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Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data., , , , , и . Remote. Sens., 13 (10): 1863 (2021)Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation., , , , , , , , , и 2 other автор(ы). Remote. Sens., 12 (8): 1304 (2020)Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets., , , и . Int. J. Appl. Earth Obs. Geoinformation, (2013)Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield., , , , , , , , и . Remote Sensing, 5 (12): 6857-6879 (2013)Quantifying mangrove canopy regrowth and recovery after Hurricane Irma with large-scale repeat airborne lidar in the Florida Everglades., , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2022)Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data., , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (1): 6-14 (2013)Fusion: A fully ultraportable system for imaging objects in nature., , , , , и . IGARSS, стр. 1671-1674. IEEE, (2010)Characterization of Firefly, an Imaging Spectrometer Designed for Airborne Measurements of Solar-Induced Fluorescence., , , , , и . IGARSS, стр. 3943-3946. IEEE, (2018)NASA Goddard's LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager., , , , , , , , , и . Remote. Sens., 5 (8): 4045-4066 (2013)Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR., , , , , , и . Remote. Sens., 6 (3): 1762-1782 (2014)