barbara Gubarkov, Anatoly Rößler, Sebastian |
author_facet |
Dvornikov, Yury Leibman, Marina Heim, Birgit Bartsch, Annett Herzschuh, Ulrike (Prof. Dr.) Skorospekhova, Tatiana Fedorova, Irina Khomutov, Artem Widhalm, Barbara Gubarkov, Anatoly Rößler, Sebastian |
author_sort |
Dvornikov, Yury |
title |
Terrestrial CDOM in lakes of Yamal Peninsula |
title_short |
Terrestrial CDOM in lakes of Yamal Peninsula |
title_full |
Terrestrial CDOM in lakes of Yamal Peninsula |
title_fullStr |
Terrestrial CDOM in lakes of Yamal Peninsula |
title_full_unstemmed |
Terrestrial CDOM in lakes of Yamal Peninsula |
title_sort |
terrestrial cdom in lakes of yamal peninsula |
publishDate |
2018 |
url |
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/59870 https://doi.org/10.3390/rs10020167 |
long_lat |
ENVELOPE(69.873,69.873,70.816,70.816) |
geographic |
Yamal Peninsula |
geographic_facet |
Yamal Peninsula |
genre |
permafrost Yamal Peninsula Siberia |
genre_facet |
permafrost Yamal Peninsula Siberia |
op_relation |
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/59870 https://doi.org/10.3390/rs10020167 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.3390/rs10020167 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
2 |
container_start_page |
167 |
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1772818818680225792 |