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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Published in:Remote Sensing
Main Authors: Prajna Lindgren, Guido Grosse, Franz J. Meyer, Katey Walter Anthony
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Subjects:
Ice
Online Access:https://doi.org/10.3390/rs11070822
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spelling ftmdpi:oai:mdpi.com:/2072-4292/11/7/822/ 2023-08-20T04:05:01+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 agris 2019-04-05 application/pdf https://doi.org/10.3390/rs11070822 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs11070822 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 7; Pages: 822 methane ebullition mapping lake ice object-based image classification aerial photography thermokarst lake permafrost carbon feedback Text 2019 ftmdpi https://doi.org/10.3390/rs11070822 2023-07-31T22:10:24Z 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 ... Text Arctic Ice permafrost Subarctic Thermokarst Alaska MDPI Open Access Publishing Arctic Winter Lake ENVELOPE(-112.918,-112.918,64.484,64.484) Remote Sensing 11 7 822
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic methane ebullition mapping
lake ice
object-based image classification
aerial photography
thermokarst lake
permafrost carbon feedback
spellingShingle methane ebullition mapping
lake ice
object-based image classification
aerial photography
thermokarst lake
permafrost carbon feedback
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
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 Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2019
url https://doi.org/10.3390/rs11070822
op_coverage agris
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; Volume 11; Issue 7; Pages: 822
op_relation Remote Sensing in Geology, Geomorphology and Hydrology
https://dx.doi.org/10.3390/rs11070822
op_rights https://creativecommons.org/licenses/by/4.0/
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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