Ghent University Academic Bibliography

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Potential of globally distributed topsoil mid-infrared spectral library for organic carbon estimation

Yongsheng Hong, Jonathan Sanderman, Tomislav Hengl, Songchao Chen, Nan Wang, Jie Xue, Zhiqing Zhuo, Jie Peng, Shuo Li, Yiyun Chen, et al.

(2024) CATENA. 235.
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- Journal Article
- A1
- open access
Improving spectral estimation of soil inorganic carbon in urban and suburban areas by coupling continuous wavelet transform with geographical stratification

Yongsheng Hong, Yiyun Chen, Songchao Chen, Ruili Shen, Long Guo, Yaolin Liu, Abdul Mouazen (UGent) and Zhou Shi

(2023) GEODERMA. 430.
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- Journal Article
- A1
- open access
Spectral fusion modeling for soil organic carbon by a parallel input-convolutional neural network

Yongsheng Hong, Songchao Chen, Bifeng Hu, Nan Wang, Jie Xue, Zhiqing Zhuo, Yuanyuan Yang, Yiyun Chen, Jie Peng, Yaolin Liu, et al.

(2023) GEODERMA. 437.
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Fusion of visible-to-near-infrared and mid-infrared spectroscopy to estimate soil organic carbon

Yongsheng Hong, Muhammad Abdul Munnaf (UGent) , Angela Patricia Guerrero Castillo, Songchao Chen, Yaolin Liu, Zhou Shi and Abdul Mouazen (UGent)

(2022) SOIL & TILLAGE RESEARCH. 217.
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- Journal Article
- A1
- open access
Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy

Yongsheng Hong, Yiyun Chen, Ruili Shen, Songchao Chen, Gang Xu, Hang Cheng, Long Guo, Zushuai Wei, Jian Yang, Yaolin Liu, et al.

(2021) ENVIRONMENTAL POLLUTION. 291.
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- Journal Article
- A1
- open access
Estimation of organic carbon in anthropogenic soil by VIS-NIR spectroscopy : effect of variable selection

Lu Xu, Yongsheng Hong, Yu Wei, Long Guo, Tiezhu Shi, Yi Liu, Qinghu Jiang, Teng Fei, Yaolin Liu, Abdul Mouazen (UGent) , et al.

(2020) REMOTE SENSING. 12(20).
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Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon : effects of fractional-order derivative and optimal band combination algorithm

Yongsheng Hong, Long Guo, Songchao Chen, Marc Linderman, Abdul Mouazen (UGent) , Lei Yu, Yiyun Chen, Yaolin Liu, Yanfang Liu, Hang Cheng, et al.

(2020) GEODERMA. 365.
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Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon : feature selection coupled with random forest

Yongsheng Hong, Songchao Chen, Yiyun Chen, Marc Linderman, Abdul Mouazen (UGent) , Yaolin Liu, Long Guo, Lei Yu, Yanfang Liu, Hang Cheng, et al.

(2020) SOIL & TILLAGE RESEARCH. 199.
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Regional geographies of intercity corporate networks: the use of exponential random graph models to assess regional network-formation

Xingjian Liu, Ben Derudder (UGent) and Yaolin Liu

(2015) PAPERS IN REGIONAL SCIENCE. 94(1). p.109-127
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- Journal Article
- A1
- open access
A stochastic actor-based modelling of the evolution of an intercity corporate network

Xingjian Liu, Ben Derudder (UGent) , Yaolin Liu, Frank Witlox (UGent) and Wei Shen

(2013) ENVIRONMENT AND PLANNING A. 45(4). p.947-966

Academic Bibliography

Potential of globally distributed topsoil mid-infrared spectral library for organic carbon estimation

Improving spectral estimation of soil inorganic carbon in urban and suburban areas by coupling continuous wavelet transform with geographical stratification

Spectral fusion modeling for soil organic carbon by a parallel input-convolutional neural network

Fusion of visible-to-near-infrared and mid-infrared spectroscopy to estimate soil organic carbon

Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy

Estimation of organic carbon in anthropogenic soil by VIS-NIR spectroscopy : effect of variable selection

Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon : effects of fractional-order derivative and optimal band combination algorithm

Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon : feature selection coupled with random forest

Regional geographies of intercity corporate networks: the use of exponential random graph models to assess regional network-formation

A stochastic actor-based modelling of the evolution of an intercity corporate network

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