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.
Steps to reproduce
The data collection and processing of the dataset in this depository are described in the accompanying 'Data in brief paper'.