A method for trend-based change analysis in Arctic tundra using the 25-year Landsat archive
ABSTRACT Remote sensing has provided evidence of vegetation changes in Arctic tundra that may be attributable to recent climate warming. These changes are evident from local scales as expanding shrub cover observed in aerial photos, to continental scales as greening trends based on satellite vegetat...
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crcambridgeupr:10.1017/s0032247411000477 2024-09-15T18:31:20+00:00 A method for trend-based change analysis in Arctic tundra using the 25-year Landsat archive Fraser, Robert Olthof, Ian Carrière, Mélanie Deschamps, Alice Pouliot, Darren 2011 http://dx.doi.org/10.1017/s0032247411000477 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247411000477 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Polar Record volume 48, issue 1, page 83-93 ISSN 0032-2474 1475-3057 journal-article 2011 crcambridgeupr https://doi.org/10.1017/s0032247411000477 2024-08-07T04:02:36Z ABSTRACT Remote sensing has provided evidence of vegetation changes in Arctic tundra that may be attributable to recent climate warming. These changes are evident from local scales as expanding shrub cover observed in aerial photos, to continental scales as greening trends based on satellite vegetation indices. One challenge in applying conventional two date, satellite change detection in tundra environments is the short growing season observation window, combined with high inter-annual variability in vegetation conditions. We present an alternative approach for investigating tundra vegetation and surface cover changes based on trend analysis of long-term (1985-present) Landsat TM/ETM+ image stacks. The Tasseled Cap brightness, greenness, and wetness indices, representing linear transformations of the optical channels, are analysed for per-pixel trends using robust linear regression. The index trends are then related to changes in fractional shrub and other vegetation covers using a regression tree classifier trained with high resolution land cover. Fractional trends can be summarised by vegetation or ecosystem type to reveal any consistent patterns. Example results are shown for a 3 000 km 2 study area in northern Yukon, Canada where index and fractional changes are related to growth of vascular plants and coastal erosion. Article in Journal/Newspaper Polar Record Tundra Yukon Cambridge University Press Polar Record 48 1 83 93 |
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Open Polar |
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Cambridge University Press |
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crcambridgeupr |
language |
English |
description |
ABSTRACT Remote sensing has provided evidence of vegetation changes in Arctic tundra that may be attributable to recent climate warming. These changes are evident from local scales as expanding shrub cover observed in aerial photos, to continental scales as greening trends based on satellite vegetation indices. One challenge in applying conventional two date, satellite change detection in tundra environments is the short growing season observation window, combined with high inter-annual variability in vegetation conditions. We present an alternative approach for investigating tundra vegetation and surface cover changes based on trend analysis of long-term (1985-present) Landsat TM/ETM+ image stacks. The Tasseled Cap brightness, greenness, and wetness indices, representing linear transformations of the optical channels, are analysed for per-pixel trends using robust linear regression. The index trends are then related to changes in fractional shrub and other vegetation covers using a regression tree classifier trained with high resolution land cover. Fractional trends can be summarised by vegetation or ecosystem type to reveal any consistent patterns. Example results are shown for a 3 000 km 2 study area in northern Yukon, Canada where index and fractional changes are related to growth of vascular plants and coastal erosion. |
format |
Article in Journal/Newspaper |
author |
Fraser, Robert Olthof, Ian Carrière, Mélanie Deschamps, Alice Pouliot, Darren |
spellingShingle |
Fraser, Robert Olthof, Ian Carrière, Mélanie Deschamps, Alice Pouliot, Darren A method for trend-based change analysis in Arctic tundra using the 25-year Landsat archive |
author_facet |
Fraser, Robert Olthof, Ian Carrière, Mélanie Deschamps, Alice Pouliot, Darren |
author_sort |
Fraser, Robert |
title |
A method for trend-based change analysis in Arctic tundra using the 25-year Landsat archive |
title_short |
A method for trend-based change analysis in Arctic tundra using the 25-year Landsat archive |
title_full |
A method for trend-based change analysis in Arctic tundra using the 25-year Landsat archive |
title_fullStr |
A method for trend-based change analysis in Arctic tundra using the 25-year Landsat archive |
title_full_unstemmed |
A method for trend-based change analysis in Arctic tundra using the 25-year Landsat archive |
title_sort |
method for trend-based change analysis in arctic tundra using the 25-year landsat archive |
publisher |
Cambridge University Press (CUP) |
publishDate |
2011 |
url |
http://dx.doi.org/10.1017/s0032247411000477 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247411000477 |
genre |
Polar Record Tundra Yukon |
genre_facet |
Polar Record Tundra Yukon |
op_source |
Polar Record volume 48, issue 1, page 83-93 ISSN 0032-2474 1475-3057 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/s0032247411000477 |
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Polar Record |
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48 |
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1 |
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83 |
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93 |
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1810472956102443008 |