The geometry of large Arctic tundra lakes observed in historical maps and satellite images

The climate of the Arctic is warming rapidly and this is causing major changes to the cycling of carbon and the distribution of permafrost in this region. Tundra lakes are key components of the Arctic climate system because they represent a source of methane to the atmosphere. In this paper, we aim...

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Published in:Remote Sensing
Main Authors: Sudakov, I, Essa, A, Mander, Luke, Gong, M, Kariyawaam, T
Format: Article in Journal/Newspaper
Language:unknown
Published: 2017
Subjects:
Online Access:https://oro.open.ac.uk/70425/
https://oro.open.ac.uk/70425/1/Sudakov%20et%20al.%20Remote%20sensing%20tundra%20lakes.pdf
https://doi.org/10.3390/rs9101072
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spelling ftopenunivgb:oai:oro.open.ac.uk:70425 2023-06-11T04:07:35+02:00 The geometry of large Arctic tundra lakes observed in historical maps and satellite images Sudakov, I Essa, A Mander, Luke Gong, M Kariyawaam, T 2017 application/pdf https://oro.open.ac.uk/70425/ https://oro.open.ac.uk/70425/1/Sudakov%20et%20al.%20Remote%20sensing%20tundra%20lakes.pdf https://doi.org/10.3390/rs9101072 unknown https://oro.open.ac.uk/70425/1/Sudakov%20et%20al.%20Remote%20sensing%20tundra%20lakes.pdf Sudakov, I; Essa, A; Mander, Luke <http://oro.open.ac.uk/view/person/lm27397.html>; Gong, M and Kariyawaam, T (2017). The geometry of large Arctic tundra lakes observed in historical maps and satellite images. Remote Sensing, 9, article no. 1072. Journal Item Public PeerReviewed 2017 ftopenunivgb https://doi.org/10.3390/rs9101072 2023-05-28T06:03:31Z The climate of the Arctic is warming rapidly and this is causing major changes to the cycling of carbon and the distribution of permafrost in this region. Tundra lakes are key components of the Arctic climate system because they represent a source of methane to the atmosphere. In this paper, we aim to analyze the geometry of the patterns formed by large (> 0.8 km 2 ) tundra lakes in the Russian High Arctic. We have studied images of tundra lakes in historical maps from the State Hydrological Institute, Russia (date 1977; scale 0.21166 km/pixel) and in Landsat satellite images derived from the Google Earth Engine (G.E.E.; date 2016; scale 0.1503 km/pixel). The G.E.E. is a cloud-based platform for planetary-scale geospatial analysis on over four decades of Landsat data. We developed an image-processing algorithm to segment these maps and images, measure the area and perimeter of each lake, and compute the fractal dimension of the lakes in the images we have studied. Our results indicate that as lake size increases, their fractal dimension bifurcates. For lakes observed in historical maps, this bifurcation occurs among lakes larger than 100 km 2 (fractal dimension 1.43 to 1.87). For lakes observed in satellite images this bifurcation occurs among lakes larger than ∼100 km 2 (fractal dimension 1.31 to 1.95). Tundra lakes with a fractal dimension close to 2 have a tendency to be self-similar with respect to their area–perimeter relationships. Area–perimeter measurements indicate that lakes with a length scale greater than 70 km 2 are power-law distributed. Preliminary analysis of changes in lake size over time in paired lakes (lakes that were visually matched in both the historical map and the satellite imagery) indicate that some lakes in our study region have increased in size over time, whereas others have decreased in size over time. Lake size change during this 39-year time interval can be up to half the size of the lake as recorded in the historical map. Article in Journal/Newspaper Arctic Arctic permafrost Tundra The Open University: Open Research Online (ORO) Arctic Remote Sensing 9 10 1072
institution Open Polar
collection The Open University: Open Research Online (ORO)
op_collection_id ftopenunivgb
language unknown
description The climate of the Arctic is warming rapidly and this is causing major changes to the cycling of carbon and the distribution of permafrost in this region. Tundra lakes are key components of the Arctic climate system because they represent a source of methane to the atmosphere. In this paper, we aim to analyze the geometry of the patterns formed by large (> 0.8 km 2 ) tundra lakes in the Russian High Arctic. We have studied images of tundra lakes in historical maps from the State Hydrological Institute, Russia (date 1977; scale 0.21166 km/pixel) and in Landsat satellite images derived from the Google Earth Engine (G.E.E.; date 2016; scale 0.1503 km/pixel). The G.E.E. is a cloud-based platform for planetary-scale geospatial analysis on over four decades of Landsat data. We developed an image-processing algorithm to segment these maps and images, measure the area and perimeter of each lake, and compute the fractal dimension of the lakes in the images we have studied. Our results indicate that as lake size increases, their fractal dimension bifurcates. For lakes observed in historical maps, this bifurcation occurs among lakes larger than 100 km 2 (fractal dimension 1.43 to 1.87). For lakes observed in satellite images this bifurcation occurs among lakes larger than ∼100 km 2 (fractal dimension 1.31 to 1.95). Tundra lakes with a fractal dimension close to 2 have a tendency to be self-similar with respect to their area–perimeter relationships. Area–perimeter measurements indicate that lakes with a length scale greater than 70 km 2 are power-law distributed. Preliminary analysis of changes in lake size over time in paired lakes (lakes that were visually matched in both the historical map and the satellite imagery) indicate that some lakes in our study region have increased in size over time, whereas others have decreased in size over time. Lake size change during this 39-year time interval can be up to half the size of the lake as recorded in the historical map.
format Article in Journal/Newspaper
author Sudakov, I
Essa, A
Mander, Luke
Gong, M
Kariyawaam, T
spellingShingle Sudakov, I
Essa, A
Mander, Luke
Gong, M
Kariyawaam, T
The geometry of large Arctic tundra lakes observed in historical maps and satellite images
author_facet Sudakov, I
Essa, A
Mander, Luke
Gong, M
Kariyawaam, T
author_sort Sudakov, I
title The geometry of large Arctic tundra lakes observed in historical maps and satellite images
title_short The geometry of large Arctic tundra lakes observed in historical maps and satellite images
title_full The geometry of large Arctic tundra lakes observed in historical maps and satellite images
title_fullStr The geometry of large Arctic tundra lakes observed in historical maps and satellite images
title_full_unstemmed The geometry of large Arctic tundra lakes observed in historical maps and satellite images
title_sort geometry of large arctic tundra lakes observed in historical maps and satellite images
publishDate 2017
url https://oro.open.ac.uk/70425/
https://oro.open.ac.uk/70425/1/Sudakov%20et%20al.%20Remote%20sensing%20tundra%20lakes.pdf
https://doi.org/10.3390/rs9101072
geographic Arctic
geographic_facet Arctic
genre Arctic
Arctic
permafrost
Tundra
genre_facet Arctic
Arctic
permafrost
Tundra
op_relation https://oro.open.ac.uk/70425/1/Sudakov%20et%20al.%20Remote%20sensing%20tundra%20lakes.pdf
Sudakov, I; Essa, A; Mander, Luke <http://oro.open.ac.uk/view/person/lm27397.html>; Gong, M and Kariyawaam, T (2017). The geometry of large Arctic tundra lakes observed in historical maps and satellite images. Remote Sensing, 9, article no. 1072.
op_doi https://doi.org/10.3390/rs9101072
container_title Remote Sensing
container_volume 9
container_issue 10
container_start_page 1072
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