Published October 26, 2023
| Version v1
Dataset
Open
Data from: Eigenfeature-Enhanced Deep Learning: Advancing Tree Species Classification in Mixed Conifer Forests with Lidar
Authors/Creators
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1.
Northern Arizona University
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2.
United States Fish and Wildlife Service
Description
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.