What is global photosynthesis? History, uncertainties and opportunities

Y Ryu, JA Berry, DD Baldocchi - Remote sensing of environment, 2019 - Elsevier
Quantifying global terrestrial photosynthesis is essential to understanding the global carbon
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …

Evaluation of the PROSAIL model capabilities for future hyperspectral model environments: A review study

K Berger, C Atzberger, M Danner, G D'Urso, W Mauser… - Remote Sensing, 2018 - mdpi.com
Upcoming satellite hyperspectral sensors require powerful and robust methodologies for
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …

Leaf chlorophyll content as a proxy for leaf photosynthetic capacity

H Croft, JM Chen, X Luo, P Bartlett, B Chen… - Global change …, 2017 - Wiley Online Library
Improving the accuracy of estimates of forest carbon exchange is a central priority for
understanding ecosystem response to increased atmospheric CO 2 levels and improving …

A global moderate resolution dataset of gross primary production of vegetation for 2000–2016

Y Zhang, X Xiao, X Wu, S Zhou, G Zhang, Y Qin… - Scientific data, 2017 - nature.com
Accurate estimation of the gross primary production (GPP) of terrestrial vegetation is vital for
understanding the global carbon cycle and predicting future climate change. Multiple GPP …

A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020

S He, Y Zhang, N Ma, J Tian, D Kong… - Earth System Science …, 2022 - essd.copernicus.org
Accurate high-resolution actual evapotranspiration (ET) and gross primary production (GPP)
information is essential for understanding the large-scale water and carbon dynamics …

Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models

Y Zhang, L Guanter, JA Berry, J Joiner… - Global change …, 2014 - Wiley Online Library
Photosynthesis simulations by terrestrial biosphere models are usually based on the
Farquhar's model, in which the maximum rate of carboxylation (Vcmax) is a key control …

Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

A Wolanin, G Camps-Valls, L Gómez-Chova… - Remote sensing of …, 2019 - Elsevier
Satellite remote sensing has been widely used in the last decades for agricultural
applications, both for assessing vegetation condition and for subsequent yield prediction …

Plant functional traits and canopy structure control the relationship between photosynthetic CO2 uptake and far‐red sun‐induced fluorescence in a Mediterranean …

M Migliavacca, O Perez‐Priego, M Rossini… - New …, 2017 - Wiley Online Library
Sun‐induced fluorescence (SIF) in the far‐red region provides a new noninvasive
measurement approach that has the potential to quantify dynamic changes in light‐use …

Chlorophyll fluorescence observed by OCO-2 is strongly related to gross primary productivity estimated from flux towers in temperate forests

X Li, J Xiao, B He - Remote Sensing of Environment, 2018 - Elsevier
Solar-induced chlorophyll fluorescence (SIF) opens a new perspective on the monitoring of
vegetation photosynthesis from space, and has been recently used to estimate gross …

Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy

S Wang, K Guan, Z Wang, EA Ainsworth… - Journal of …, 2021 - academic.oup.com
The photosynthetic capacity or the CO2-saturated photosynthetic rate (V max), chlorophyll,
and nitrogen are closely linked leaf traits that determine C4 crop photosynthesis and yield …