Data from: Lidar-derived eigenfeatures improve species classification using deep-learning in Southwestern mixed conifer forests
收藏Mendeley Data2024-05-10 更新2024-06-27 收录
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https://zenodo.org/records/10042421
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资源简介：
Data and code used in Lidar-derived eigenfeatures improve species classification using deep-learning in Southwestern mixed conifer forests. Lidar data is provided for UAV-LS and ALS in lidar_data.zip. Las files are named by site and plot (e.g., 3-2). Field data, shapefiles, and code is provided in data.zip. R code is provided for tree segmentation, tree matching, image creation, and neural network cross validation.
创建时间：
2023-11-02
