Data from: An efficient method to exploit LiDAR data in animal ecology

Simone Ciuti, Henriette Tripke, Peter Antkowiak, Ramiro Silveyra Gonzalez, Carsten F. Dormann & Marco Heurich
1. Light detection and ranging (LiDAR) technology provides ecologists with high-resolution data on three-dimensional vegetation structure. Large LiDAR datasets challenge predictive ecologists, who commonly simplify point clouds into structural attributes (namely LiDAR-based metrics such as canopy height), which are used as predictors in ecological models, potentially with loss of relevant information. 2. We illustrate an efficient alternative approach to reduce the dimensionality of LiDAR data that aims at minimal data filtering with no a priori...
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