Improving artificial forest biomass estimates using afforestation age information from time series Landsat stacks.

@article{Liu2014ImprovingAF,
  title={Improving artificial forest biomass estimates using afforestation age information from time series Landsat stacks.},
  author={Liangyun Liu and Dailiang Peng and Zhihui Wang and Yong Hu},
  journal={Environmental monitoring and assessment},
  year={2014},
  volume={186 11},
  pages={7293-306}
}
China maintains the largest artificial forest area in the world. Studying the dynamic variation of forest biomass and carbon stock is important to the sustainable use of forest resources and understanding of the artificial forest carbon budget in China. In this study, we investigated the potential of Landsat time series stacks for aboveground biomass (AGB… CONTINUE READING