Tromso / Southampton / Washington / DC / Cambridge / Vienna / Kyoto / /
Company
Blackwell Science Ltd. / Amazon / IGBP Terrestrial Carbon Working Group / Earth Observations Systems / /
Continent
South America / /
Country
Congo / Norway / Belgium / France / United States / Brazil / Democratic Republic of Congo / Australia / United Kingdom / Argentina / /
Currency
cent / / /
Event
Environmental Issue / /
Facility
Global Land Cover Facility / College Park / ³World Resources Institute / World Conservation Monitoring Centre / University of Maryland / University of Maryland Institute / /
IndustryTerm
efforts using satellite data / prototype product / land cover types using satellite data / satellite imagery / land cover products / percentage tree cover product / classi®cation product / greenhouse gas emission / greenhouse gas emissions / Satellite data / km tree cover product / decision tree algorithm / land-cover classi®cation using satellite data / prototype percentage tree cover product / larger areas using satellite data / coarse resolution satellite imagery / /
MarketIndex
Normalized Difference Vegetation / /
Organization
Department of Geography / University of Maryland / Maryland Institute / Remote Sensing Society / University of Maryland / College Park / ³World Resources Institute / Committee on Earth Observations Systems / United Nations / NOAA's Advanced Very High Resolution Radiometer / National Aeronautics and Space Administration / Food and Agriculture Organization of the United Nations / World Conservation Monitoring Centre / Food and Agriculture Organization / EROS Data Center / /
Global Change Biology[removed], 247±254 Technical advance A new global 1-km dataset of percentage tree cover derived from remote sensing