Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Forest Inventories
E. Ayrey, D. J. Hayes, J. B. Kilbride, A. R. Weiskittel
This paper develops a deep learning model to integrate LiDAR and satellite data for regional forest inventory, achieving high accuracy in predicting tree size attributes.
bioRxiv · Apr 23, 2019 · PreprintEcology