Biophysical remote sensing of arctic environments
Various remote sensing studies have been conducted to investigate methods and applications of vegetation mapping and analysis in arctic environments. The general purpose of these studies is to extract information on the spatial and temporal distribution of vegetation as required for tundra ecosystem...
Published in: | Progress in Physical Geography: Earth and Environment |
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Online Access: | http://dx.doi.org/10.1191/0309133303pp358ra http://journals.sagepub.com/doi/pdf/10.1191/0309133303pp358ra |
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crsagepubl:10.1191/0309133303pp358ra 2024-09-09T19:21:20+00:00 Biophysical remote sensing of arctic environments Laidler, Gita J. Treitz, Paul 2003 http://dx.doi.org/10.1191/0309133303pp358ra http://journals.sagepub.com/doi/pdf/10.1191/0309133303pp358ra en eng SAGE Publications http://journals.sagepub.com/page/policies/text-and-data-mining-license Progress in Physical Geography: Earth and Environment volume 27, issue 1, page 44-68 ISSN 0309-1333 1477-0296 journal-article 2003 crsagepubl https://doi.org/10.1191/0309133303pp358ra 2024-08-19T04:29:21Z Various remote sensing studies have been conducted to investigate methods and applications of vegetation mapping and analysis in arctic environments. The general purpose of these studies is to extract information on the spatial and temporal distribution of vegetation as required for tundra ecosystem and climate change studies. Because of the recent emphasis on understanding natural systems at large spatial scales, there has been an increasing interest in deriving biophysical variables from satellite data. Satellite remote sensing offers potential for extrapolating, or ‘scaling up’ biophysical measures derived from local sites, to landscape and even regional scales. The most common investigations include mapping spatial vegetation patterns or assessing biophysical tundra characteristics, using medium resolution satellite data. For instance, Landsat TM data have been shown to be useful for broad vegetation mapping and analysis, but not accurately representative of smaller vegetation communities or local spatial variation. It is anticipated, that high spatial resolution remote sensing data, now available from commercial remote sensing satellites, will provide the necessary sampling scale to link field data to remotely sensed reflectance data. As a result, it is expected that these data will improve the representation of biophysical variables over sparsely vegetated regions of the Arctic. Article in Journal/Newspaper Arctic Climate change Tundra SAGE Publications Arctic Progress in Physical Geography: Earth and Environment 27 1 44 68 |
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English |
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Various remote sensing studies have been conducted to investigate methods and applications of vegetation mapping and analysis in arctic environments. The general purpose of these studies is to extract information on the spatial and temporal distribution of vegetation as required for tundra ecosystem and climate change studies. Because of the recent emphasis on understanding natural systems at large spatial scales, there has been an increasing interest in deriving biophysical variables from satellite data. Satellite remote sensing offers potential for extrapolating, or ‘scaling up’ biophysical measures derived from local sites, to landscape and even regional scales. The most common investigations include mapping spatial vegetation patterns or assessing biophysical tundra characteristics, using medium resolution satellite data. For instance, Landsat TM data have been shown to be useful for broad vegetation mapping and analysis, but not accurately representative of smaller vegetation communities or local spatial variation. It is anticipated, that high spatial resolution remote sensing data, now available from commercial remote sensing satellites, will provide the necessary sampling scale to link field data to remotely sensed reflectance data. As a result, it is expected that these data will improve the representation of biophysical variables over sparsely vegetated regions of the Arctic. |
format |
Article in Journal/Newspaper |
author |
Laidler, Gita J. Treitz, Paul |
spellingShingle |
Laidler, Gita J. Treitz, Paul Biophysical remote sensing of arctic environments |
author_facet |
Laidler, Gita J. Treitz, Paul |
author_sort |
Laidler, Gita J. |
title |
Biophysical remote sensing of arctic environments |
title_short |
Biophysical remote sensing of arctic environments |
title_full |
Biophysical remote sensing of arctic environments |
title_fullStr |
Biophysical remote sensing of arctic environments |
title_full_unstemmed |
Biophysical remote sensing of arctic environments |
title_sort |
biophysical remote sensing of arctic environments |
publisher |
SAGE Publications |
publishDate |
2003 |
url |
http://dx.doi.org/10.1191/0309133303pp358ra http://journals.sagepub.com/doi/pdf/10.1191/0309133303pp358ra |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Tundra |
genre_facet |
Arctic Climate change Tundra |
op_source |
Progress in Physical Geography: Earth and Environment volume 27, issue 1, page 44-68 ISSN 0309-1333 1477-0296 |
op_rights |
http://journals.sagepub.com/page/policies/text-and-data-mining-license |
op_doi |
https://doi.org/10.1191/0309133303pp358ra |
container_title |
Progress in Physical Geography: Earth and Environment |
container_volume |
27 |
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1 |
container_start_page |
44 |
op_container_end_page |
68 |
_version_ |
1809761537558052864 |