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Open AccessArticle

Terrestrial CDOM in Lakes of Yamal Peninsula: Connection to Lake and Lake Catchment Properties

Earth Cryosphere Institute Tyumen Scientific Centre SB RAS, 625026 Tyumen, Russia
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, 14473 Potsdam, Germany
University of Tyumen, International Institute of Cryology and Cryosophy, 625003 Tyumen, Russia
b.geos, 2100 Korneuburg, Austria
Zentralanstalt für Meteorologie und Geodynamik, 1190 Vienna, Austria
Austrian Polar Research Institute, 1090 Vienna, Austria
Institute of Earth and Environmental Sciences, University of Potsdam, 14469 Potsdam, Germany
Arctic and Antarctic Research Institute, 199397 Saint-Petersburg, Russia
Institute of Earth Science, Saint-Petersburg State University, 199178 Saint-Petersburg, Russia
Kazan Federal University, 420008 Kazan, Russia
Tyumen Industrial University, 625000 Tyumen, Russia
FIELAX, 27568 Bremerhaven, Germany
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(2), 167;
Received: 7 November 2017 / Revised: 16 January 2018 / Accepted: 20 January 2018 / Published: 25 January 2018
(This article belongs to the Special Issue Remote Sensing of Arctic Tundra)
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 km2 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(λ)CDOM data from 18 lakes sampled in the field to 356 lakes in the study area (model R2 = 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(λ)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 (R2 = 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. View Full-Text
Keywords: CDOM; lakes; lake catchments; permafrost; Yamal; remote sensing data CDOM; lakes; lake catchments; permafrost; Yamal; remote sensing data
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MDPI and ACS Style

Dvornikov, Y.; Leibman, M.; Heim, B.; Bartsch, A.; Herzschuh, U.; Skorospekhova, T.; Fedorova, I.; Khomutov, A.; Widhalm, B.; Gubarkov, A.; Rößler, S. Terrestrial CDOM in Lakes of Yamal Peninsula: Connection to Lake and Lake Catchment Properties. Remote Sens. 2018, 10, 167.

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