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		<title>Publications by K. Abbott</title>
		<link>http://cfs.nrcan.gc.ca/authors/read/19282?lang=en_CA</link>
		<description>Publications by K. Abbott</description>
		<language>en-ca</language>
		<pubDate>2007-03-16 00:00:00 MST</pubDate>
		<lastBuildDate>2007-03-16 00:00:00 MST</lastBuildDate>
		<webMaster>webmaster@nofc.cfs.nrcan.gc.ca</webMaster>
		        		<item>
			<title>Fire danger monitoring using RADARSAT-1 over northern boreal forests</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=26773</link>
			<description></description>
			<pubDate>Fri, 16 Mar 2007</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=26773</guid>
		</item>
		        		<item>
			<title>Predicting forest floor moisture for burned and unburned Pinus banksiana forests in the Canadian Northwest Territories</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=26735</link>
			<description>We assessed how well the fuel moisture codes of the Canadian Forest Fire Weather Index System can be used to predict forest floor moisture in burned and in mature, unburned jack pine (Pinus banksiana Lamb.) stands in 
Canada’s Northwest Territories. Moisture content sampled at varying depths in the forest floor profile was compared with hourly variations in the Fine Fuel Moisture Code and daily variations in the Duff Moisture Code and Drought Code. Fuel moisture samples were collected in June 2000 and August 2002 from one mature forest stand and four experimental plots that were burned between 1997 and 2000. Forest floor moisture, drying rate, and water-holding capacity varied between the mature, unburned forest and burned plot areas, as well as between surface and subsurface fuel layers within the mature forest. The Duff Moisture Code was the best predictor of forest floor moisture for all the fuel components examined, based on the coefficient of determination (r2 =0.81–0.90) and because its relationship with forest floor moisture more closely resembled relationships observed in previous studies.</description>
			<pubDate>Tue, 20 Feb 2007</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=26735</guid>
		</item>
		        		<item>
			<title>Use of optical, thermal infrared and radar remote sensing for monitoring fuel moisture conditions</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=23683</link>
			<description>Our study presents results acquired over boreal coniferous forests located in the Mackenzie River basin, Northwest Territories, Canada.  NOAA-AVHRR optical and thermal infrared images and SAR images from ERS-1 and RADARSAT were correlated to the Canadian Forest Fire Danger Rating System (CFFDRS) Fire Weather Index (FWI) codes and indices, which were used here as a surrogate of fuel moisture.  Results showed that FWI codes and indices were related to optical and thermal infared NOAA-AVHRR data or SAR data, but the relationship was more or less strong with either fast-drying fuel codes or slow-drying fuel codes and indices, depending on the case.  The study suggests that the most promising use of satellite images for fire danger rating monitoring is through the combination of optical and thermal infrared images to radar images.</description>
			<pubDate>Tue, 13 Jan 2004</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=23683</guid>
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