Dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices (VIs), with observations of photosynthetic function and CO2 dynamics for corn (Zea mays L.)

This dataset links measurements of leaf-level reflectance, active chlorophyll fluorescence, canopy reflectance and solar induced fluorescence (SIF) and a set of canopy vegetation indices (VIs such as PRI, NDVI, Clre, etc.) with eddy covariance measurements of gross ecosystem productivity (GEP). The dataset can be used to tests the hypothesis that canopy remote sensing observations can be used to detect the changes in reflectance and fluorescence at leaf level, and to develop approaches using SIF and VIs for monitoring vegetation photosynthetic function. The data were collected during the 2017 growing season on maize, using three automated systems (i.e., Moni-PAM, FloX and eddy covariance tower), filtered and collated to a common 30 minutes timestep. The raw data is provided to enable new processing and analysis. The dataset in this depository was used in three publications, where different researched hypothesis were tested. The dataset is described in details, and the measured and derived parameters are defined, in the accompanying "Data in brief' paper, where the published manuscripts are also listed.

本数据集将叶片尺度反射率、活性叶绿素荧光、冠层反射率与太阳诱导叶绿素荧光（solar induced fluorescence，SIF），以及一系列冠层植被指数（VIs，含PRI、NDVI、Clre等）的观测数据，与总生态系统生产力（gross ecosystem productivity，GEP）的涡度协方差（eddy covariance）测量结果进行关联。本数据集可用于验证以下科学假说：冠层遥感观测可用于检测叶片尺度反射率与荧光的变化，同时可用于开发基于SIF与VIs的植被光合功能监测方法。该数据集采集于2017年玉米生长季，采用三套自动化系统（即Moni-PAM、FloX与涡度协方差塔）完成数据获取，随后经过滤波预处理并统一对齐至30分钟时间步长。原始数据一并开放，以支持全新的处理与分析工作。本存储库中的数据集已被应用于三项已发表研究，用于验证不同的研究假说。配套的《Data in brief》论文中对本数据集进行了详细阐述，对所有实测与衍生参数进行了明确定义，并一并列出了已发表的相关研究文稿。