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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Published in:Remote Sensing
Main Authors: Liza K. Jenkins, Laura L. Bourgeau-Chavez, Nancy H. F. French, Tatiana V. Loboda, Brian J. Thelen
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2014
Subjects:
Q
Online Access:https://doi.org/10.3390/rs6076347
https://doaj.org/article/e481653c2fc84e90b59a290fae0916be
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spelling 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
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