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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Bibliographic Details
Published in:Remote Sensing
Main Authors: Prajna Lindgren, Guido Grosse, Franz J. Meyer, Katey Walter Anthony
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2019
Subjects:
Q
Ice
Online Access:https://doi.org/10.3390/rs11070822
https://doaj.org/article/3ce701ea234647649e7f5cac729f7ee7
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spelling ftdoajarticles:oai:doaj.org/article:3ce701ea234647649e7f5cac729f7ee7 2023-05-15T15:17:12+02:00 An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice Prajna Lindgren Guido Grosse Franz J. Meyer Katey Walter Anthony 2019-04-01T00:00:00Z https://doi.org/10.3390/rs11070822 https://doaj.org/article/3ce701ea234647649e7f5cac729f7ee7 EN eng MDPI AG https://www.mdpi.com/2072-4292/11/7/822 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11070822 https://doaj.org/article/3ce701ea234647649e7f5cac729f7ee7 Remote Sensing, Vol 11, Iss 7, p 822 (2019) methane ebullition mapping lake ice object-based image classification aerial photography thermokarst lake permafrost carbon feedback Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11070822 2022-12-31T11:26:14Z 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 Arctic Ice permafrost Subarctic Thermokarst Alaska Directory of Open Access Journals: DOAJ Articles Arctic Winter Lake ENVELOPE(-112.918,-112.918,64.484,64.484) Remote Sensing 11 7 822
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic methane ebullition mapping
lake ice
object-based image classification
aerial photography
thermokarst lake
permafrost carbon feedback
Science
Q
spellingShingle methane ebullition mapping
lake ice
object-based image classification
aerial photography
thermokarst lake
permafrost carbon feedback
Science
Q
Prajna Lindgren
Guido Grosse
Franz J. Meyer
Katey Walter Anthony
An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice
topic_facet methane ebullition mapping
lake ice
object-based image classification
aerial photography
thermokarst lake
permafrost carbon feedback
Science
Q
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 Prajna Lindgren
Guido Grosse
Franz J. Meyer
Katey Walter Anthony
author_facet Prajna Lindgren
Guido Grosse
Franz J. Meyer
Katey Walter Anthony
author_sort Prajna Lindgren
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 AG
publishDate 2019
url https://doi.org/10.3390/rs11070822
https://doaj.org/article/3ce701ea234647649e7f5cac729f7ee7
long_lat ENVELOPE(-112.918,-112.918,64.484,64.484)
geographic Arctic
Winter Lake
geographic_facet Arctic
Winter Lake
genre Arctic
Ice
permafrost
Subarctic
Thermokarst
Alaska
genre_facet Arctic
Ice
permafrost
Subarctic
Thermokarst
Alaska
op_source Remote Sensing, Vol 11, Iss 7, p 822 (2019)
op_relation https://www.mdpi.com/2072-4292/11/7/822
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs11070822
https://doaj.org/article/3ce701ea234647649e7f5cac729f7ee7
op_doi https://doi.org/10.3390/rs11070822
container_title Remote Sensing
container_volume 11
container_issue 7
container_start_page 822
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