Characterisation of Arctic treelines by LiDAR and multispectral imagery
ABSTRACT The Arctic treeline, or more precisely the tundra-taiga interface (TTI) region, is poorly defined and characterised despite its high climatological significance. The international coordinated research programme ‘ PPS Arctic ’, under the auspices of the International Polar Year, represents o...
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2007
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crcambridgeupr:10.1017/s0032247407006511 2024-06-23T07:49:34+00:00 Characterisation of Arctic treelines by LiDAR and multispectral imagery Rees, W. G. 2007 http://dx.doi.org/10.1017/s0032247407006511 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247407006511 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Polar Record volume 43, issue 4, page 345-352 ISSN 0032-2474 1475-3057 journal-article 2007 crcambridgeupr https://doi.org/10.1017/s0032247407006511 2024-06-12T04:04:55Z ABSTRACT The Arctic treeline, or more precisely the tundra-taiga interface (TTI) region, is poorly defined and characterised despite its high climatological significance. The international coordinated research programme ‘ PPS Arctic ’, under the auspices of the International Polar Year, represents one response to this gap in our knowledge. This paper presents preliminary work within one of the four principal research areas of PPS Arctic , the characterisation of spatial variations in vegetation, land cover and land use in the TTI using remote sensing methods. Airborne remote sensing data were collected from a 120 km 2 TTI study site near Porsangmoen, Finnmark, Norway in 2004 and 2005. Three datasets were acquired: two sets of multispectral visible-infrared imagery with spatial resolutions of around 3 m, and airborne scanning LiDAR data with a horizontal resolution of 2 m and a vertical precision of around 0.2 m. While some difficulties were experienced in processing and analysing the imagery, the LiDAR data proved exceptionally well suited to the task of characterising the structure of the forest edge. Preliminary analyses were strongly suggestive of fractal characteristics, with corresponding consequences for the scale-dependence of descriptors such as canopy density and the location of the forest edge. Article in Journal/Newspaper Arctic Finnmark International Polar Year Polar Record taiga Tundra Finnmark Cambridge University Press Arctic Norway Polar Record 43 4 345 352 |
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Open Polar |
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Cambridge University Press |
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crcambridgeupr |
language |
English |
description |
ABSTRACT The Arctic treeline, or more precisely the tundra-taiga interface (TTI) region, is poorly defined and characterised despite its high climatological significance. The international coordinated research programme ‘ PPS Arctic ’, under the auspices of the International Polar Year, represents one response to this gap in our knowledge. This paper presents preliminary work within one of the four principal research areas of PPS Arctic , the characterisation of spatial variations in vegetation, land cover and land use in the TTI using remote sensing methods. Airborne remote sensing data were collected from a 120 km 2 TTI study site near Porsangmoen, Finnmark, Norway in 2004 and 2005. Three datasets were acquired: two sets of multispectral visible-infrared imagery with spatial resolutions of around 3 m, and airborne scanning LiDAR data with a horizontal resolution of 2 m and a vertical precision of around 0.2 m. While some difficulties were experienced in processing and analysing the imagery, the LiDAR data proved exceptionally well suited to the task of characterising the structure of the forest edge. Preliminary analyses were strongly suggestive of fractal characteristics, with corresponding consequences for the scale-dependence of descriptors such as canopy density and the location of the forest edge. |
format |
Article in Journal/Newspaper |
author |
Rees, W. G. |
spellingShingle |
Rees, W. G. Characterisation of Arctic treelines by LiDAR and multispectral imagery |
author_facet |
Rees, W. G. |
author_sort |
Rees, W. G. |
title |
Characterisation of Arctic treelines by LiDAR and multispectral imagery |
title_short |
Characterisation of Arctic treelines by LiDAR and multispectral imagery |
title_full |
Characterisation of Arctic treelines by LiDAR and multispectral imagery |
title_fullStr |
Characterisation of Arctic treelines by LiDAR and multispectral imagery |
title_full_unstemmed |
Characterisation of Arctic treelines by LiDAR and multispectral imagery |
title_sort |
characterisation of arctic treelines by lidar and multispectral imagery |
publisher |
Cambridge University Press (CUP) |
publishDate |
2007 |
url |
http://dx.doi.org/10.1017/s0032247407006511 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247407006511 |
geographic |
Arctic Norway |
geographic_facet |
Arctic Norway |
genre |
Arctic Finnmark International Polar Year Polar Record taiga Tundra Finnmark |
genre_facet |
Arctic Finnmark International Polar Year Polar Record taiga Tundra Finnmark |
op_source |
Polar Record volume 43, issue 4, page 345-352 ISSN 0032-2474 1475-3057 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/s0032247407006511 |
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Polar Record |
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43 |
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4 |
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345 |
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352 |
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1802640045998342144 |