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、太阳诱导叶绿素荧光（SIF）以及一系列冠层植被指数（VIs，如PRI、NDVI、Clre等）的观测数据，与总生态系统生产力（GEP）的涡度协方差测量结果进行了关联。本数据集可用于验证“冠层遥感观测可用于捕捉叶片尺度反射率与荧光变化”这一假说，并可用于开发基于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，依托Moni-PAM、FloX与涡度协方差塔三套自动化观测系统获取，经滤波处理并统一整合至30分钟时间步长。数据集同时提供原始数据，以支持新的处理与分析方法研发。本数据存储库中的数据集已被应用于三篇已发表研究成果，用于验证不同的研究假说。配套的《数据简介（Data in Brief）》论文中对本数据集进行了详细阐述，并对所有实测与衍生参数进行了明确定义，同时列出了相关已发表研究手稿。