Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery
The Kolyma River basin in northeastern Siberia, the sixth largest river basin draining to the Arctic Ocean, contains vast reserves of carbon in Pleistocene-aged permafrost soils. Permafrost degradation, as a result of climate change, may cause shifts in riverine biogeochemistry as this old source of...
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ftclarkuniv:oai:commons.clarku.edu:faculty_geography-1235 2023-09-05T13:17:05+02:00 Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery Griffin, Claire G. Frey, Karen E. Rogan, John Holmes, Robert M. 2011-01-01T08:00:00Z application/pdf https://commons.clarku.edu/faculty_geography/236 https://doi.org/10.1029/2010JG001634 https://commons.clarku.edu/context/faculty_geography/article/1235/viewcontent/GeogFacWorks_Frey_SpatialInterannual_2011.pdf unknown Clark Digital Commons https://commons.clarku.edu/faculty_geography/236 doi:10.1029/2010JG001634 https://commons.clarku.edu/context/faculty_geography/article/1235/viewcontent/GeogFacWorks_Frey_SpatialInterannual_2011.pdf Geography algorithm biogeochemistry climate change dissolved organic matter Landsat thematic mapper permafrost Pleistocene sampling satellite data satellite imagery spatiotemporal analysis Remote Sensing text 2011 ftclarkuniv https://doi.org/10.1029/2010JG001634 2023-08-14T06:16:39Z The Kolyma River basin in northeastern Siberia, the sixth largest river basin draining to the Arctic Ocean, contains vast reserves of carbon in Pleistocene-aged permafrost soils. Permafrost degradation, as a result of climate change, may cause shifts in riverine biogeochemistry as this old source of organic matter is exposed. Satellite remote sensing offers an opportunity to complement and extrapolate field sampling of dissolved organic matter in this expansive and remote region. We develop empirically based algorithms that estimate chromophoric dissolved organic matter (CDOM) and dissolved organic carbon (DOC) in the Kolyma River and its major tributaries in the vicinity of Cherskiy, Russia. Field samples from July 2008 and 2009 were regressed against spectral data from the Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper-Plus. A combination of Landsat band 3 and bands 2:1 resulted in an R2 of 0.78 between measured CDOM and satellite-derived predictions. Owing to the strong correlation between CDOM and DOC, the resulting maps of the region show strong interannual variability of both CDOM and DOC, and important spatial patterns such as mixing zones at river confluences and downstream loading of DOC. Such variability was previously unobserved through field-based point observations and suggests that current calculations of DOC flux from the Kolyma River to the Arctic Ocean may be underestimates. In this era of rapid climate change, permafrost degradation, and shifts in river discharge, remote sensing of CDOM and DOC offers a powerful, reliable tool to enhance our understanding of carbon cycling in major arctic river systems. Copyright 2011 by the American Geophysical Union. Text Arctic Arctic Ocean Cherskiy Climate change kolyma river permafrost Siberia Clark University: Clark Digital Commons Arctic Arctic Ocean Cherskiy ENVELOPE(161.332,161.332,68.753,68.753) Kolyma ENVELOPE(161.000,161.000,69.500,69.500) Journal of Geophysical Research 116 G3 |
institution |
Open Polar |
collection |
Clark University: Clark Digital Commons |
op_collection_id |
ftclarkuniv |
language |
unknown |
topic |
algorithm biogeochemistry climate change dissolved organic matter Landsat thematic mapper permafrost Pleistocene sampling satellite data satellite imagery spatiotemporal analysis Remote Sensing |
spellingShingle |
algorithm biogeochemistry climate change dissolved organic matter Landsat thematic mapper permafrost Pleistocene sampling satellite data satellite imagery spatiotemporal analysis Remote Sensing Griffin, Claire G. Frey, Karen E. Rogan, John Holmes, Robert M. Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery |
topic_facet |
algorithm biogeochemistry climate change dissolved organic matter Landsat thematic mapper permafrost Pleistocene sampling satellite data satellite imagery spatiotemporal analysis Remote Sensing |
description |
The Kolyma River basin in northeastern Siberia, the sixth largest river basin draining to the Arctic Ocean, contains vast reserves of carbon in Pleistocene-aged permafrost soils. Permafrost degradation, as a result of climate change, may cause shifts in riverine biogeochemistry as this old source of organic matter is exposed. Satellite remote sensing offers an opportunity to complement and extrapolate field sampling of dissolved organic matter in this expansive and remote region. We develop empirically based algorithms that estimate chromophoric dissolved organic matter (CDOM) and dissolved organic carbon (DOC) in the Kolyma River and its major tributaries in the vicinity of Cherskiy, Russia. Field samples from July 2008 and 2009 were regressed against spectral data from the Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper-Plus. A combination of Landsat band 3 and bands 2:1 resulted in an R2 of 0.78 between measured CDOM and satellite-derived predictions. Owing to the strong correlation between CDOM and DOC, the resulting maps of the region show strong interannual variability of both CDOM and DOC, and important spatial patterns such as mixing zones at river confluences and downstream loading of DOC. Such variability was previously unobserved through field-based point observations and suggests that current calculations of DOC flux from the Kolyma River to the Arctic Ocean may be underestimates. In this era of rapid climate change, permafrost degradation, and shifts in river discharge, remote sensing of CDOM and DOC offers a powerful, reliable tool to enhance our understanding of carbon cycling in major arctic river systems. Copyright 2011 by the American Geophysical Union. |
format |
Text |
author |
Griffin, Claire G. Frey, Karen E. Rogan, John Holmes, Robert M. |
author_facet |
Griffin, Claire G. Frey, Karen E. Rogan, John Holmes, Robert M. |
author_sort |
Griffin, Claire G. |
title |
Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery |
title_short |
Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery |
title_full |
Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery |
title_fullStr |
Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery |
title_full_unstemmed |
Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery |
title_sort |
spatial and interannual variability of dissolved organic matter in the kolyma river, east siberia, observed using satellite imagery |
publisher |
Clark Digital Commons |
publishDate |
2011 |
url |
https://commons.clarku.edu/faculty_geography/236 https://doi.org/10.1029/2010JG001634 https://commons.clarku.edu/context/faculty_geography/article/1235/viewcontent/GeogFacWorks_Frey_SpatialInterannual_2011.pdf |
long_lat |
ENVELOPE(161.332,161.332,68.753,68.753) ENVELOPE(161.000,161.000,69.500,69.500) |
geographic |
Arctic Arctic Ocean Cherskiy Kolyma |
geographic_facet |
Arctic Arctic Ocean Cherskiy Kolyma |
genre |
Arctic Arctic Ocean Cherskiy Climate change kolyma river permafrost Siberia |
genre_facet |
Arctic Arctic Ocean Cherskiy Climate change kolyma river permafrost Siberia |
op_source |
Geography |
op_relation |
https://commons.clarku.edu/faculty_geography/236 doi:10.1029/2010JG001634 https://commons.clarku.edu/context/faculty_geography/article/1235/viewcontent/GeogFacWorks_Frey_SpatialInterannual_2011.pdf |
op_doi |
https://doi.org/10.1029/2010JG001634 |
container_title |
Journal of Geophysical Research |
container_volume |
116 |
container_issue |
G3 |
_version_ |
1776198400816971776 |