National Forest Census
PulseAugur coverage of National Forest Census — every cluster mentioning National Forest Census across labs, papers, and developer communities, ranked by signal.
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Geospatial foundation models show promise in tree species mapping
Researchers have developed a new method for mapping tree species in Denmark by comparing traditional spectral-temporal features with embeddings from geospatial foundation models like TESSERA and AlphaEarth. The study fo…
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Foundation models show promise in mapping Danish tree species
Researchers have developed a method to map tree species across Denmark using satellite data and machine learning. The study compared manually engineered spectral-temporal features (STF) with embeddings from foundation m…
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Deep embeddings boost tree species classification accuracy in Dutch forest inventory
A new research paper explores the use of deep embeddings from pre-trained remote sensing models to improve tree species classification in the Netherlands' National Forest Inventory. The study found that these deep embed…
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Deep learning framework FLORA predicts forest attributes from varied LiDAR data
Researchers have developed FLORA, a deep learning framework designed to predict forest attributes from heterogeneous LiDAR data. This approach addresses challenges in national-scale forest monitoring where LiDAR data ca…