The paper “Assessing the effectiveness of deep embeddings for tree species classification in the Dutch Forest Inventory” has been published in Science of Remote Sensing. The paper was led by Takayuki Ishikawa in collaboration with Carmelo Bonannella, Bas J.W. Lerink, and Marc Rußwurm.
The study evaluates the utility of deep earth observation embeddings for tree species classification using data from the Dutch National Forest Inventory (NBI), providing insights into the transferability of foundation model representations for forestry applications.