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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Main Authors: Prajna Lindgren, Guido Grosse, Franz J. Meyer, Katey Walter Anthony
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/7/822
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spelling doaj-3ce701ea234647649e7f5cac729f7ee72020-11-24T22:10:57ZengMDPI AGRemote Sensing2072-42922019-04-0111782210.3390/rs11070822rs11070822An Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake IcePrajna Lindgren0Guido Grosse1Franz J. Meyer2Katey Walter Anthony3Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK 99775, USAAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, 14473 Potsdam, GermanyGeophysical Institute, University of Alaska Fairbanks, Fairbanks, AK 99775, USAWater and Environmental Research Center, University of Alaska Fairbanks, Fairbanks, AK 99775, USAThermokarst 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 regions.https://www.mdpi.com/2072-4292/11/7/822methane ebullition mappinglake iceobject-based image classificationaerial photographythermokarst lakepermafrost carbon feedback
collection DOAJ
language English
format Article
sources DOAJ
author Prajna Lindgren
Guido Grosse
Franz J. Meyer
Katey Walter Anthony
spellingShingle 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
Remote Sensing
methane ebullition mapping
lake ice
object-based image classification
aerial photography
thermokarst lake
permafrost carbon feedback
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
series Remote Sensing
issn 2072-4292
publishDate 2019-04-01
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 regions.
topic methane ebullition mapping
lake ice
object-based image classification
aerial photography
thermokarst lake
permafrost carbon feedback
url https://www.mdpi.com/2072-4292/11/7/822
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