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Xinjie Liu

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

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220

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Scholarly Papers (3)

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1.

The cmSCOPE Model: A simple adaptation of the SCOPE model to describe the vertically stratified heterogeneity of maize growth and stress dynamics

Number of pages: 142 Posted: 02 Sep 2025
binxiang qian, Wenjiang Huang, Zhenong Jin, Kehui Ren, Peiqi Yang, Kun Wang, Jianbo Qi, Zhijun Zhen, Michael Henke, Jie Bai, Yin Jin, Yuhao Pan, Quanjun Jiao, Anting Guo and Xinjie Liu
affiliation not provided to SSRN, Chinese Academy of Sciences (CAS), Peking University, affiliation not provided to SSRN, Nanjing Normal University, affiliation not provided to SSRN, Beijing Normal University (BNU), Jilin University (JLU), Hunan Agricultural University, affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Hong Kong, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 120 (604,538)

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Coupled Maize Model, Horizontal Heterogeneity, Vertical Heterogeneity, Radiative Transfer Model, SCOPE Model, Vertical Profile of Physicochemical Parameters

2.

Prospect-Dp: A Coupled Leaf Optical Properties Model for Improving Leaf Spectra Simulation in the Red-Edge Domain

Number of pages: 39 Posted: 28 Jun 2024
Shanshan Du, Dianrun Zhao, LinLin Guan, Mengjia Qi, Xinjie Liu and Liangyun Liu
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Chinese Academy of Sciences (CAS)
Downloads 70 (875,328)

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Leaf spectra, red-edge domain, leaf optical properties model, PROSPECT-D model, data-driven model

3.

Harmonizing and Comparing Divergent Estimates of China's Forest Carbon Sinks

Number of pages: 34 Posted: 05 Dec 2024
Qizhi Han, Liangyun Liu and Xinjie Liu
affiliation not provided to SSRN, Chinese Academy of Sciences (CAS) and affiliation not provided to SSRN
Downloads 30 (1,332,057)

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Carbon sink, forest ecosystems, Remote Sensing, national greenhouse gas inventories