Tree Crown Detection in RGB Airborne Imagery
The model was initially described in Remote Sensing on a single site. The prebuilt model uses a semi-supervised approach in which millions of moderate quality annotations are generated using a LiDAR unsupervised tree detection algorithm, followed by hand-annotations of RGB imagery from select sites. Comparisons among geographic sites were added to Ecological Informatics. The model was further improved, and the Python package was released in Methods in Ecology and Evolution.
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