Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in Northeast China

Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images and environmental variables through applying the optimal k-nearest neighbor (kNN) imputation model....

Categories: Data; Tags: Biomass imputation, Changbai Mountains, Greater Khingan Mountains, Heilongjiang, Hulun Buir Plateau, All tags... Inner Mongolia, Jilin, Lesser Khingan Mountains, Liaohe Plain, Liaoning, MODIS, Northeast China, Sanjiang Plain, Songnen Plain, USGS Science Data Catalog (SDC), aboveground forest biomass, field inventory and monitoring, forest ecosystems, geoscientificInformation, imageryBaseMapsEarthCover, multispectral imaging, random forest model, Fewer tags