Michigan Tech Research Institute (MTRI)  Michigan Technological University 3600 Green Court, Suite 100  Ann Arbor, MI 48105 (734) 913-6840 – Phone 

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Michigan Tech Research Institute (MTRI)  Michigan Technological University 3600 Green Court, Suite 100  Ann Arbor, MI (734) – Phone  (734) – Fax  Tatiana Loboda (University of Maryland) Nancy H.F. French Laura L. Bourgeau-Chavez Liza K. Jenkins 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 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 (below). Seasonal Analysis The best time for burned area detection is as late in the growing season as possible before frozen ground conditions develop. This corresponds to mid- August for the study fires. Intra-annual plots of backscatter one year post fire (right) within the entire burn perimeter (grey square) and polygon pairs (red corresponds to burn and blue to unburned) shows the difference between burned and unburned is smaller (0.1 to 0.6 dB) in early May, with the difference increasing over the growing season. Generally, the May data for all three fires showed variable response year-to-year but May images consistently showed less differentiation between burned and unburned signatures. Inter-annual Analysis Plots of the radiometric response over the entire ERS data record (above) clearly show the fire event (dashed line) and the lasting impact on the record. Fire scars are brightest one year post fire (below) with the brightness gradually decreasing each subsequent year post-fire. The fires evaluated are approximately 3.0 to 3.3 dB brighter than adjacent unburned areas during the end of the growing season one year post fire. The regions used in the analysis and defined by the homogeneous burned and unburned polygon pairs for Anaktuvuk River Fire (a), DCKN178 Fire (b), and Uvgoon Creek Fire (c) are shown on ERS images one year post fire (below). Fire Year of Burn Fire DurationFire Size Area Burned (km 2 ) Location Years of ERS SAR Data Available Anaktuvuk River 2007 July 16 - October 9 Large1,039 North Slope Foothills 15 pre- burn/ 3 post-burn Uvgoon Creek 1999 June 26 - August 3 Medium359 Noatak National Preserve 7 pre-burn/ 11 post- burn DCKN July 9 - August 17 Small68North Slope Foothills 1 pre-burn/ 16 post- burn Anaktuvuk River (a) DCKN178 (b)Uvgoon Creek (c) DCKN178 (b) Uvgoon Creek (c) For full study description and results, please see: Jenkins, Liza K.; Bourgeau-Chavez, Laura L.; French, Nancy H.F.; Loboda, Tatiana V.; Thelen, Brian J "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." Remote Sens. 6, no. 7: Brian J. Thelen Anaktuvuk River (a)DCKN178 (b)Uvgoon Creek (c) Anaktuvuk River (a) DCKN178 (b) Uvgoon Creek (c)