Development of Methods for Detection and Monitoring of Fire Disturbance in the Alaskan Tundra Using a Two-Decade Long Record of Synthetic Aperture Radar Satellite Images
Using the extensive archive of historical ERS-1 and -2 synthetic aperture radar (SAR) images, this analysis demonstrates that fire disturbance can be effectively detected and monitored in high northern latitudes using radar technology. A total of 392 SAR images from May to August spanning 1992–2010...
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ftdoajarticles:oai:doaj.org/article:e481653c2fc84e90b59a290fae0916be 2023-05-15T15:05:05+02:00 Development of Methods for Detection and Monitoring of Fire Disturbance in the Alaskan Tundra Using a Two-Decade Long Record of Synthetic Aperture Radar Satellite Images Liza K. Jenkins Laura L. Bourgeau-Chavez Nancy H. F. French Tatiana V. Loboda Brian J. Thelen 2014-07-01T00:00:00Z https://doi.org/10.3390/rs6076347 https://doaj.org/article/e481653c2fc84e90b59a290fae0916be EN eng MDPI AG http://www.mdpi.com/2072-4292/6/7/6347 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs6076347 https://doaj.org/article/e481653c2fc84e90b59a290fae0916be Remote Sensing, Vol 6, Iss 7, Pp 6347-6364 (2014) synthetic aperture radar wildland fire tundra Alaska Arctic Science Q article 2014 ftdoajarticles https://doi.org/10.3390/rs6076347 2022-12-31T15:19:26Z Using the extensive archive of historical ERS-1 and -2 synthetic aperture radar (SAR) images, this analysis demonstrates that fire disturbance can be effectively detected and monitored in high northern latitudes using radar technology. A total of 392 SAR images from May to August spanning 1992–2010 were analyzed from three study fires in the Alaskan tundra. The investigated fires included the 2007 Anaktuvuk River Fire and the 1993 DCKN178 Fire on the North Slope of Alaska and the 1999 Uvgoon Creek Fire in the Noatak National Preserve. A 3 dB difference was found between burned and unburned tundra, with the best time for burned area detection being as late in the growing season as possible before frozen ground conditions develop. This corresponds to mid-August for the study fires. In contrast to electro-optical studies from the same region, measures of landscape recovery as detected by the SAR were on the order of four to five years instead of one. Article in Journal/Newspaper Arctic north slope Tundra Alaska Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 6 7 6347 6364 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
synthetic aperture radar wildland fire tundra Alaska Arctic Science Q |
spellingShingle |
synthetic aperture radar wildland fire tundra Alaska Arctic Science Q Liza K. Jenkins Laura L. Bourgeau-Chavez Nancy H. F. French Tatiana V. Loboda Brian J. Thelen Development of Methods for Detection and Monitoring of Fire Disturbance in the Alaskan Tundra Using a Two-Decade Long Record of Synthetic Aperture Radar Satellite Images |
topic_facet |
synthetic aperture radar wildland fire tundra Alaska Arctic Science Q |
description |
Using the extensive archive of historical ERS-1 and -2 synthetic aperture radar (SAR) images, this analysis demonstrates that fire disturbance can be effectively detected and monitored in high northern latitudes using radar technology. A total of 392 SAR images from May to August spanning 1992–2010 were analyzed from three study fires in the Alaskan tundra. The investigated fires included the 2007 Anaktuvuk River Fire and the 1993 DCKN178 Fire on the North Slope of Alaska and the 1999 Uvgoon Creek Fire in the Noatak National Preserve. A 3 dB difference was found between burned and unburned tundra, with the best time for burned area detection being as late in the growing season as possible before frozen ground conditions develop. This corresponds to mid-August for the study fires. In contrast to electro-optical studies from the same region, measures of landscape recovery as detected by the SAR were on the order of four to five years instead of one. |
format |
Article in Journal/Newspaper |
author |
Liza K. Jenkins Laura L. Bourgeau-Chavez Nancy H. F. French Tatiana V. Loboda Brian J. Thelen |
author_facet |
Liza K. Jenkins Laura L. Bourgeau-Chavez Nancy H. F. French Tatiana V. Loboda Brian J. Thelen |
author_sort |
Liza K. Jenkins |
title |
Development of Methods for Detection and Monitoring of Fire Disturbance in the Alaskan Tundra Using a Two-Decade Long Record of Synthetic Aperture Radar Satellite Images |
title_short |
Development of Methods for Detection and Monitoring of Fire Disturbance in the Alaskan Tundra Using a Two-Decade Long Record of Synthetic Aperture Radar Satellite Images |
title_full |
Development of Methods for Detection and Monitoring of Fire Disturbance in the Alaskan Tundra Using a Two-Decade Long Record of Synthetic Aperture Radar Satellite Images |
title_fullStr |
Development of Methods for Detection and Monitoring of Fire Disturbance in the Alaskan Tundra Using a Two-Decade Long Record of Synthetic Aperture Radar Satellite Images |
title_full_unstemmed |
Development of Methods for Detection and Monitoring of Fire Disturbance in the Alaskan Tundra Using a Two-Decade Long Record of Synthetic Aperture Radar Satellite Images |
title_sort |
development of methods for detection and monitoring of fire disturbance in the alaskan tundra using a two-decade long record of synthetic aperture radar satellite images |
publisher |
MDPI AG |
publishDate |
2014 |
url |
https://doi.org/10.3390/rs6076347 https://doaj.org/article/e481653c2fc84e90b59a290fae0916be |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic north slope Tundra Alaska |
genre_facet |
Arctic north slope Tundra Alaska |
op_source |
Remote Sensing, Vol 6, Iss 7, Pp 6347-6364 (2014) |
op_relation |
http://www.mdpi.com/2072-4292/6/7/6347 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs6076347 https://doaj.org/article/e481653c2fc84e90b59a290fae0916be |
op_doi |
https://doi.org/10.3390/rs6076347 |
container_title |
Remote Sensing |
container_volume |
6 |
container_issue |
7 |
container_start_page |
6347 |
op_container_end_page |
6364 |
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1766336840676147200 |