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Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data.

, , , , , , , and . IGARSS, page 7301-7304. IEEE, (2022)

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Terrain Slope Effect on Forest Height and Wood Volume Estimation from GEDI Data., , , , , , , , and . Remote. Sens., 13 (11): 2136 (2021)Assessment of GEDI's LiDAR Data for the Estimation of Canopy Heights and Wood Volume of Eucalyptus Plantations in Brazil., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Simulating the Canopy Reflectance of Different Eucalypt Genotypes With the DART 3-D Model., , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (11): 4844-4852 (2017)Estimating Canopy Height and Wood Volume of Eucalyptus Plantations in Brazil Using GEDI LiDAR Data., , , , , , , and . IGARSS, page 5941-5944. IEEE, (2021)Calibration of a Species-Specific Spectral Vegetation Index for Leaf Area Index (LAI) Monitoring: Example with MODIS Reflectance Time-Series on Eucalyptus Plantations., , , , and . Remote Sensing, 4 (12): 3766-3780 (2012)Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data., , , , , , , and . IGARSS, page 7301-7304. IEEE, (2022)Very high resolution satellite images for parameterization of tree-scale forest process-based model., , , , , , , , , and 1 other author(s). IGARSS, page 6553-6556. IEEE, (2012)