Scaling photosynthetic function and CO₂ dynamics from leaf to canopy level for maize – dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices with canopy gross ecosystem productivity

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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.).7z (753.83 MB)
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https://www.sciencedirect.com/science/article/pii/S2352340921008751?via%3Dihub

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http://hdl.handle.net/11603/24373
 https://doi.org/10.1016/j.dib.2021.107600

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UMBC Joint Center for Earth Systems Technology (JCET)
UMBC Faculty Collection
UMBC Physics Department

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Author/Creator ORCID

https://orcid.org/0000-0002-0505-4951
 https://orcid.org/0000-0003-4148-9108

Date

2021-12

Type of Work

journal articles
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Citation of Original Publication

Campbell, Petya et al. Scaling photosynthetic function and CO2 dynamics from leaf to canopy level for maize – dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices with canopy gross ecosystem productivity. Data in Brief 39 (Dec. 2021) 107600. https://doi.org/10.1016/j.dib.2021.107600

Rights

This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0

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Abstract

Recent advances in leaf fluorescence measurements and canopy proximal remote sensing currently enable the non-destructive collection of rich diurnal and seasonal time series, which are required for monitoring vegetation function at the temporal and spatial scales relevant to the natural dynamics of photosynthesis. Remote sensing assessments of vegetation function have traditionally used actively excited foliar chlorophyll fluorescence measurements, canopy optical reflectance data and vegetation indices (VIs), and only recently passive solar induced chlorophyll fluorescence (SIF) measurements. In general, reflectance data are more sensitive to the seasonal variations in canopy chlorophyll content and foliar biomass, while fluorescence observations more closely relate to the dynamic changes in plant photosynthetic function. With this dataset we link leaf level actively excited chlorophyll fluorescence, canopy proximal reflectance and SIF, with eddy covariance measurements of gross ecosystem productivity (GEP). The dataset was collected during the 2017 growing season on maize, using three automated systems (i.e., Monitoring Pulse-Amplitude-Modulation fluorimeter, Moni-PAM; Fluorescence Box, FloX; and from eddy covariance tower). The data were quality checked, filtered and collated to a common 30 minutes timestep. We derived vegetation indices related to canopy functioning (e.g., Photochemical Reflectance Index, PRI; Normalized Difference Vegetation Index, NDVI; Chlorophyll Red-edge, Clre) to investigate how SIF and VIs can be coupled for monitoring vegetation photosynthesis. The raw datasets and the filtered and collated data are provided to enable new processing and analyses.