The project uses machine learning, along with features derived from dense time series of Landsat imagery as well as climatic and topographic data, to impute attributes from the FIA national forest inventory database to 30-meter pixels to produce raster maps of forest resources of the contiguous United States.
Date
Oct 2022
Organization
Source URL
Organization Type
Government