<?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.1344.2741.1"><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:organizationName>United States Department of Agriculture (USDA) National Institute of Food and Agriculture</eml:organizationName><eml:organizationName>United States Department of Agriculture (USDA), Forest Service State &amp; Private Forestry</eml:organizationName><eml:role>funder</eml:role></eml:associatedParty><eml:associatedParty><eml:organizationName>Vermont Forest Parks and Recreation </eml:organizationName><eml:role>partner</eml:role></eml:associatedParty><eml:researchProject><eml:title>Mapping forest species mixes across the Northeast from Landsat imagery</eml:title><eml:abstract><eml:para>This project utilized historical Landsat imagery, field-based data and novel remote sensing analytical techniques to map the percent basal area of select species across the northern forest region (northern New York, northern Vermont, northern New Hampshire, Maine) of the northeastern USA and generated improved forest type maps and forest/non-forest classifications. An update in 2020 extended this mapping to southern Vermont and surrounding portions of New York, New Hampshire and Massachusetts</eml:para></eml:abstract><eml:shortName>Mapping forest species mixes across the Northeast 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>Gudex-Cross</eml:surName><eml:givenName>David</eml:givenName></eml:contentProvider><eml:contentProvider><eml:surName>Adams</eml:surName><eml:givenName>Alison</eml:givenName></eml:contentProvider></eml:personnel><eml:keywordSet><eml:keyword>species composition</eml:keyword><eml:keyword>landsat</eml:keyword><eml:keyword>remote sensing</eml:keyword><eml:keyword>forest classification</eml:keyword></eml:keywordSet></eml:researchProject><eml:dataTable><eml:title>Northeast Forest Landcover Classifications</eml:title><eml:coverage scope="document"><eml:temporalCoverage scope="document"><eml:rangeOfDates><eml:beginDate><eml:calendarDate>1985-01-01</eml:calendarDate></eml:beginDate><eml:endDate><eml:calendarDate>2015-12-31</eml:calendarDate></eml:endDate></eml:rangeOfDates></eml:temporalCoverage></eml:coverage><eml:description>This dataset contains a raster of landcover classifications (forest, nonforest) and forest type classifications (based on modeled percent basal area) from 1985 to 2015 derived from Landsat imagery for the northern forest portions of Maine, New Hampshire, New York and Vermont.</eml:description><eml:purpose/><eml:shortName>20190410130432_FinalClassifications.zip</eml:shortName><eml:physical><eml:objectName>VMC.1344.2741</eml:objectName><eml:dataFormat><eml:formatName>mySQL</eml:formatName></eml:dataFormat><eml:citation>Gudex-Cross D., J. Pontius, A. Adams (2019) Northeast Forest Landcover Classifications. FEMC. Available online at: https://www.uvm.edu/femc/data/archive/project/northeast-forest-species-mapping-from-landsat/dataset/landcover-classifications</eml:citation><eml:distibution><eml:online><eml:url>https://www.uvm.edu/femc/CI4/data/archive/project/northeast-forest-species-mapping-from-landsat/dataset/landcover-classifications</eml:url></eml:online></eml:distibution></eml:physical><eml:attributeList><eml:attribute><eml:attributeName>Forest</eml:attributeName><eml:attributeLabel>Forest Cover</eml:attributeLabel><eml:storageType>text</eml:storageType><eml:measurementType><eml:nominal><eml:formatString>D-M-YY</eml:formatString><eml:numericDomain><eml:numberType>-1</eml:numberType></eml:numericDomain></eml:nominal></eml:measurementType></eml:attribute><eml:attribute><eml:attributeName>Nonforest</eml:attributeName><eml:attributeLabel>Nonforest Cover</eml:attributeLabel><eml:storageType>text</eml:storageType><eml:measurementType><eml:nominal><eml:formatString>D-M-YY</eml:formatString><eml:numericDomain><eml:numberType>-1</eml:numberType></eml:numericDomain></eml:nominal></eml:measurementType></eml:attribute><eml:attribute><eml:attributeName>Full_Landcover</eml:attributeName><eml:attributeLabel>Full Landcover</eml:attributeLabel><eml:storageType>text</eml:storageType><eml:measurementType><eml:nominal><eml:formatString>D-M-YY</eml:formatString><eml:numericDomain><eml:numberType>-1</eml:numberType></eml:numericDomain></eml:nominal></eml:measurementType></eml:attribute></eml:attributeList></eml:dataTable></eml:dataset></eml:eml>
