This lidar dataset was collected as part of an NCALM Seed grant for Zachary Smith at the University of California, Berkeley. This dataset was collected to help understand volcanic and climate contr
Spatial data from van Zanten et al. (2016). Continental-scale quantification of landscape values using social media data. PNAS 113: 12974-12979 Through social media people often express values they a
This dataset contains the four calculated landscape wilderness indicators (naturalness, remoteness, ruggedness, human impact) in 100 m * 100 m spatial resolution and landscape scenicness predictions (
The semi-empirical single-tree model SILVA 2.2 has been developed and parameterised using forest research and inventory data from Germany that range from the colline to the montane zone. The focus of
NOAA National Centers for Environmental Information2010-01-01 更新40
