articleInternational Journal of Digital EarthMar 21, 2013BRONZE OA

Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error

University of Maryland, College Park

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Abstract

Abstract We developed a global, 30-m resolution dataset of percent tree cover by rescaling the 250-m MOderate-resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF) Tree Cover layer using circa- 2000 and 2005 Landsat images, incorporating the MODIS Cropland Layer to improve accuracy in agricultural areas. Resulting Landsat-based estimates maintained consistency with the MODIS VCF in both epochs (RMSE =8.6% in 2000 and 11.9% in 2005), but showed improved accuracy in agricultural areas and increased discrimination of small forest patches. Against lidar measurements, the Landsat-based estimates exhibited accuracy slightly less than that of the MODIS VCF (RMSE=16.8% for MODIS-based vs.…

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Authors

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Topics & keywords

Keywords
  • Moderate-resolution imaging spectroradiometer
  • Remote sensing
  • Lidar
  • Land cover
  • Vegetation (pathology)
  • Mean squared error
  • Environmental science
  • Calibration
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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