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A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations.

, , , , , , , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 58 (3): 2165-2177 (2020)

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Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California., , , and . Int. J. Digit. Earth, 11 (5): 485-503 (2018)Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications., , , , , , and . Remote. Sens., 13 (1): 77 (2021)The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data., , , , , , , , , and 2 other author(s). Remote. Sens., 11 (23): 2880 (2019)SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery., , , and . Remote. Sens., 7 (9): 11202-11225 (2015)Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery., , and . Int. J. Digit. Earth, 10 (3): 307-323 (2017)Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications., , , , and . Remote. Sens., 11 (24): 2927 (2019)A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)Segmenting Individual Trees From Terrestrial LiDAR Data Using Tree Branch Directivity., , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Retrieving the Leaf area Index of Individual Trees and Stands using Single-Scan Data From a Terrestrial Laser Scanner., , and . IGARSS, page 7536-7539. IEEE, (2018)