Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications
Enhanced permafrost warming and increased Arctic river discharges have heightened concern about the input of terrigenous matter into Arctic coastal waters. We used optical operational satellite data from the ocean colour sensor MERIS (Medium-Resolution Imaging Spectrometer) aboard the ENVISAT satell...
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fthzgzmk:oai:publications.hereon.de:39677 2023-06-11T04:08:43+02:00 Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications Heim, B. Abramova, E. Doerffer, R. Günther, F. Hölemann, J. Kraberg, A. Lantuit, H. Loginova, A. Martynov, F. Overduin, P.P. Wegner, C. 2014 https://publications.hereon.de/id/39677 https://publications.hzg.de/id/39677 https://doi.org/10.5194/bg-11-4191-2014 en eng EGU - Copernicus Publication https://dx.doi.org/10.5194/bg-11-4191-2014 urn:issn:1726-4170 https://publications.hereon.de/id/39677 https://publications.hzg.de/id/39677 info:eu-repo/semantics/openAccess open_access oa_gold issn:1726-4170 Heim, B.; Abramova, E.; Doerffer, R.; Günther, F.; Hölemann, J.; Kraberg, A.; Lantuit, H.; Loginova, A.; Martynov, F.; Overduin, P.P.; Wegner, C.: Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications . In: Biogeosciences. Vol. 11 (2014) 15, 4191 - 4210. (DOI: /10.5194/bg-11-4191-2014) info:eu-repo/semantics/article Zeitschrift Artikel 2014 fthzgzmk https://doi.org/10.5194/bg-11-4191-2014 2023-05-28T23:25:12Z Enhanced permafrost warming and increased Arctic river discharges have heightened concern about the input of terrigenous matter into Arctic coastal waters. We used optical operational satellite data from the ocean colour sensor MERIS (Medium-Resolution Imaging Spectrometer) aboard the ENVISAT satellite mission for synoptic monitoring of the pathways of terrigenous matter on the shallow Laptev Sea shelf. Despite the high cloud coverage in summer that is inherent to this Arctic region, time series from MERIS satellite data from 2006 on to 2011 could be acquired and were processed using the Case-2 Regional Processor (C2R) for optically complex surface waters installed in the open-source software ESA BEAM-VISAT.Since optical remote sensing using ocean colour satellite data has seen little application in Siberian Arctic coastal and shelf waters, we assess the applicability of the calculated MERIS C2R parameters with surface water sampling data from the Russian-German ship expeditions LENA2008,LENA2010 and TRANSDRIFT-XVII taking place in August 2008 and August and September 2010 in the southern Laptev Sea. The shallow Siberian shelf waters are optically not comparable to the deeper, more transparent waters of the Arctic Ocean. The inner-shelf waters are characterized by low transparencies,due to turbid river water input, terrestrial input by coastal erosion, resuspension events and, therefore, high background concentrations of suspended particulate matter and coloured dissolved organic matter.We compared the field-based measurements with the satellite data that are closest in time. The match-up analyses related to LENA2008 and LENA2010 expedition data show the technical limits of matching in optically highly heterogeneous and dynamic shallow inner-shelf waters. The matchup analyses using the data from the marine TRANSDRIFT expedition were constrained by several days\' difference between a match-up pair of satellite-derived and in situ parameters but are also based on the more stable hydrodynamic conditions of the ... Article in Journal/Newspaper Arctic Arctic Ocean laptev Laptev Sea permafrost Hereon Publications (Helmholtz-Zentrum) Arctic Arctic Ocean Laptev Sea Biogeosciences 11 15 4191 4210 |
institution |
Open Polar |
collection |
Hereon Publications (Helmholtz-Zentrum) |
op_collection_id |
fthzgzmk |
language |
English |
description |
Enhanced permafrost warming and increased Arctic river discharges have heightened concern about the input of terrigenous matter into Arctic coastal waters. We used optical operational satellite data from the ocean colour sensor MERIS (Medium-Resolution Imaging Spectrometer) aboard the ENVISAT satellite mission for synoptic monitoring of the pathways of terrigenous matter on the shallow Laptev Sea shelf. Despite the high cloud coverage in summer that is inherent to this Arctic region, time series from MERIS satellite data from 2006 on to 2011 could be acquired and were processed using the Case-2 Regional Processor (C2R) for optically complex surface waters installed in the open-source software ESA BEAM-VISAT.Since optical remote sensing using ocean colour satellite data has seen little application in Siberian Arctic coastal and shelf waters, we assess the applicability of the calculated MERIS C2R parameters with surface water sampling data from the Russian-German ship expeditions LENA2008,LENA2010 and TRANSDRIFT-XVII taking place in August 2008 and August and September 2010 in the southern Laptev Sea. The shallow Siberian shelf waters are optically not comparable to the deeper, more transparent waters of the Arctic Ocean. The inner-shelf waters are characterized by low transparencies,due to turbid river water input, terrestrial input by coastal erosion, resuspension events and, therefore, high background concentrations of suspended particulate matter and coloured dissolved organic matter.We compared the field-based measurements with the satellite data that are closest in time. The match-up analyses related to LENA2008 and LENA2010 expedition data show the technical limits of matching in optically highly heterogeneous and dynamic shallow inner-shelf waters. The matchup analyses using the data from the marine TRANSDRIFT expedition were constrained by several days\' difference between a match-up pair of satellite-derived and in situ parameters but are also based on the more stable hydrodynamic conditions of the ... |
format |
Article in Journal/Newspaper |
author |
Heim, B. Abramova, E. Doerffer, R. Günther, F. Hölemann, J. Kraberg, A. Lantuit, H. Loginova, A. Martynov, F. Overduin, P.P. Wegner, C. |
spellingShingle |
Heim, B. Abramova, E. Doerffer, R. Günther, F. Hölemann, J. Kraberg, A. Lantuit, H. Loginova, A. Martynov, F. Overduin, P.P. Wegner, C. Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications |
author_facet |
Heim, B. Abramova, E. Doerffer, R. Günther, F. Hölemann, J. Kraberg, A. Lantuit, H. Loginova, A. Martynov, F. Overduin, P.P. Wegner, C. |
author_sort |
Heim, B. |
title |
Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications |
title_short |
Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications |
title_full |
Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications |
title_fullStr |
Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications |
title_full_unstemmed |
Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications |
title_sort |
ocean colour remote sensing in the southern laptev sea: evaluation and applications |
publisher |
EGU - Copernicus Publication |
publishDate |
2014 |
url |
https://publications.hereon.de/id/39677 https://publications.hzg.de/id/39677 https://doi.org/10.5194/bg-11-4191-2014 |
geographic |
Arctic Arctic Ocean Laptev Sea |
geographic_facet |
Arctic Arctic Ocean Laptev Sea |
genre |
Arctic Arctic Ocean laptev Laptev Sea permafrost |
genre_facet |
Arctic Arctic Ocean laptev Laptev Sea permafrost |
op_source |
issn:1726-4170 Heim, B.; Abramova, E.; Doerffer, R.; Günther, F.; Hölemann, J.; Kraberg, A.; Lantuit, H.; Loginova, A.; Martynov, F.; Overduin, P.P.; Wegner, C.: Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications . In: Biogeosciences. Vol. 11 (2014) 15, 4191 - 4210. (DOI: /10.5194/bg-11-4191-2014) |
op_relation |
https://dx.doi.org/10.5194/bg-11-4191-2014 urn:issn:1726-4170 https://publications.hereon.de/id/39677 https://publications.hzg.de/id/39677 |
op_rights |
info:eu-repo/semantics/openAccess open_access oa_gold |
op_doi |
https://doi.org/10.5194/bg-11-4191-2014 |
container_title |
Biogeosciences |
container_volume |
11 |
container_issue |
15 |
container_start_page |
4191 |
op_container_end_page |
4210 |
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1768382166889136128 |