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Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data.

, , , , , and . Remote. Sens., 13 (10): 1863 (2021)

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Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data., , , , , and . 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., , , , , , , , , and 2 other author(s). Remote. Sens., 12 (8): 1304 (2020)Characterizing a New England Saltmarsh with NASA G-LiHT Airborne Lidar., , , , , and . Remote Sensing, 11 (5): 509 (2019)Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative., , , , , , , , , and 1 other author(s). IEEE Geosci. Remote. Sens. Lett., 12 (7): 1511-1515 (2015)Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations., , , , , , , , , and 16 other author(s). IEEE Trans. Geosci. Remote. Sens., 44 (7-1): 1908-1925 (2006)Evaluating Prospects for Improved Forest Parameter Retrieval From Satellite LiDAR Using a Physically-Based Radiative Transfer Model., , , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (1): 45-53 (2013)Gaussian Decomposition of LiDAR Waveform Data Simulated by Dart., , , , , and . IGARSS, page 4300-4303. IEEE, (2018)Simulation of Solar-Induced Chlorophyll Fluorescence from 3D Canopies with the Dart Model., , , , , , , , , and 4 other author(s). IGARSS, page 4846-4849. IEEE, (2020)Recent Improvements in the Dart Model for Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence, Satellite Image Inversion., , , , , , , , , and 11 other author(s). IGARSS, page 3455-3458. IEEE, (2020)NASA Goddard's LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager., , , , , , , , , and . Remote. Sens., 5 (8): 4045-4066 (2013)