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: Lindgren, Prajna, Grosse, Guido, Meyer, Franz, Anthony, Katey
Format: Article in Journal/Newspaper
Language:unknown
Published: MDPI 2019
Subjects:
Ice
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
id ftawi:oai:epic.awi.de:49491
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spelling 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
collection 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
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