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Tree Species Classification Using Ground-Based LiDAR Data by Various Point Cloud Deep Learning Methods.

, , , , , , and . Remote. Sens., 14 (22): 5733 (2022)

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Simulating 3D urban surface temperature distribution using ENVI-MET model: Case study on a forest park., , and . IGARSS, page 1642-1645. IEEE, (2015)Erratum: Du, K., et al. Simulation of Ku-Band Profile Radar Waveform by Extending Radiosity Applicable to Porous Individual Objects (RAPID2) Model. Remote Sensing 2020, 12, 684., , , , , , and . Remote. Sens., 12 (17): 2830 (2020)Correlation and Intrinsic Mechanisms of Optical and Microwave Remote Sensing Signals in Typical Forest Areas in China., and . IGARSS, page 3149-3152. IEEE, (2023)Experiment on extracting forest canopy height from Worldview-2., and . FSKD, page 2614-2617. IEEE, (2011)An On-Demand Approach to Build Reusable, Fast-Responding Spatial Data Services., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (6): 1665-1677 (2012)A spectral directional reflectance model of row crops, , , , , , , , , and . Remote Sensing of Environment, (2009)RAPID2: A 3D Simulator supporting virtual remote sensing experiments.. IGARSS, page 3636-3639. IEEE, (2016)Tree Species Classification Using Ground-Based LiDAR Data by Various Point Cloud Deep Learning Methods., , , , , , and . Remote. Sens., 14 (22): 5733 (2022)Ultrahigh-resolution boreal forest canopy mapping: Combining UAV imagery and photogrammetric point clouds in a deep-learning-based approach., , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Sensitivity Testing Analysis of Airborne Hyperspectral Lidar Signals for Monitoring Insects and Diseases Based on 3d Radiative Transfer Model., , and . IGARSS, page 4613-4616. IEEE, (2023)