<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20191115</CreaDate>
<CreaTime>14482200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>INSPIRE Metadata Directive</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Land cover information is necessary for a large range of environmental applications related to climate impacts and adaption, emergency response, wildlife habitat, etc. In Canada, a 2008 user survey indicated that the most practical land cover data is provided in a nationwide 30 m spatial resolution format, with an update frequency of five years. In response to this need, the Canada Centre for Remote Sensing (CCRS) has generated a 30 m land cover map of Canada for the base year 2010, as the first of a planned series of maps to be updated every five years, or more frequently. This land cover dataset is also the Canadian contribution to the 30 m spatial resolution 2010 Land Cover Map of North America, which is produced by Mexican, American and Canadian government institutions under a collaboration called the North American Land Change Monitoring System (NALCMS). This land cover dataset for Canada is produced using observation from Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) Landsat sensors. An accuracy assessment based on 2811 randomly distributed samples shows that land cover data produced with this new approach has achieved 76.60% accuracy with no marked spatial disparities.</idAbs>
<searchKeys>
<keyword>Mid-latidude</keyword>
<keyword>Western Hemisphere</keyword>
<keyword>Northern Hemisphere</keyword>
<keyword>North America</keyword>
<keyword>Canada</keyword>
<keyword>Land Cover</keyword>
<keyword>Remote Sensing</keyword>
<keyword>Landsat</keyword>
<keyword>Reflectance</keyword>
</searchKeys>
<idPurp>This land cover dataset is the Canadian contribution to the 30 m spatial resolution 2010 Land Cover Map of North America.</idPurp>
<idCredit>Government of Canada; Natural Resources Canada; Canada Centre for Remote Sensing</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2010 Land Cover of Canada</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
