A deep learning system detects individual large trees globally in 3 m PlanetScope imagery by regressing Gaussian heatmaps trained on 14 billion lidar-derived pseudo-labels.
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar
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Trees as Gaussians: Large-Scale Individual Tree Mapping
A deep learning system detects individual large trees globally in 3 m PlanetScope imagery by regressing Gaussian heatmaps trained on 14 billion lidar-derived pseudo-labels.