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	<title>Earth Data Analysis Center &#187; Remote Sensing Program</title>
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		<title>New Mexico LUCA Undercount Analysis</title>
		<link>http://edac.unm.edu/wordpress/2008/10/new-mexico-luca-undercount-analysis/</link>
		<comments>http://edac.unm.edu/wordpress/2008/10/new-mexico-luca-undercount-analysis/#comments</comments>
		<pubDate>Wed, 08 Oct 2008 16:48:57 +0000</pubDate>
		<dc:creator>Karl Benedict</dc:creator>
				<category><![CDATA[Completed Projects]]></category>
		<category><![CDATA[Data]]></category>
		<category><![CDATA[GIS]]></category>
		<category><![CDATA[GIS Program]]></category>
		<category><![CDATA[NM LUCA Undercount Analysis]]></category>
		<category><![CDATA[Remote Sensing]]></category>
		<category><![CDATA[Remote Sensing Program]]></category>
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		<description><![CDATA[<br/>EDAC, using digital aerial imagery, produced housing unit counts in ten of the most historically undercounted counties in New Mexico.  EDAC, in collaboration with UNM’s Bureau of Business and Economic Research (BBER) and under contract to the NM Department of Finance and Administration, addressed the population undercount in the Local Update of Census Addresses (LUCA) [...]]]></description>
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		<title>Public Health Applications in Remote Sensing (PHAiRS)</title>
		<link>http://edac.unm.edu/wordpress/2008/10/public-health-applications-in-remote-sensing-phairs/</link>
		<comments>http://edac.unm.edu/wordpress/2008/10/public-health-applications-in-remote-sensing-phairs/#comments</comments>
		<pubDate>Tue, 07 Oct 2008 21:43:29 +0000</pubDate>
		<dc:creator>Karl Benedict</dc:creator>
				<category><![CDATA[Active Projects]]></category>
		<category><![CDATA[Applications]]></category>
		<category><![CDATA[EDAC Programs]]></category>
		<category><![CDATA[Information Technology]]></category>
		<category><![CDATA[Information Technology Program]]></category>
		<category><![CDATA[PHAiRS]]></category>
		<category><![CDATA[Project Overviews]]></category>
		<category><![CDATA[Remote Sensing Program]]></category>
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		<description><![CDATA[<br/>In 2008, the five-year NASA-funded REASoN project known as PHAiRS entered its fifth and final year. This project is unique in that it has successfully modified a dust forecast model for conditions in the southwest United States and improved the model’s performance by using NASA Earth observation data as input parameters.  Furthermore it has engaged [...]]]></description>
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