Using High Spatio-Temporal Optical Remote Sensing to Monitor Dissolved Organic Carbon in the Arctic River Yenisei

In Arctic regions, a major concern is the release of carbon from melting permafrost that could greatly exceed current human carbon emissions. Arctic rivers drain these organic-rich watersheds (Ob, Lena, Yenisei, Mackenzie, Yukon) but field measurements at the outlets of these great Arctic rivers are constrained by limited accessibility of sampling sites. In particular, the highest dissolved organic carbon (DOC) fluxes are observed throughout the ice breakup period that occurs over a short two to three-week period in late May or early June during the snowmelt-generated peak flow. The colored fraction of dissolved organic carbon (DOC) which absorbs UV and visible light is designed as chromophoric dissolved organic matter (CDOM). It is highly correlated to DOC in large arctic rivers and streams, allowing for remote sensing to monitor DOC concentrations from satellite imagery. High temporal and spatial resolutions remote sensing tools are highly relevant for the study of DOC fluxes in a large Arctic river. The high temporal resolution allows for correctly assessing this highly dynamic process, especially the spring freshet event (a few weeks in May). The high spatial resolution allows for assessing the spatial variability within the stream and quantifying DOC transfer during the ice break period when the access to the river is almost impossible. In this study, we develop a CDOM retrieval algorithm at a high spatial and a high temporal resolution in the Yenisei River. We used extensive DOC and DOM spectral absorbance datasets from 2014 and 2015. Twelve SPOT5 (Take5) and Landsat 8 (OLI) images from 2014 and 2015 were examined for this investigation. Relationships between CDOM and spectral variables were explored using linear models (LM). Results demonstrated the capacity of a CDOM algorithm retrieval to monitor DOC fluxes in the Yenisei River during a whole open water season with a special focus on the peak flow period. Overall, future Sentinel2/Landsat8 synergies are promising to monitor DOC fluxes in Arctic rivers and advance our understanding of the Earth’s carbon cycle.

[1]  J. Six,et al.  Pan-Arctic Trends in Terrestrial Dissolved Organic Matter from Optical Measurements , 2016, Front. Earth Sci..

[2]  Gerhard Kattner,et al.  Biogeochemical characteristics of dissolved and particulate organic matter in Russian rivers entering the Arctic Ocean , 2000 .

[3]  John Rogan,et al.  Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery , 2011 .

[4]  J. Canadell,et al.  Soil organic carbon pools in the northern circumpolar permafrost region , 2009 .

[5]  Jeremy B. Jones,et al.  Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire: an expert assessment , 2016 .

[6]  Tiit Kutser,et al.  Mapping lake CDOM by satellite remote sensing , 2005 .

[7]  Robert F. Chen,et al.  Estimation of chromophoric dissolved organic matter in the Mississippi and Atchafalaya river plume regions using above‐surface hyperspectral remote sensing , 2011 .

[8]  G Fitzmaurice,et al.  The meaning and interpretation of interaction. , 2000, Nutrition.

[9]  S. Hooker,et al.  Algorithm development and validation for satellite‐derived distributions of DOC and CDOM in the U.S. Middle Atlantic Bight , 2008 .

[10]  Gérard Dedieu,et al.  A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENμS and Sentinel-2 Images , 2015, Remote. Sens..

[11]  Vladimir E. Romanovsky,et al.  Permafrost thermal state in the polar Northern Hemisphere during the international polar year 2007–2009: a synthesis , 2010 .

[12]  M. Bauer,et al.  Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters , 2015 .

[13]  Peng Wang,et al.  Uncertainties of inherent optical properties obtained from semianalytical inversions of ocean color. , 2005, Applied optics.

[14]  Libo Wang,et al.  A multi‐data set analysis of variability and change in Arctic spring snow cover extent, 1967–2008 , 2010 .

[15]  Frank E. Hoge,et al.  Satellite observation of Chromophoric Dissolved Organic Matter (CDOM) variability in the wake of hurricanes and typhoons , 2002 .

[16]  I. Shiklomanov,et al.  Development of a Pan-Arctic Database for River Chemistry , 2008 .

[17]  P. Raymond,et al.  Seasonal and Annual Fluxes of Nutrients and Organic Matter from Large Rivers to the Arctic Ocean and Surrounding Seas , 2012, Estuaries and Coasts.

[18]  M. He,et al.  Determination of Primary Spectral Bands for Remote Sensing of Aquatic Environments , 2007, Sensors.

[19]  D. Pierson,et al.  The effects of variability in the inherent optical properties on estimations of chlorophyll a by remote sensing in Swedish freshwaters. , 2001, The Science of the total environment.

[20]  Richard B. Lammers,et al.  THE DYNAMICS OF RIVER WATER INFLOW TO THE ARCTIC OCEAN , 2000 .

[21]  David M. Lawrence,et al.  A projection of severe near‐surface permafrost degradation during the 21st century , 2005 .

[22]  Yong Q. Tian,et al.  Estimating of chromophoric dissolved organic matter (CDOM) with in-situ and satellite hyperspectral remote sensing technology , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[23]  Richard L. Miller,et al.  On the Use of Ocean Color Remote Sensing to Measure the Transport of Dissolved Organic Carbon by the Mississippi River Plume , 2008 .

[24]  Vittorio E. Brando,et al.  Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality , 2003, IEEE Trans. Geosci. Remote. Sens..

[25]  Jean-Loup Guyot,et al.  Increase in suspended sediment discharge of the Amazon River assessed by monitoring network and satellite data , 2009 .

[26]  M. Matthews A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters , 2011 .

[27]  B. Meon,et al.  Dissolved organic matter (DOM) in the estuaries of Ob and Yenisei and the adjacent Kara Sea, Russia , 2003 .

[28]  L. Nunes Atmospheric correction of high resolution multi-spectral satellite images using a simplified method based on the 6 S code A , 2004 .

[29]  W. McDowell,et al.  Export of dissolved carbon from watersheds of the Central Siberian Plateau , 2011 .

[30]  Daqing Yang,et al.  Effect of Streamflow Regulation on Mean Annual Discharge Variability of the Yenisei River , 2011 .

[31]  Stanford B. Hooker,et al.  Pan-Arctic distributions of continental runoff in the Arctic Ocean , 2013, Scientific Reports.

[32]  B. Meon,et al.  The biogeochemistry of dissolved organic matter and nutrients in two large Arctic estuaries and potential implications for our understanding of the Arctic Ocean system , 2004 .

[33]  Richard L. Miller,et al.  Bio-optical properties in waters influenced by the Mississippi River during low flow conditions , 2003 .

[34]  T. Dittmar,et al.  The biogeochemistry of the river and shelf ecosystem of the Arctic Ocean: a review , 2003 .

[35]  D. Bromwich,et al.  Large‐scale hydro‐climatology of the terrestrial Arctic drainage system , 2002 .

[36]  K. Carder,et al.  Semianalytic Moderate‐Resolution Imaging Spectrometer algorithms for chlorophyll a and absorption with bio‐optical domains based on nitrate‐depletion temperatures , 1999 .

[37]  C. Stedmon,et al.  Dissolved organic matter sources in large Arctic rivers , 2012 .

[38]  Douglas L. Kane,et al.  Streamflow changes over Siberian Yenisei River Basin , 2004 .

[39]  Isabelle Laurion,et al.  Reviews and syntheses: Effects of permafrost thaw on Arctic aquatic ecosystems , 2015 .

[40]  M. Bauer,et al.  Landsat-based Remote Sensing of Lake Water Quality Characteristics, Including Chlorophyll and Colored Dissolved Organic Matter (CDOM) , 2005 .

[41]  B. Mitchell,et al.  A synthesis of light absorption properties of the Arctic Ocean: application to semianalytical estimates of dissolved organic carbon concentrations from space , 2013 .

[42]  K. Moffett,et al.  Remote Sens , 2015 .

[43]  P. Raymond,et al.  A decrease in discharge‐normalized DOC export by the Yukon River during summer through autumn , 2005 .

[44]  L. Hinzman,et al.  Observations: Changes in Snow, Ice and Frozen Ground , 2007 .

[45]  Michael Steele,et al.  What drove the dramatic retreat of arctic sea ice during summer 2007? , 2008 .

[46]  J. Seppälä,et al.  Absorption properties of in-water constituents and their variation among various lake types in the boreal region , 2014 .

[47]  Yong Q. Tian,et al.  An assessment of remote sensing algorithms for colored dissolved organic matter in complex freshwater environments , 2014 .