<?xml version="1.0"?>
<eml:eml xmlns:eml="eml://ecoinformatics.org/eml-2.1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" system="vmc" xsi:schemaLocation="eml://ecoinformatics.org/eml-2.1.1 eml.xsd" packageId="vmc.320.333.1"><eml:dataset><eml:publisher><eml:metadataProvider><eml:organizationName>Forest Ecosystem Monitoring Cooperative</eml:organizationName><eml:phone>(802) 656-0683</eml:phone><eml:electronicMailAddress>femc@uvm.edu</eml:electronicMailAddress><eml:onlineUrl>www.uvm.edu/femc</eml:onlineUrl><eml:address><eml:deliveryPoint>705 Spear Street</eml:deliveryPoint><eml:city>South Burlington</eml:city><eml:administrativeArea>Vermont</eml:administrativeArea><eml:postalCode>05403</eml:postalCode><eml:country>United States of America</eml:country></eml:address></eml:metadataProvider></eml:publisher><eml:associatedParty><eml:organizationName>Northeastern States Research Cooperative </eml:organizationName><eml:role>funder</eml:role></eml:associatedParty><eml:researchProject><eml:title>Northeastern Forest Health Trend Index Derived from Landsat Imagery</eml:title><eml:abstract><eml:para>Forest health in the northeast is of increasing concern due to climate change and anthropogenic pressures. In order to monitor canopy condition across the region, this study uses remote sensing images, which can be used to assess the crown condition of forests over long time periods and large areas. A forest health rating based on canopy &#x201C;greenness&#x201D;, photosynthetic capacity, canopy density and water content was applied to Landsat TM5 satellite imagery to quantify yearly forest health from 1984 to 2009, as well as changes and trends in health over that time period. </eml:para></eml:abstract><eml:shortName>Northeastern Forest Health Trend Index Derived from Landsat Imagery</eml:shortName><eml:personnel><eml:principalInvestigator><eml:surName>Pontius</eml:surName><eml:givenName>Jennifer</eml:givenName></eml:principalInvestigator><eml:contentProvider><eml:surName>Martin</eml:surName><eml:givenName>Mary</eml:givenName></eml:contentProvider></eml:personnel><eml:keywordSet><eml:keyword>climate change</eml:keyword><eml:keyword>canopy cover</eml:keyword><eml:keyword>forest disturbance</eml:keyword><eml:keyword>remote sensing</eml:keyword></eml:keywordSet></eml:researchProject><eml:dataTable><eml:title>Forest Condition Trend Data, 1984-2009</eml:title><eml:coverage scope="document"><eml:temporalCoverage scope="document"><eml:rangeOfDates><eml:beginDate><eml:calendarDate>1984-01-01</eml:calendarDate></eml:beginDate><eml:endDate><eml:calendarDate>2009-12-31</eml:calendarDate></eml:endDate></eml:rangeOfDates></eml:temporalCoverage></eml:coverage><eml:description>Spatial data (raster) of changes in forest canopy condition from 1984 to 2009, based on remote sensing data</eml:description><eml:purpose>This study uses remote sensing images, which can be used to assess the crown condition of forests over long time periods and large areas. A forest health rating based on canopy &#x201C;greenness&#x201D;, photosynthetic capacity, canopy density and water content was applied.</eml:purpose><eml:shortName>path13_14_healthtrend_exmask_gt15_lt5_final_noedge_mosaic.zip</eml:shortName><eml:physical><eml:objectName>VMC.320.333</eml:objectName><eml:dataFormat><eml:formatName>mySQL</eml:formatName></eml:dataFormat><eml:citation>Jennifer Pontius. 2009. Forest Condition Trend Data, 1984-2009. University of Vermont. </eml:citation><eml:distibution><eml:online><eml:url>https://www.uvm.edu/femc/CI4/data/archive/project/northeastern-forest-health-trend-index-derived/dataset/forest-condition-trend-data-1984-2009</eml:url></eml:online></eml:distibution></eml:physical><eml:attributeList/></eml:dataTable></eml:dataset></eml:eml>
