Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

J Xiao, F Chevallier, C Gomez, L Guanter… - Remote sensing of …, 2019 - Elsevier
Quantifying ecosystem carbon fluxes and stocks is essential for better understanding the
global carbon cycle and improving projections of the carbon-climate feedbacks. Remote …

Macrosystems ecology: understanding ecological patterns and processes at continental scales

JB Heffernan, PA Soranno… - Frontiers in Ecology …, 2014 - Wiley Online Library
Macrosystems ecology is the study of diverse ecological phenomena at the scale of regions
to continents and their interactions with phenomena at other scales. This emerging …

Mapping photosynthesis solely from solar-induced chlorophyll fluorescence: A global, fine-resolution dataset of gross primary production derived from OCO-2

X Li, J Xiao - Remote Sensing, 2019 - mdpi.com
Accurately quantifying gross primary production (GPP) globally is critical for assessing plant
productivity, carbon balance, and carbon-climate feedbacks, while current GPP estimates …

High‐resolution global contiguous SIF of OCO‐2

L Yu, J Wen, CY Chang… - Geophysical Research …, 2019 - Wiley Online Library
Abstract The Orbiting Carbon Observatory‐2 (OCO‐2) collects solar‐induced chlorophyll
fluorescence (SIF) at high spatial resolution along orbits (oco2_orbit), but its discontinuous …

Direct estimation of photosynthetic CO2 assimilation from solar-induced chlorophyll fluorescence (SIF)

Z Liu, F Zhao, X Liu, Q Yu, Y Wang, X Peng… - Remote Sensing of …, 2022 - Elsevier
Much progress has been made in predicting terrestrial gross primary productivity (GPP) from
solar-induced chlorophyll fluorescence (SIF). However, SIF-GPP relationships are mostly …

Satellite-derived LAI products exhibit large discrepancies and can lead to substantial uncertainty in simulated carbon and water fluxes

Y Liu, J Xiao, W Ju, G Zhu, X Wu, W Fan, D Li… - Remote Sensing of …, 2018 - Elsevier
Understanding the terrestrial carbon and water cycles is crucial for mitigation and adaptation
for climate change. Leaf area index (LAI) is a key biophysical parameter in process-based …

Global patterns, trends, and drivers of water use efficiency from 2000 to 2013

BL Xue, Q Guo, A Otto, J Xiao, S Tao, L Li - Ecosphere, 2015 - Wiley Online Library
Water use efficiency (WUE; gross primary production [GPP]/evapotranspiration [ET])
estimates the tradeoff between carbon gain and water loss during photosynthesis and is an …

Sources of uncertainty in gross primary productivity simulated by light use efficiency models: Model structure, parameters, input data, and spatial resolution

Y Zheng, L Zhang, J Xiao, W Yuan, M Yan, T Li… - Agricultural and forest …, 2018 - Elsevier
Accurate estimation of gross primary productivity (GPP) is essential for understanding
ecosystem function and global carbon cycling. However, there is still substantial uncertainty …

Assimilating remote sensing-based VPM GPP into the WOFOST model for improving regional winter wheat yield estimation

W Zhuo, J Huang, X Xiao, H Huang, R Bajgain… - European Journal of …, 2022 - Elsevier
Crop growth models are powerful tools for predicting crop growth and yield. Gross primary
production (GPP) is a major photosynthetic flux that is directly linked to crop grain yield. To …

Assessment of five satellite-derived LAI datasets for GPP estimations through ecosystem models

X Xie, A Li, H Jin, J Tan, C Wang, G Lei, Z Zhang… - Science of The Total …, 2019 - Elsevier
Ecosystem models have been widely used for obtaining gross primary productivity (GPP)
estimations at multiple scales. Leaf area index (LAI) is a critical variable in these models for …