A global 0.05 dataset for gross primary production of sunlit and shaded vegetation canopies from 1992 to 2020

W Bi, W He, Y Zhou, W Ju, Y Liu, Y Liu, X Zhang, X Wei… - Scientific Data, 2022 - nature.com
Distinguishing gross primary production of sunlit and shaded leaves (GPPsun and
GPPshade) is crucial for improving our understanding of the underlying mechanisms …

Simulation of daily maize evapotranspiration at different growth stages using four machine learning models in semi-humid regions of northwest China

Z Wu, N Cui, D Gong, F Zhu, L Xing, B Zhu, X Chen… - Journal of …, 2023 - Elsevier
The accurate estimation of crop evapotranspiration (ET c) is essential for precision irrigation,
optimal allocation of regional water resources, and efficiency improvement of agricultural …

A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands

L Ding, Z Li, K Xu, M Huang, B Shen, L Hou… - Journal of …, 2024 - Elsevier
High-accuracy simulation of gross primary productivity (GPP) is crucial for the monitoring
and evaluation of the ecosystem services and the adaptive management of grassland. The …

Quantifying the natural climate solution potential of agricultural systems by combining eddy covariance and remote sensing

S Wiesner, AR Desai, AJ Duff… - Journal of …, 2022 - Wiley Online Library
Livestock agriculture accounts for∼ 15% of global anthropogenic greenhouse gas (GHG)
emissions. Recently, natural climate solutions (NCS) have been identified to mitigate farm …

Energy and evapotranspiration partitioning over a humid region orchard: Field measurements and partitioning model comparisons

S Jiang, C Liang, L Zhao, D Gong, Y Huang, L Xing… - Journal of …, 2022 - Elsevier
Understanding energy and water flux cycling and quantifying their components are essential
steps to elucidate the hydrological process and sustainable water resources management in …

On the use of machine learning methods to improve the estimation of gross primary productivity of maize field with drip irrigation

H Guo, X Zhou, Y Dong, Y Wang, S Li - Ecological Modelling, 2023 - Elsevier
As an important part of the energy-matter cycle, gross primary productivity (GPP) reflects the
ability of plants to absorb carbon dioxide from the atmosphere. The accurate estimation of …

Evaluation of ECOSTRESS evapotranspiration estimates over heterogeneous landscapes in the continental US

L Liang, Y Feng, J Wu, X He, S Liang, X Jiang… - Journal of …, 2022 - Elsevier
Remote sensing has become a data source long ago for estimating evapotranspiration (ET),
but often with a dilemma between temporal and spatial resolution. The recent ECOsystem …

Assessing evapotranspiration observed from ECOSTRESS using flux measurements in agroecosystems

J Wu, Y Feng, L Liang, X He, Z Zeng - Agricultural Water Management, 2022 - Elsevier
Crop water use (also know as evapotranspiraton, ET) monitoring is vital for agricultural
management under the threat of water scarcity and global warming, as well as the pressure …

A two-stage light-use efficiency model for improving gross primary production estimation in agroecosystems

L Huang, X Lin, S Jiang, M Liu, Y Jiang… - Environmental …, 2022 - iopscience.iop.org
Accurate quantification of gross primary production (GPP) in agroecosystems not only
improves our ability to understand the global carbon budget but also plays a critical role in …

Dense flux observations reveal the incapability of evapotranspiration products to capture the heterogeneity of evapotranspiration

J Wu, Y Feng, C Zheng, Z Zeng - Journal of Hydrology, 2023 - Elsevier
Accurate terrestrial evapotranspiration (ET) estimation over complex surfaces with spatial
heterogeneity is crucial for local, regional, and global applications. Currently, a variety of …