NEON Neuro-Symbolic Dataset

This is the dataset used in the experiments from the manuscript Harmon, I., Weinstein, B., Bohlman, S., White, E., & Wang, D. Z. (2024). A Neuro-Symbolic Framework for Tree Crown Delineation and Tree Species Classification. Remote Sensing, 16(23), 4365. https://doi.org/10.3390/rs16234365 This dataset is the RGB images combined with canopy height models (CHM) for the NEON sites NIWO and TEAK. The TEAK data is from the following publication: Geoffrey A Fricker, Jonathan Daniel Ventura, Jeffrey Wolf, Malcolm P. North, Frank W. Davis, & Janet Franklin. (2019). A Convolutional Neural Network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery [Data set]. In Remote Sensing. Zenodo. https://doi.org/10.5281/zenodo.3463589.本数据集为该论文稿件实验中所使用的数据集。 Harmon I, Weinstein B, Bohlman S, White E, Wang D Z. 2024. 面向树冠勾画与树种分类的神经符号框架[J]. 遥感, 16(23): 4365. https://doi.org/10.3390/rs16234365 本数据集包含结合冠层高度模型（canopy height models, CHM）的RGB图像，覆盖美国国家生态观测站网络（National Ecological Observatory Network, NEON）的NIWO与TEAK站点。其中TEAK数据集源自下述研究： Fricker G A, Ventura J D, Wolf J, North M P, Davis F W, Franklin J. 2019. 基于高光谱影像识别混交针叶林树种的卷积神经网络分类器[数据集]. 载于《遥感》，Zenodo平台. https://doi.org/10.5281/zenodo.3463589