DBH

> HOMEPAGE MISSING! | > CORRECT NAME OF TOOL COULD ALSO BE 'hyperspectral', 'vegetation', 'planation', 'Cunninghamia' | UAV-Based High-Throughput Approach for Fast Growing <em>Cunninghamia lanceolata (Lamb.)</em> Cultivar Screening by Machine Learning | Accurate measurements of tree height and diameter at breast height (DBH) in forests to evaluate the growth rate of cultivars is still a significant challenge, even when using LiDAR and 3-D modeling. We propose an integrated pipeline methodology to measure the biomass of different tree cultivars in plantation forests with high crown density which that combines unmanned aerial vehicles (UAVs), hyperspectral image sensors, and data processing algorithms using machine learning. Using a planation of Cunninghamia lanceolate, commonly known as Chinese fir, in Fujian, China, images were collected using a hyperspectral camera and orthorectified in HiSpectral Stitcher