[1]Zhao, X., Qi, J.*, Xu, H., Yu, Z., Yuan, L., Chen, Y., Huang, H.*, 2023.Evaluating the potential of airborne hyperspectral LiDAR for assessing forestinsects and diseases with 3D Radiative Transfer Modeling. Remote Sensing of Environment 297, 113759.
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]叶雨洋, 漆建波*, 曹颖, 蒋靖怡, 2023. 基于LESS模型的异质植被冠层光合有效辐射吸收比与植被指数的关系研究. j9游会真人游戏第一品牌技术与应用 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.