An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice
Thermokarst lakes in the Arctic and Subarctic release carbon from thawing permafrost in the form of methane and carbon dioxide with important implications for regional and global carbon cycles. Lake ice impedes the release of gas during the winter. For instance, bubbles released from lake sediments...
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Online Access: | https://epic.awi.de/id/eprint/49491/ https://epic.awi.de/id/eprint/49491/1/Lindgren_et_al_2019_RemSen.pdf https://doi.org/10.3390/rs11070822 https://hdl.handle.net/10013/epic.5769c5bb-2cad-48df-9f30-7b4df4171c64 |
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ftawi:oai:epic.awi.de:49491 2024-09-15T18:11:34+00:00 An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice Lindgren, Prajna Grosse, Guido Meyer, Franz Anthony, Katey 2019-04-05 application/pdf https://epic.awi.de/id/eprint/49491/ https://epic.awi.de/id/eprint/49491/1/Lindgren_et_al_2019_RemSen.pdf https://doi.org/10.3390/rs11070822 https://hdl.handle.net/10013/epic.5769c5bb-2cad-48df-9f30-7b4df4171c64 unknown MDPI https://epic.awi.de/id/eprint/49491/1/Lindgren_et_al_2019_RemSen.pdf Lindgren, P. , Grosse, G. orcid:0000-0001-5895-2141 , Meyer, F. and Anthony, K. (2019) An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice , Remote Sensing, 11 (7), p. 822 . doi:10.3390/rs11070822 <https://doi.org/10.3390/rs11070822> , hdl:10013/epic.5769c5bb-2cad-48df-9f30-7b4df4171c64 info:eu-repo/semantics/openAccess EPIC3Remote Sensing, MDPI, 11(7), pp. 822, ISSN: 2072-4292 Article isiRev info:eu-repo/semantics/article 2019 ftawi https://doi.org/10.3390/rs11070822 2024-06-24T04:22:11Z Thermokarst lakes in the Arctic and Subarctic release carbon from thawing permafrost in the form of methane and carbon dioxide with important implications for regional and global carbon cycles. Lake ice impedes the release of gas during the winter. For instance, bubbles released from lake sediments become trapped in downward growing lake ice, resulting in vertically-oriented bubble columns in the ice that are visible on the lake surface. We here describe a classification technique using an object-based image analysis (OBIA) framework to successfully map ebullition bubbles in airborne imagery of early winter ice on an interior Alaska thermokarst lake. Ebullition bubbles appear as white patches in high-resolution optical remote sensing images of snow-free lake ice acquired in early winter and, thus, can be mapped across whole lake areas. We used high-resolution (9–11 cm) aerial images acquired two and four days following freeze-up in the years 2011 and 2012, respectively. The design of multiresolution segmentation and region-specific classification rulesets allowed the identification of bubble features and separation from other confounding factors such as snow, submerged and floating vegetation, shadows, and open water. The OBIA technique had an accuracy of >95% for mapping ebullition bubble patches in early winter lake ice. Overall, we mapped 1195 and 1860 ebullition bubble patches in the 2011 and 2012 images, respectively. The percent surface area of lake ice covered with ebullition bubble patches for 2011 was 2.14% and for 2012 was 2.67%, representing a conservative whole lake estimate of bubble patches compared to ground surveys usually conducted on thicker ice 10 or more days after freeze-up. Our findings suggest that the information derived from high-resolution optical images of lake ice can supplement spatially limited field sampling methods to better estimate methane flux from individual lakes. The method can also be used to improve estimates of methane ebullition from numerous lakes within larger ... Article in Journal/Newspaper Ice permafrost Subarctic Thermokarst Alaska Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Remote Sensing 11 7 822 |
institution |
Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
Thermokarst lakes in the Arctic and Subarctic release carbon from thawing permafrost in the form of methane and carbon dioxide with important implications for regional and global carbon cycles. Lake ice impedes the release of gas during the winter. For instance, bubbles released from lake sediments become trapped in downward growing lake ice, resulting in vertically-oriented bubble columns in the ice that are visible on the lake surface. We here describe a classification technique using an object-based image analysis (OBIA) framework to successfully map ebullition bubbles in airborne imagery of early winter ice on an interior Alaska thermokarst lake. Ebullition bubbles appear as white patches in high-resolution optical remote sensing images of snow-free lake ice acquired in early winter and, thus, can be mapped across whole lake areas. We used high-resolution (9–11 cm) aerial images acquired two and four days following freeze-up in the years 2011 and 2012, respectively. The design of multiresolution segmentation and region-specific classification rulesets allowed the identification of bubble features and separation from other confounding factors such as snow, submerged and floating vegetation, shadows, and open water. The OBIA technique had an accuracy of >95% for mapping ebullition bubble patches in early winter lake ice. Overall, we mapped 1195 and 1860 ebullition bubble patches in the 2011 and 2012 images, respectively. The percent surface area of lake ice covered with ebullition bubble patches for 2011 was 2.14% and for 2012 was 2.67%, representing a conservative whole lake estimate of bubble patches compared to ground surveys usually conducted on thicker ice 10 or more days after freeze-up. Our findings suggest that the information derived from high-resolution optical images of lake ice can supplement spatially limited field sampling methods to better estimate methane flux from individual lakes. The method can also be used to improve estimates of methane ebullition from numerous lakes within larger ... |
format |
Article in Journal/Newspaper |
author |
Lindgren, Prajna Grosse, Guido Meyer, Franz Anthony, Katey |
spellingShingle |
Lindgren, Prajna Grosse, Guido Meyer, Franz Anthony, Katey An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice |
author_facet |
Lindgren, Prajna Grosse, Guido Meyer, Franz Anthony, Katey |
author_sort |
Lindgren, Prajna |
title |
An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice |
title_short |
An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice |
title_full |
An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice |
title_fullStr |
An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice |
title_full_unstemmed |
An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice |
title_sort |
object-based classification method to detect methane ebullition bubbles in early winter lake ice |
publisher |
MDPI |
publishDate |
2019 |
url |
https://epic.awi.de/id/eprint/49491/ https://epic.awi.de/id/eprint/49491/1/Lindgren_et_al_2019_RemSen.pdf https://doi.org/10.3390/rs11070822 https://hdl.handle.net/10013/epic.5769c5bb-2cad-48df-9f30-7b4df4171c64 |
genre |
Ice permafrost Subarctic Thermokarst Alaska |
genre_facet |
Ice permafrost Subarctic Thermokarst Alaska |
op_source |
EPIC3Remote Sensing, MDPI, 11(7), pp. 822, ISSN: 2072-4292 |
op_relation |
https://epic.awi.de/id/eprint/49491/1/Lindgren_et_al_2019_RemSen.pdf Lindgren, P. , Grosse, G. orcid:0000-0001-5895-2141 , Meyer, F. and Anthony, K. (2019) An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice , Remote Sensing, 11 (7), p. 822 . doi:10.3390/rs11070822 <https://doi.org/10.3390/rs11070822> , hdl:10013/epic.5769c5bb-2cad-48df-9f30-7b4df4171c64 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/rs11070822 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
7 |
container_start_page |
822 |
_version_ |
1810449164232818688 |