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Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA.

, , , , , , , , , , , , , , and . Remote Sensing, 5 (1): 284-306 (2013)

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Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model., , , , , , , , , and 5 other author(s). Remote Sensing, 5 (1): 202-223 (2013)Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA., , , , , , , , , and 5 other author(s). Remote Sensing, 5 (1): 284-306 (2013)The Potential of Forest Biomass Inversion Based on Vegetation Indices Using Multi-Angle CHRIS/PROBA Data., , , , , and . Remote Sensing, 8 (11): 891 (2016)Machine Learning Techniques for Tree Species Classification Using Co-Registered LiDAR and Hyperspectral Data., and . Remote Sensing, 11 (7): 819 (2019)Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) Products and Their Potential Hydrological Application at an Arid and Semiarid Basin in China., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (9): 3915-3930 (2014)Forest Canopy Height and Gaps from Multiangular BRDF, Assessed with Airborne LiDAR Data (Short Title: Vegetation Structure from LiDAR and Multiangular Data)., and . Remote Sensing, 11 (21): 2566 (2019)The Potential of Forest Biomass Inversion Based on Canopy-Independent Structure Metrics Tested by Airborne LiDAR Data., , , and . IGARSS, page 7354-7357. IEEE, (2019)Modeling lidar waveforms in heterogeneous and discrete canopies., , and . IEEE Trans. Geoscience and Remote Sensing, 39 (9): 1943-1958 (2001)Fusion of LiDAR and radar for vegetation structure and biomass retrieval.. IGARSS, page 5346-5349. IEEE, (2016)