Published January 1, 2020
| Version 0.1
Dataset
Open
Training Data for the NeonTreeEvaluation Benchmark
Description
This dataset is the large training data files for the NeonTreeEvaluation Benchmark for individual tree detection from airborne imagery. For each geographic site, given by the NEON four letter code (e.g HARV -> Harvard Forest), there are three files: a RGB image, a LiDAR tile, and a 426 band hyperpspectral file. For more information on the benchmark, and the corresponding R package, see https://github.com/weecology/NeonTreeEvaluation_package
Files
2018_BART_4_322000_4882000_image.tif
Files
(18.7 GB)
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