Evolution of evapotranspiration models using thermal and shortwave remote sensing data

JM Chen, J Liu - Remote Sensing of Environment, 2020 - Elsevier
Evapotranspiration (ET) from the land surface is an important component of the terrestrial
hydrological cycle. Since the advent of Earth observation by satellites, various models have …

Model parameterization to represent processes at unresolved scales and changing properties of evolving systems

Y Luo, EAG Schuur - Global Change Biology, 2020 - Wiley Online Library
Modeling has become an indispensable tool for scientific research. However, models
generate great uncertainty when they are used to predict or forecast ecosystem responses to …

The global distribution of leaf chlorophyll content

H Croft, JM Chen, R Wang, G Mo, S Luo, X Luo… - Remote Sensing of …, 2020 - Elsevier
Leaf chlorophyll is central to the exchange of carbon, water and energy between the
biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper …

Multi-scale evaluation of global evapotranspiration products derived from remote sensing images: Accuracy and uncertainty

W Zhu, S Tian, J Wei, S Jia, Z Song - Journal of Hydrology, 2022 - Elsevier
Advances in satellite remote sensing (RS) techniques have greatly prompted the
development of large-scale evapotranspiration (ET) models, yielding several freely available …

[HTML][HTML] Global datasets of leaf photosynthetic capacity for ecological and earth system research

JM Chen, R Wang, Y Liu, L He, H Croft… - Earth System …, 2022 - essd.copernicus.org
The maximum rate of Rubisco carboxylation (V cmax) determines leaf photosynthetic
capacity and is a key parameter for estimating the terrestrial carbon cycle, but its spatial …

Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content

X Luo, H Croft, JM Chen, L He… - Global change …, 2019 - Wiley Online Library
The terrestrial biosphere plays a critical role in mitigating climate change by absorbing
anthropogenic CO2 emissions through photosynthesis. The rate of photosynthesis is …

[HTML][HTML] Comparing methods for map** canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data

AM Ali, R Darvishzadeh, A Skidmore, TW Gara… - International Journal of …, 2020 - Elsevier
Highlights•The study provides a comprehensive comparison of methods for CCC retrieval
from Sentinel-2 imagery.•The results of the study demonstrate that both the physical-based …

A 21-year time series of global leaf chlorophyll content maps from MODIS imagery

M Xu, R Liu, JM Chen, Y Liu, A Wolanin… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
The leaf chlorophyll content (LCC) is an important plant physiological trait and is critical for
accurate modeling of vegetation photosynthesis over time and space. To date, there is still a …

Improving retrieval of leaf chlorophyll content from Sentinel-2 and Landsat-7/8 imagery by correcting for canopy structural effects

L Wan, Y Ryu, B Dechant, J Lee, Z Zhong… - Remote Sensing of …, 2024 - Elsevier
Accurately estimating leaf chlorophyll content (Chl) at large spatial scales is crucial for
monitoring agricultural production and plant photosynthesis. Sentinel-2 and Landsat-7/8 …