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Qun Luo

Xinjiang Normal University

SCHOLARLY PAPERS

3

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79

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Inversion of Leaf Area Index in the desert shrub scene by constructing a Micro-Voxel Analysis Projection Model (MVAPM)

Number of pages: 21 Posted: 05 Jan 2026
Hang Zhou, Xu Ma, Brian Alan Johnson, Chenghui ZHU, Qun Luo, Tianyu Jiao, Xiaolin Wang and Fei Zhang
affiliation not provided to SSRN, Xinjiang University, Institute for Global Environmental Strategies, Gannan Normal University, Xinjiang Normal University, affiliation not provided to SSRN, affiliation not provided to SSRN and Xinjiang University
Downloads 37 (1,222,651)

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Leaf Area Index, Desert shrubs, Micro-Voxel Analysis Projection Model (MVAPM), Point cloud data, Beer's law, Projection function G(θ)

2.

Study on the inversion of wood area index in desert shrub point cloud scenes - Taking Haloxylon and Tamarix as examples

Number of pages: 43 Posted: 04 Nov 2025
Hang Zhou, Qun Luo, Zuoyi Li, Chenghui ZHU, Tianyu Jiao, Xiaolin Wang, Xu Ma and Fei Zhang
affiliation not provided to SSRN, Xinjiang Normal University, affiliation not provided to SSRN, Gannan Normal University, affiliation not provided to SSRN, affiliation not provided to SSRN, Xinjiang University and Xinjiang University
Downloads 32 (1,290,922)

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Desert shrubs, Woody tissue, Beer's law, Binomial extinction probability equation, LESS radiative transfer model, Inversion method

3.

Improving GPP estimation of C4 vegetation in global drylands by optimizing temperature and water stress representation in light use efficiency models

Number of pages: 36 Posted: 04 May 2026
Jie Song, Xu Ma, Gai Huang, Xin He, Ngai Weng Chan, YuKun Dong, Changjiang Liu, Qun Luo, Xiao Lin Wang and Fei Zhang
Xinjiang University, Xinjiang University, Xinjiang University, Xinjiang University, Universiti Sains Malaysia (USM), Xinjiang University, Xinjiang University, Xinjiang Normal University, Xinjiang University and Xinjiang University
Downloads 10 (1,541,665)

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Global drylands, C4 GPP, LUE model, Spatiotemporal variability, Environmental factors