PureForest: A Large-scale Aerial Lidar and Aerial Imagery Dataset for Tree Species Classification in Monospecific Forests

arXiv:2404.12064v1 Announce Type: cross
Abstract: Knowledge of tree species distribution is fundamental to managing forests. New deep learning approaches promise significant accuracy gains for forest mapping, and are becoming a critical tool for mapping multiple tree species at scale. To advance the field, deep learning researchers need large benchmark datasets with high-quality annotations. To this end, we present the PureForest dataset: a large-scale, open, multimodal dataset designed for tree species classification from both Aerial Lidar Scanning (ALS) point clouds and …

abstract accuracy advance aerial arxiv classification cs.cv cs.lg dataset deep learning distribution forests fundamental knowledge lidar mapping multiple scale species tool tree type