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

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...

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Autores principales:	Petya Campbell, Elizabeth Middleton, Karl Huemmrich, Lauren Ward, Tommaso Julitta, Peiqi Yang, Christiaan van der Tol, Craig Daughtry, Andrew Russ, Joseph Alfieri, William Kustas
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Vegetation Maize Leaf-level chlorophyll fluorescence Canopy solar induced fluorescence (SIF) Reflectance Photosynthetic function Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/21e45b5946e842e7ae7c1901f92b8b55
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spelling	oai:doaj.org-article:21e45b5946e842e7ae7c1901f92b8b552021-12-02T05:01:49ZScaling 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 productivity2352-340910.1016/j.dib.2021.107600https://doaj.org/article/21e45b5946e842e7ae7c1901f92b8b552021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921008751https://doaj.org/toc/2352-3409Recent 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.Petya CampbellElizabeth MiddletonKarl HuemmrichLauren WardTommaso JulittaPeiqi YangChristiaan van der TolCraig DaughtryAndrew RussJoseph AlfieriWilliam KustasElsevierarticleVegetationMaizeLeaf-level chlorophyll fluorescenceCanopy solar induced fluorescence (SIF)ReflectancePhotosynthetic functionComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107600- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vegetation Maize Leaf-level chlorophyll fluorescence Canopy solar induced fluorescence (SIF) Reflectance Photosynthetic function Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
spellingShingle	Vegetation Maize Leaf-level chlorophyll fluorescence Canopy solar induced fluorescence (SIF) Reflectance Photosynthetic function Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Petya Campbell Elizabeth Middleton Karl Huemmrich Lauren Ward Tommaso Julitta Peiqi Yang Christiaan van der Tol Craig Daughtry Andrew Russ Joseph Alfieri William Kustas 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
description	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.
format	article
author	Petya Campbell Elizabeth Middleton Karl Huemmrich Lauren Ward Tommaso Julitta Peiqi Yang Christiaan van der Tol Craig Daughtry Andrew Russ Joseph Alfieri William Kustas
author_facet	Petya Campbell Elizabeth Middleton Karl Huemmrich Lauren Ward Tommaso Julitta Peiqi Yang Christiaan van der Tol Craig Daughtry Andrew Russ Joseph Alfieri William Kustas
author_sort	Petya Campbell
title	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
title_short	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
title_full	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
title_fullStr	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
title_full_unstemmed	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
title_sort	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
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/21e45b5946e842e7ae7c1901f92b8b55
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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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