Haiyang Shi
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Machine learning-based investigation of forest evapotranspiration, net ecosystem productivity, water use efficiency and their climate controls at meteorological station level
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Recent impacts of water management on dryland's salinization and degradation neutralization
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Comparing the use of all data or specific subsets for training machine learning models in hydrology : a case study of evapotranspiration prediction
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- Journal Article
- A1
- open access
Revisiting and attributing the global controls over terrestrial ecosystem functions of climate and plant traits at FLUXNET sites via causal graphicalmodels
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- Journal Article
- A1
- open access
Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations
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- Journal Article
- A1
- open access
Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning : a meta-analysis
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- Journal Article
- A1
- open access
Variability and uncertainty in flux-site-scale net ecosystem exchange simulations based on machine learning and remote sensing : a systematic evaluation
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Water resources utilization and soil salinization in the Aral Sea Basin
(2022) -
A global meta-analysis of soil salinity prediction integrating satellite remote sensing, soil sampling, and machine learning
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- Journal Article
- A1
- open access
Analysis of the impacts of environmental factors on rat hole density in the northern slope of the Tienshan Mountains with satellite remote sensing data