Annual carbon density and annual forest probability maps

  • Xiaowei Tong (Ophavsmand)
  • Martin Stefan Brandt (Ophavsmand)
  • Yuemin Yue (Ophavsmand)
  • Philippe Ciais (Ophavsmand)
  • Martin Rudbeck Jepsen (Ophavsmand)
  • Josep Penuelas (Ophavsmand)
  • Jean-Pierre Wigneron (Ophavsmand)
  • Xiangming Xiao (Ophavsmand)
  • Xiao-Peng Song (Ophavsmand)
  • Stéphanie Horion (Ophavsmand)
  • Kjeld Rasmussen (Ophavsmand)
  • Sassan Saatchi (Ophavsmand)
  • Lei Fan (Ophavsmand)
  • Kelin Wang (Ophavsmand)
  • Bing Zhang (Ophavsmand)
  • Zhengchao Chen (Ophavsmand)
  • Yuhang Wang (Ophavsmand)
  • Xiaojun Li (Ophavsmand)
  • Rasmus Fensholt (Ophavsmand)

Data set

Beskrivelse

The annual carbon density (file name is GBRF+year) shows aboveground woody biomass and uses boosted regression trees, which were trained with a static global benchmark map of carbon density of woody vegetation for 2018, using MODIS (MCD43A4 7 bands; NDII, EV12, MCD43A3 shortwave albedo) and STRM data. The carbon density was mapped at 1-ha spatial grid cells and the unit is MgC/ha. The forest probability maps (file name is LT_nbr_paramset01_fitted.+year) were created from annual MODIS data at the resolution of 500m x 500m. The forest maps take values ranging from 0 to1, and the probability shows the likeliness if a pixel belongs to the forest (1) or non-forest (0) class. The higher the value, the higher the probability that the pixel is forest land.
Dato for tilgængelighed2022
ForlagZenodo

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