- Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
- An unexpectedly large count of trees in the West African Sahara and Sahel
- Improving the Precision of Tree Counting by Combining Tree Detection with Crown Delineation and Classification on Homogeneity Guided Smoothed High Resolution (50 cm) Multispectral Airborne Digital Data
- DeepForest: A Python package for RGB deep learning tree crown delineation
- Point cloud modeling as a bridge between landscape design and planning
- Mapping northern wetlands with high resolution satellite images and LiDAR
- Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data
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