43 citations · 45 across the 2 of their papers we have counts for
2 papers
eess.SP2023★ 2 cited
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images
Shaojia Ge, Oleg Antropov, Tuomas Häme +2
Deep learning (DL) models are gaining popularity in forest variable prediction using Earth Observation images. However, in practical forest inventories, reference datasets are ofte…
stat.AP2009★ 43 cited
Hierarchical spatial models for predicting tree species assemblages across large domains
Andrew O. Finley, Sudipto Banerjee, Ronald E. McRoberts
Spatially explicit data layers of tree species assemblages, referred to as forest types or forest type groups, are a key component in large-scale assessments of forest sustainabili…