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Multi-level filtering segmentation to measure individual tree parameters based on Lidar data: Application to a mountainous forest with heterogeneous stands.

, and . Int. J. Applied Earth Observation and Geoinformation, 13 (4): 646-656 (2011)

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A sequential iterative dual-filter for Lidar terrain modeling optimized for complex forested environments., , , and . Computers & Geosciences, (2012)Multi-level filtering segmentation to measure individual tree parameters based on Lidar data: Application to a mountainous forest with heterogeneous stands., and . Int. J. Applied Earth Observation and Geoinformation, 13 (4): 646-656 (2011)Increasing Precision for French Forest Inventory Estimates using the k-NN Technique with Optical and Photogrammetric Data and Model-Assisted Estimators., , , , and . Remote Sensing, 11 (8): 991 (2019)Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar., , , , , , , , , and . Remote Sensing, 7 (8): 10607-10625 (2015)Surface reconstruction of incomplete datasets: A novel Poisson surface approach based on CSRBF., , and . Computers & Graphics, (2018)Terrain Model Reconstruction from Terrestrial LiDAR Data Using Radial Basis Functions., , and . IEEE Computer Graphics and Applications, 37 (5): 72-84 (2017)Stem Volume and Above-Ground Biomass Estimation of Individual Pine Trees From LiDAR Data: Contribution of Full-Waveform Signals., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (2-3): 924-934 (2013)PTrees: A point-based approach to forest tree extraction from lidar data., , , , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2014)Exploiting fullwaveform lidar signals to estimate timber volume and above-ground biomass of individual trees., , , and . IGARSS, page 1251-1254. IEEE, (2011)