{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T23:13:06Z","timestamp":1768259586512,"version":"3.49.0"},"reference-count":48,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2016,9,28]],"date-time":"2016-09-28T00:00:00Z","timestamp":1475020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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\u2019s carbon cycle.<\/jats:p>","DOI":"10.3390\/rs8100803","type":"journal-article","created":{"date-parts":[[2016,9,28]],"date-time":"2016-09-28T10:56:13Z","timestamp":1475060173000},"page":"803","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Using High Spatio-Temporal Optical Remote Sensing to Monitor Dissolved Organic Carbon in the Arctic River Yenisei"],"prefix":"10.3390","volume":"8","author":[{"given":"Pierre-Alexis","family":"Herrault","sequence":"first","affiliation":[{"name":"CESBIO, CNES, CNRS, IRD, UPS, University of Toulouse, Toulouse 31401, France"},{"name":"ECOLAB, INP-ENSAT, CNRS, University of Toulouse, Auzeville 31320, France"}]},{"given":"Laure","family":"Gandois","sequence":"additional","affiliation":[{"name":"ECOLAB, INP-ENSAT, CNRS, University of Toulouse, Auzeville 31320, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4996-6768","authenticated-orcid":false,"given":"Simon","family":"Gascoin","sequence":"additional","affiliation":[{"name":"CESBIO, CNES, CNRS, IRD, UPS, University of Toulouse, Toulouse 31401, France"}]},{"given":"Nikita","family":"Tananaev","sequence":"additional","affiliation":[{"name":"ECOLAB, INP-ENSAT, CNRS, University of Toulouse, Auzeville 31320, France"},{"name":"Igarka Geocryology Lab, Igarka 663200, Russia"}]},{"given":"Th\u00e9o","family":"Le Dantec","sequence":"additional","affiliation":[{"name":"ECOLAB, INP-ENSAT, CNRS, University of Toulouse, Auzeville 31320, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2440-040X","authenticated-orcid":false,"given":"Roman","family":"Teisserenc","sequence":"additional","affiliation":[{"name":"ECOLAB, INP-ENSAT, CNRS, University of Toulouse, Auzeville 31320, France"}]}],"member":"1968","published-online":{"date-parts":[[2016,9,28]]},"reference":[{"key":"ref_1","unstructured":"Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K.B., Tignor, M., and Miller, H.L. (2013). 5th Assessment Report-Climate Change 2013-IPCC, Cambridge University Press."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"D16111","DOI":"10.1029\/2010JD013975","article-title":"A multi-data set analysis of variability and change in Arctic spring snow cover extent, 1967\u20132008","volume":"115","author":"Brown","year":"2010","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1002\/ppp.689","article-title":"Permafrost thermal state in the polar Northern Hemisphere during the international polar year 2007\u20132009: A synthesis","volume":"21","author":"Romanovsky","year":"2010","journal-title":"Permafr. Periglac. Process."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"7129","DOI":"10.5194\/bg-12-7129-2015","article-title":"Reviews and syntheses: Effects of permafrost thaw on Arctic aquatic ecosystems","volume":"12","author":"Vonk","year":"2015","journal-title":"Biogeosciences"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"L24401","DOI":"10.1029\/2005GL025080","article-title":"A projection of severe near-surface permafrost degradation during the 21st century","volume":"32","author":"Lawrence","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"B003327","DOI":"10.1029\/2008GB003327","article-title":"Soil organic carbon pools in the northern circumpolar permafrost region","volume":"23","author":"Tarnocai","year":"2009","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_7","unstructured":"Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K.B., Tignor, M., and Miller, H.L. (2013). Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"L01505","DOI":"10.1029\/2008GL034005","article-title":"What drove the dramatic retreat of arctic sea ice during summer 2007?","volume":"35","author":"Zhang","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"L024413","DOI":"10.1029\/2005GL024413","article-title":"A decrease in discharge-normalized DOC export by the Yukon River during summer through autumn","volume":"32","author":"Striegl","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_10","first-page":"1568","article-title":"Export of dissolved carbon from watersheds of the Central Siberian Plateau","volume":"441","author":"Prokushkin","year":"2011","journal-title":"Dock. Earth Sc."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"034014","DOI":"10.1088\/1748-9326\/11\/3\/034014","article-title":"Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire: An expert assessment","volume":"11","author":"Abbott","year":"2016","journal-title":"Environ. Res. Lett."},{"key":"ref_12","unstructured":"Stein, R., Fahl, K., Futterer, D.K., Galimov, E.M., and Stepanets, O.V. (2003). Siberian River Run-off in the Kara Sea: Characterisation, Quantification, Elsevier Science."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s12237-011-9386-6","article-title":"Seasonal and annual fluxes of nutrients and organic matter from large rivers to the Arctic Ocean and surrounding seas","volume":"35","author":"Holmes","year":"2012","journal-title":"Estuar. Coasts"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.gca.2012.07.015","article-title":"Dissolved organic matter sources in large Arctic rivers","volume":"94","author":"Amon","year":"2012","journal-title":"Geochim. Cosmochim. Acta"},{"key":"ref_15","first-page":"836","article-title":"On the use of ocean color remote sensing to measure the transport of dissolved organic carbon by the Mississippi River Plume","volume":"12","author":"Miller","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3131","DOI":"10.5194\/bg-11-3131-2014","article-title":"A synthesis of light absorption properties of the Arctic Ocean: Application to semi-analytical estimates of dissolved organic carbon concentrations from space","volume":"11","author":"Matsuoka","year":"2014","journal-title":"Biogeosciences"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/S0048-9697(00)00681-1","article-title":"The effects of variability in the inherent optical properties on estimations of chlorophyll a by remote sensing in Swedish freshwaters","volume":"268","author":"Pierson","year":"2001","journal-title":"Sci. Total Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1080\/07438140509354442","article-title":"Landsat-based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM)","volume":"21","author":"Brezonik","year":"2005","journal-title":"Lake Reserv. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.rse.2004.11.009","article-title":"Mapping lake CDOM by satellite remote sensing","volume":"94","author":"Kutser","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.rse.2014.03.023","article-title":"Absorption properties of in-water constituents and their variation among various lake types in the boreal region","volume":"148","author":"Kallio","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_21","first-page":"C02011","article-title":"Estimation of chromophoric dissolved organic matter in the Mississippi and Atchafalaya river plume regions using above-surface hyperspectral remote sensing","volume":"116","author":"Zhu","year":"2011","journal-title":"J. Geophys. Res."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Tian, Y.Q., Yu, Q., and Zhu, W. (2012, January 22\u201327). Estimating of Chromophoric Dissolved Organic Matter (CDOM) with in-situ and satellite hyperspectral remote sensing technology. Proceedings of the Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6350975"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.rse.2014.04.033","article-title":"Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters","volume":"157","author":"Brezonik","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1038\/srep01053","article-title":"Pan-Arctic distributions of continental runoff in the Arctic Ocean","volume":"3","author":"Fichot","year":"2013","journal-title":"Sci. Rep."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Griffin, C.G., Frey, K.E., Rogan, J., and Holmes, R.M. (2011). Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery. J. Geophys. Res., 116.","DOI":"10.1029\/2010JG001634"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"25","DOI":"10.3389\/feart.2016.00025","article-title":"Pan-Arctic trends in terrestrial dissolved organic matter from optical measurements","volume":"4","author":"Mann","year":"2016","journal-title":"Front. Earth Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"6855","DOI":"10.1080\/01431161.2010.512947","article-title":"A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters","volume":"32","author":"Matthews","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"766","DOI":"10.1016\/j.rse.2013.10.015","article-title":"An assessment of remote sensing algorithms for colored dissolved organic matter in complex freshwater environments","volume":"140","author":"Zhu","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"C07051","DOI":"10.1029\/2007JC004493","article-title":"Algorithm development and validation for satellite-derived distributions of DOC and CDOM in the US Middle Atlantic Bight","volume":"113","author":"Mannino","year":"2008","journal-title":"J. Geophys. Res. Oceans"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3428","DOI":"10.3390\/s7123428","article-title":"Determination of primary spectral bands for remote sensing of aquatic environments","volume":"7","author":"Lee","year":"2007","journal-title":"Sensors"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.1109\/TGRS.2003.812907","article-title":"Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality","volume":"41","author":"Brando","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"4074","DOI":"10.1364\/AO.44.004074","article-title":"Uncertainties of inherent optical properties obtained from semi-analytical inversions of ocean color","volume":"44","author":"Wang","year":"2005","journal-title":"Appl. Opt."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"5403","DOI":"10.1029\/1998JC900082","article-title":"Semianalytic moderate-resolution imaging spectrometer algorithms for chlorophyll a and absorption with bio-optical domains based on nitrate-depletion temperatures","volume":"104","author":"Carder","year":"1999","journal-title":"J. Geophys. Res. Oceans"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1016\/S0034-4257(02)00163-3","article-title":"Bio-optical properties in waters influenced by the Mississippi River during low flow conditions","volume":"84","author":"Miller","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/S0899-9007(99)00293-2","article-title":"The meaning and interpretation of interaction","volume":"16","author":"Fitzmaurice","year":"2000","journal-title":"Nutrition"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.catena.2009.05.011","article-title":"Increase in suspended sediment discharge of the Amazon River assessed by monitoring network and satellite data","volume":"79","author":"Martinez","year":"2009","journal-title":"Catena"},{"key":"ref_37","unstructured":"Nunes, A.L., and Mar\u00e7al, A.R.S. (2000, January 16\u201318). Atmospheric correction of high resolution multi-spectral satellite images using a simplified method based on the 6S Code. Proceedings of the 4th Remote Sensing and Photogrammetry Society Annual Conference-Mapping and Resources Management, Aberdeen, Scotland."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1029\/2002GL015114","article-title":"Satellite observation of Chromophoric Dissolved Organic Matter (CDOM) variability in the wake of hurricanes and typhoons","volume":"29","author":"Hoge","year":"2002","journal-title":"Geophys. Res. Lett."},{"key":"ref_39","unstructured":"Shiklomanov, I.A., Shiklomanov, A.I., Lammers, R.B., Peterson, B.J., and Vorosmarty, C.J. (2000). The Freshwater Budget of the Arctic Ocean, Springer."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.jhydrol.2004.03.017","article-title":"Streamflow changes over Siberian Yenisei River basin","volume":"296","author":"Yang","year":"2004","journal-title":"J. Hydrol."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Serreze, M.C., Bromwich, D.H., Clark, M.P., Etringer, A.J., Zhang, T., and Lammers, R. (2002). Large-scale hydro-climatology of the terrestrial Arctic drainage system. J. Geophys. Res., 108.","DOI":"10.1029\/2001JD000919"},{"key":"ref_42","first-page":"27","article-title":"Effect of streamflow regulation on mean annual discharge variability of the Yenisei River","volume":"346","author":"Stuefer","year":"2011","journal-title":"IAHS-AISH Publ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2973","DOI":"10.1016\/S0016-7037(00)00409-9","article-title":"Biogeochemical characteristics of dissolved and particulate organic matter in Russian rivers entering the Arctic Ocean","volume":"64","author":"Lobbes","year":"2000","journal-title":"Geochim. Cosmochim. Acta"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/S0304-4203(03)00105-1","article-title":"The biogeochemistry of the river and shelf ecosystem of the Arctic Ocean: A review","volume":"83","author":"Dittmar","year":"2003","journal-title":"Mar. Chem."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.marchem.2004.06.034","article-title":"The biogeochemistry of dissolved organic matter and nutrients in two large Arctic estuaries and potential implications for our understanding of the Arctic Ocean system","volume":"92","author":"Amon","year":"2004","journal-title":"Mar. Chem."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2668","DOI":"10.3390\/rs70302668","article-title":"A multi-temporal and multi-spectral method to estimate aerosol optical thickness over land, for the atmospheric correction of FormoSat-2, LandSat, VEN\u03bcS and Sentinel-2 Images","volume":"7","author":"Hagolle","year":"2015","journal-title":"Remote Sens."},{"key":"ref_47","unstructured":"USGS (2015). L8SR Product Guide: Provisional Landsat 8 Surface Reflectance Product, (Version 2.0)."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1029\/2008EO240001","article-title":"Development of a Pan-Arctic database for river chemistry","volume":"89","author":"McClelland","year":"2008","journal-title":"Eos Trans. Am. Geophys. Union"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/10\/803\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:31:58Z","timestamp":1760211118000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/10\/803"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,28]]},"references-count":48,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2016,10]]}},"alternative-id":["rs8100803"],"URL":"https:\/\/doi.org\/10.3390\/rs8100803","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,28]]}}}