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Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates.

, , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)

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Quantifying Surface Reflectivity for Spaceborne Lidar via Two Independent Methods., , , , and . IEEE Trans. Geosci. Remote. Sens., 47 (9): 3262-3271 (2009)Effects of clumping on modelling LiDAR waveforms in forest canopies., , , , , and . IGARSS, page 3391-3394. IEEE, (2012)Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling., , , , , , , , and . Remote. Sens., 10 (6): 933 (2018)Decoupling Canopy Structure and Leaf Biochemistry: Testing the Utility of Directional Area Scattering Factor (DASF)., , and . Remote Sensing, 10 (12): 1911 (2018)Quantifying Tropical Forest Stand Structure Through Terrestrial and UAV Laser Scanning Fusion., , , , , , , , , and 3 other author(s). IGARSS, page 8281-8284. IEEE, (2021)Rapid characterisation of forest structure from TLS and 3D modelling., , , , , and . IGARSS, page 3387-3390. IEEE, (2013)Quantifying Surface Reflectivity for Spaceborne Lidar Missions., , and . IGARSS (2), page 249-252. IEEE, (2008)Satellite Monitoring of Disturbances in Arctic Ecosystems., , , , and . IGARSS (3), page 585-588. IEEE, (2009)Remote Sensing in Ecology and Conservation: three years on, , , , , , , , , and 19 other author(s). Remote Sensing in Ecology and Conservation, 3 (2): 53-56 (2017)An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas., , , , , , , , and . Remote. Sens., 14 (3): 452 (2022)