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		<title>Publications by R. Landry</title>
		<link>http://cfs.nrcan.gc.ca/authors/read/16455</link>
		<description>Publications by R. Landry</description>
		<language>en-ca</language>
		<pubDate>2008-08-26 00:00:00 MST</pubDate>
		<lastBuildDate>2008-08-26 00:00:00 MST</lastBuildDate>
		<webMaster>webmaster@nofc.cfs.nrcan.gc.ca</webMaster>
		        		<item>
			<title>Remote sensing of burn severity:  experience from western Canada boreal fires</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=28883</link>
			<description>The severity of a burn for post-fire ecological effects has been assessed with the composite burn index (CBI) and the differenced Normalized Burn Ratio (dNBR). This study assessed the relationship between these two variables across recently burned areas located in the western Canadian boreal, a region not extensively evaluated in previous studies.  Of particular interest was to evaluate the nature of the CBI–dNBR relationship from the perspectives of modelling, the influence of fire behaviour prediction (FBP) fuel type, and how field observations could be incorporated into the burn severity mapping process.A non-linear model form best represented the relationship between these variables for the fires evaluated, and a similar statistical performance was achieved when data from all fires were pooled into a single dataset.  Results from this study suggest the potential to develop a single model for application over thewestern region of the boreal, but further evaluation is necessary. This evaluation could include stratification by FBP fuel type due to study results that document its apparent influence on dNBR values.A new approach for burn severity mapping was introduced by defining severity thresholds through field assessment of CBI, and from which development of new models could be incorporated directly into the mapping process.  </description>
			<pubDate>Tue, 26 Aug 2008</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=28883</guid>
		</item>
		        		<item>
			<title>Remote sensing of forest health:  current advances and challenges (Extended abstract).</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=28885</link>
			<description></description>
			<pubDate>Tue, 26 Aug 2008</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=28885</guid>
		</item>
		        		<item>
			<title>Mapping insect defoliation using multi-temporal Landsat data.  </title>
			<link>http://cfs.nrcan.gc.ca/publications?id=27754</link>
			<description></description>
			<pubDate>Tue, 06 Nov 2007</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=27754</guid>
		</item>
		        		<item>
			<title>Estimating direct carbon emissions from Canadian wildland fires</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=27669</link>
			<description>In support of Canada’s National Forest Carbon Monitoring, Accounting and Reporting System, a project was initiated to develop and test procedures for estimating direct carbon emissions from fires. The Canadian Wildland Fire Information System (CWFIS) provides the infrastructure for these procedures. Area burned and daily fire spread estimates are derived from satellite products. Spatially and temporally explicit indices of burning conditions for each fire are calculated by CWFIS using fire weather data. The Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) provides detailed forest type and leading species information, as well as pre-fire fuel load data. The Boreal Fire Effects Model calculates fuel consumption for different live biomass and dead organic matter pools in each burned cell according to fuel type, fuel load, burning conditions, and resulting fire behaviour. Carbon emissions are calculated from fuel consumption. CWFIS summarises the data in the form of disturbance matrices and provides spatially explicit estimates of area burned for national reporting. CBM-CFS3 integrates, at the national scale, these fire data with data on forest management and other disturbances. The methodology for estimating fire emissions was tested using a large-fire pilot study. A framework to implement the procedures at the national scale is described.</description>
			<pubDate>Mon, 29 Oct 2007</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=27669</guid>
		</item>
		        		<item>
			<title>Characterizing burn severity from remote sensing:  results from four fires in the boreal.</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=26816</link>
			<description></description>
			<pubDate>Mon, 26 Mar 2007</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=26816</guid>
		</item>
		        		<item>
			<title>Using MERIS to assess insect defoliation in Canadian aspen forests </title>
			<link>http://cfs.nrcan.gc.ca/publications?id=26778</link>
			<description></description>
			<pubDate>Mon, 19 Mar 2007</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=26778</guid>
		</item>
		        		<item>
			<title>Applying geographic information systems and remote sensing to forest fire monitoring, mapping and modelling in Canada</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=25111</link>
			<description>The Fire Monitoring, Mapping and Modelling System (Fire M3) is an initiative of the Canada Centre for Remote Sensing (CCRS) and the Canadian Forest Service (CFS), both agencies of Natural Resources Canada. The goals of Fire M3 are to use low-resolution satellite imagery to monitor actively burning fires on a daily basis; to estimate annual area burned; and to model fire behavior, biomass consumption, and carbon emissions from fires. Same-day fire products are made available on the Fire M3 web site and have been used for a variety of purposes including national reporting and climate change research. The daily operation of the system during the forest fire season involves 1) satellite image reception in Saskatchewan and Quebec; 2) production of geocoded, Canada-wide composite images at CCRS; 3) application of CCRS fire, smoke, and burned-area detection algorithms to produce raw fire products; 4) production of final daily fire products at CFS, including weather-based fire behavior modeling; and 5) dissemination of daily fire products on the Fire M3 web site within 12 hours of satellite reception.</description>
			<pubDate>Thu, 16 Dec 2004</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=25111</guid>
		</item>
		        		<item>
			<title>Validation and calibration of Canada-wide coarse-resolution satellite burned-area maps</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=24244</link>
			<description></description>
			<pubDate>Mon, 05 Apr 2004</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=24244</guid>
		</item>
		        		<item>
			<title>Applying geographic information systems and remote sensing to forest fire monitoring, mapping and modelling in Canada</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=20661</link>
			<description></description>
			<pubDate>Fri, 04 Oct 2002</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=20661</guid>
		</item>
		        		<item>
			<title>Burnt area mapping across Canada’s boreal forest zone using SPOT-VEGETATION calibrated with Landsat TM imagery</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=20651</link>
			<description></description>
			<pubDate>Thu, 03 Oct 2002</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=20651</guid>
		</item>
		        		<item>
			<title>Hierarchical characterization of canopy architecture for boreal forest</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=16583</link>
			<description></description>
			<pubDate>Tue, 22 Aug 2000</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=16583</guid>
		</item>
		        		<item>
			<title>Tree vectorization: a methodology to characterize fine tree architecture in support of remote sensing models</title>
			<link>http://cfs.nrcan.gc.ca/publications?id=16781</link>
			<description></description>
			<pubDate>Tue, 22 Aug 2000</pubDate>
			<guid>http://cfs.nrcan.gc.ca/publications?id=16781</guid>
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