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Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest.

, , , , , , , , and . Remote. Sens., 9 (10): 1068 (2017)

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Improving Carbon Estimation of Large Tropical Trees by Linking Airborne Lidar Crown Size to Field Inventory., , , and . IGARSS, page 8789-8792. IEEE, (2018)In Situ Reference Datasets From the TropiSAR and AfriSAR Campaigns in Support of Upcoming Spaceborne Biomass Missions., , , , , , , , , and 16 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (10): 3617-3627 (2018)A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests., , , , , , , , and . Remote Sensing, 11 (9): 1086 (2019)Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest., , , , , , , , and . Remote. Sens., 9 (10): 1068 (2017)Fusion of NASA Airborne Snow Observatory (ASO) Lidar Time Series over Mountain Forest Landscapes., , , and . Remote. Sens., 10 (2): 164 (2018)Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabon., , , , , , , , , and 3 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (10): 3512-3526 (2018)Investigating the Impact of Point Cloud Density on Semantic Segmentation Performance Using Virtual Lidar in Boreal Forest., , , , and . IGARSS, page 978-981. IEEE, (2023)3D segmentation of forest structure using a mean-shift based algorithm., , , , and . ICIP, page 1413-1416. IEEE, (2010)Fusion of Multiple Low-Resolution NASA Airborne Snow Observatory (ASO) Lidar Data for Forest Vegetation Structure Caracterization., , , and . IGARSS, page 7532-7535. IEEE, (2018)Registration of multiple low resolution nasa airborne snow observatory (ASO) lidar data for forest vegetation structure caracterization., , , and . IGARSS, page 2764-2767. IEEE, (2017)