Ghent University Academic Bibliography

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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

Haiyang Shi, Yu Zhang (UGent) , Geping Luo, Olaf Hellwich, Wenqiang Zhang (UGent) , Mingjuan Xie (UGent) , Ruixiang Gao, Alishir Kurban, Philippe De Maeyer (UGent) and Tim Van de Voorde (UGent)

(2024) JOURNAL OF HYDROLOGY. 641.
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The increasing rate of net carbon uptake in Eurasia has been declining since the early 2000s

Mingjuan Xie (UGent) , Geping Luo, Amaury Frankl (UGent) , Kwinten Van Weverberg (UGent) , Yuanyuan Huang, Xiaofei Ma, Yuangang Wang, Chaofan Li, Xiuliang Yuan, Olaf Hellwich, et al.

(2024) SCIENCE OF THE TOTAL ENVIRONMENT. 955.
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Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations

Haiyang Shi, Geping Luo, Olaf Hellwich, Xiufeng He, Alishir Kurban, Philippe De Maeyer (UGent) and Tim Van de Voorde (UGent)

(2023) HYDROLOGY AND EARTH SYSTEM SCIENCES. 27(24). p.4551-4562
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Can gross Primary Productivity Products be effectively evaluated in regions with few observation data?

Wenqiang Zhang (UGent) , Geping Luo, Rafiq Hamdi (UGent) , Xiumei Ma (UGent) , Yuzhen Li, Xiuliang Yuan, Chaofan Li, Qing Ling, Olaf Hellwich, Piet Termonia (UGent) , et al.

(2023) GISCIENCE & REMOTE SENSING. 60(1).
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New data‐driven method for estimation of net ecosystem carbon exchange at meteorological stations effectively increases the global carbon flux data

Wenqiang Zhang (UGent) , Geping Luo, Xiuliang Yuan, Chaofan Li, Mingjuan Xie (UGent) , Yuangang Wang, Xiaofei Ma, Haiyang Shi, Rafiq Hamdi (UGent) , Olaf Hellwich, et al.

(2023) METHODS IN ECOLOGY AND EVOLUTION. 14(9). p.2449-2463
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A global meta-analysis of soil salinity prediction integrating satellite remote sensing, soil sampling, and machine learning

Haiyang Shi, Olaf Hellwich, Geping Luo, Chunbo Chen, Huili He, Friday Uchenna Ochege, Tim Van de Voorde (UGent) , Alishir Kurban and Philippe De Maeyer (UGent)

(2022) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 60.
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Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning : a meta-analysis

Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie (UGent) , Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang (UGent) , et al.

(2022) HYDROLOGY AND EARTH SYSTEM SCIENCES. 26(18). p.4603-4618
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Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China

Mingjuan Xie, Geping Luo, Olaf Hellwich, Amaury Frankl (UGent) , Wenqiang Zhang (UGent) , Chunbo Chen, Chen Zhang and Philippe De Maeyer (UGent)

(2021) HYDROLOGICAL PROCESSES. 35(12).
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Analysis of the impacts of environmental factors on rat hole density in the northern slope of the Tienshan Mountains with satellite remote sensing data

Haiyang Shi, Qun Pan, Geping Luo, Olaf Hellwich, Chunbo Chen, Tim Van de Voorde (UGent) , Alishir Kurban, Philippe De Maeyer (UGent) and Shixin Wu

(2021) REMOTE SENSING. 13(22).
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A novel causal structure-based framework for comparing a basin-wide water-energy-food-ecology nexus applied to the data-limited Amu Darya and Syr Darya river basins

Haiyang Shi, Geping Luo, Hongwei Zheng, Chunbo Chen, Olaf Hellwich, Jie Bai, Tie Liu, Shuang Liu, Jie Xue, Peng Cai, et al.

(2021) HYDROLOGY AND EARTH SYSTEM SCIENCES. 25(2). p.901-925

Academic Bibliography

Machine learning-based investigation of forest evapotranspiration, net ecosystem productivity, water use efficiency and their climate controls at meteorological station level

The increasing rate of net carbon uptake in Eurasia has been declining since the early 2000s

Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations

Can gross Primary Productivity Products be effectively evaluated in regions with few observation data?

New data‐driven method for estimation of net ecosystem carbon exchange at meteorological stations effectively increases the global carbon flux data

A global meta-analysis of soil salinity prediction integrating satellite remote sensing, soil sampling, and machine learning

Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning : a meta-analysis

Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China

Analysis of the impacts of environmental factors on rat hole density in the northern slope of the Tienshan Mountains with satellite remote sensing data

A novel causal structure-based framework for comparing a basin-wide water-energy-food-ecology nexus applied to the data-limited Amu Darya and Syr Darya river basins

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