NEON Data Institute 2017: Spectral Classification Data Subset

This data set includes data used for a Spectral Classification Tutorial written by Dr. Paul Gader (Univ. Florida) for the 2017 NEON Data Institute: Remote Sensing with Reproducible Workflows.
This teaching data subset is used for several tutorials on the NEON website (neonscience.org). The dataset is for educational purposes, data for research purposes can be obtained from the NEON Data Portal (data.neonscience.org).

本数据集包含由佛罗里达大学（Univ. Florida）的保罗·加德（Paul Gader）博士为2017年NEON数据学院（NEON Data Institute）的“基于可复现工作流的遥感”主题课程编写的光谱分类教程（Spectral Classification Tutorial）所使用的数据。该教学数据集子集被NEON官网（neonscience.org）上的多个教程所采用。本数据集仅用于教育用途，科研用途的数据可从NEON数据门户（NEON Data Portal，data.neonscience.org）获取。