Remote sensing of oil spills on frozen ground
Abstract Remote-sensing methods, using electromagnetic radiation detected by airborne and spaceborne instruments, have the potential to revolutionise the investigation of oil contamination in high latitudes. Spaceborne monitoring, in particular, offers many advantages, including: obtaining data from...
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Cambridge University Press (CUP)
1999
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Online Access: | http://dx.doi.org/10.1017/s0032247400026292 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247400026292 |
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crcambridgeupr:10.1017/s0032247400026292 2024-06-23T07:56:19+00:00 Remote sensing of oil spills on frozen ground Rees, W. G. 1999 http://dx.doi.org/10.1017/s0032247400026292 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247400026292 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Polar Record volume 35, issue 192, page 19-24 ISSN 0032-2474 1475-3057 journal-article 1999 crcambridgeupr https://doi.org/10.1017/s0032247400026292 2024-06-05T04:04:03Z Abstract Remote-sensing methods, using electromagnetic radiation detected by airborne and spaceborne instruments, have the potential to revolutionise the investigation of oil contamination in high latitudes. Spaceborne monitoring, in particular, offers many advantages, including: obtaining data from relatively inaccessible areas; day and night, all-weather observations; regular monitoring opportunities; spatial resolution of 20 m or better; and areal coverage of 30,000 square kilometres or more. Calibrated, spatially registered data can be readily integrated into geographic information systems for evaluation and prediction of spill behaviour. However, very little investigation of this potential has yet been undertaken. This paper reviews the possibilities for monitoring soil characteristics, including thermal regime, the presence of contamination, and long-term consequences of spills, for topography, hydrology, and vegetation cover. Article in Journal/Newspaper Polar Record Cambridge University Press Polar Record 35 192 19 24 |
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Open Polar |
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Cambridge University Press |
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crcambridgeupr |
language |
English |
description |
Abstract Remote-sensing methods, using electromagnetic radiation detected by airborne and spaceborne instruments, have the potential to revolutionise the investigation of oil contamination in high latitudes. Spaceborne monitoring, in particular, offers many advantages, including: obtaining data from relatively inaccessible areas; day and night, all-weather observations; regular monitoring opportunities; spatial resolution of 20 m or better; and areal coverage of 30,000 square kilometres or more. Calibrated, spatially registered data can be readily integrated into geographic information systems for evaluation and prediction of spill behaviour. However, very little investigation of this potential has yet been undertaken. This paper reviews the possibilities for monitoring soil characteristics, including thermal regime, the presence of contamination, and long-term consequences of spills, for topography, hydrology, and vegetation cover. |
format |
Article in Journal/Newspaper |
author |
Rees, W. G. |
spellingShingle |
Rees, W. G. Remote sensing of oil spills on frozen ground |
author_facet |
Rees, W. G. |
author_sort |
Rees, W. G. |
title |
Remote sensing of oil spills on frozen ground |
title_short |
Remote sensing of oil spills on frozen ground |
title_full |
Remote sensing of oil spills on frozen ground |
title_fullStr |
Remote sensing of oil spills on frozen ground |
title_full_unstemmed |
Remote sensing of oil spills on frozen ground |
title_sort |
remote sensing of oil spills on frozen ground |
publisher |
Cambridge University Press (CUP) |
publishDate |
1999 |
url |
http://dx.doi.org/10.1017/s0032247400026292 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0032247400026292 |
genre |
Polar Record |
genre_facet |
Polar Record |
op_source |
Polar Record volume 35, issue 192, page 19-24 ISSN 0032-2474 1475-3057 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/s0032247400026292 |
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Polar Record |
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35 |
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192 |
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19 |
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24 |
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1802649337961906176 |