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Qi, J., Jiang, J., Zhou, K., Xie, D., Huang, H., 2023. Fast and AccurateSimulation of Canopy Reflectance under Wavelength-Dependent Optical PropertiesUsing a Semi-Empirical 3D Radiative Transfer Model. Journal of Remote Sensing 3,0017.
[2]Gao, G., Qi,J.*, Lin, S., Hu, R., Huang, H., 2023. Estimating plant area density ofindividual trees from discrete airborne laser scanning data using intensityinformation and path length distribution. International Journal of Applied Earth Observation and Geoinformation 118, 103281.
[3]葉雨洋, 漆建波*, 曹穎, 蔣靖怡, 2023. 基于LESS模型的異質(zhì)植被冠層光合有效輻射吸收比與植被指數(shù)的關(guān)系研究. 遙感技術(shù)與應(yīng)用 38, 51–65.
[4]Qi,J.*,Xie,D., Jiang, J., Huang, H., 2022. 3D radiative transfer modeling of structurallycomplex forest canopies through a lightweight boundary-based description ofleaf clusters. Remote Sensing of Environment 283, 113301.
[5]Jin, D., Qi, J.*, Huang, H., Li, L., 2021. Combining3D Radiative Transfer Model and Convolutional Neural Network to AccuratelyEstimate Forest Canopy Cover From Very High-Resolution Satellite Images. IEEEJournal of Selected Topics in Applied Earth Observations and Remote Sensing 14,10953–10963.
[6]Qi, J., Xie, D., Yin, T., Yan, G., Gastellu-Etchegorry, J.-P.,Li, L.,Zhang, W., Mu, X., Norford, L.K., 2019. LESS: LargE-Scale remote sensing dataand image simulation framework over heterogeneous 3D scenes. Remote Sensingof Environment. 221, 695–706.
[7]Qi,J.*, Yin,T., Xie, D., Gastellu-Etchegorry, J.-P.,2019. Hybrid Scene Structuring forAccelerating 3D Radiative Transfer Simulations. Remote Sensing 11,2637
[8]Su,A., Qi, J*., Huang, H., 2020. Indirect Measurement of Forest CanopyTemperature by Handheld Thermal Infrared Imager through Upward Observation. Remote Sensing 12, 3559.
[9]Qi, J., Xie, D., Guo, D. and Yan, G., 2017. A Large-Scale Emulation System for Realistic Three-Dimensional (3-D) ForestSimulation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,10(11), pp.4834-4843.
[10]Zhang,W.; Qi,J.*; Wan, P.; Wang, H.; Xie, D.; Wang, X.; Yan,G. An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation. Remote Sensing. 2016, 8, 501. [ESI highly cited]
[11]Qi, J., Xie, D., Li, L., Zhang, W., Mu, X., Yan,G.,2019. Estimating Leaf Angle Distribution From Smartphone Photographs. IEEEGeoscience and Remote Sensing Letters 1–5.
