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Airborne LiDAR and Terrestrial Laser Scanning Derived Vegetation Obstruction Factors for Visibility Models., , , and . Trans. GIS, 18 (1): 147-160 (2014)Resolving the Influence of Forest-Canopy Structure on Snow Depth Distributions with Terrestrial Laser Scanning., , , , , and . IGARSS, page 6284-6286. IEEE, (2018)Single and Multi-Date Landsat Classifications of Basalt to Support Soil Survey Efforts., , , and . Remote. Sens., 5 (10): 4857-4876 (2013)NASA's Surface Biology and Geology Concept Study: Status and Next Steps., , , , , , , , , and 15 other author(s). IGARSS, page 3269-3271. IEEE, (2020)A first overview of SnowEx ground-based remote sensing activities during the winter 2016-2017., , , , , , , , , and 34 other author(s). IGARSS, page 1391-1394. IEEE, (2017)Unmanned aerial vehicle (UAV) hyperspectral remote sensing for dryland vegetation monitoring., , , , , , and . WHISPERS, page 1-10. IEEE, (2012)Earth observation for landslide assessment., , and . IGARSS, page 765-767. IEEE, (2002)AdaptLidarTools: A Full-Waveform Lidar Processing Suite., , , , , and . eScience, page 369-377. IEEE, (2019)Spatial pattern of soil organic carbon acquired from hyperspectral imagery at reynolds creek critical zone observatory (RC-CZO)., , , , and . WHISPERS, page 1-5. IEEE, (2016)Empirical Methods for Remote Sensing of Nitrogen in Drylands May Lead to Unreliable Interpretation of Ecosystem Function., , , , , , , , , and 1 other author(s). IEEE Trans. Geosci. Remote. Sens., 57 (6): 3993-4004 (2019)