B040
Advances in Remote Sensing Theory on Vegetation: Radiative Transfer Modeling, Inversion, and Applications II

Wednesday, 9 December 2020: 07:00-08:00
Virtual
Primary Convener:  Yelu Zeng, Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, MD, United States
Conveners:  Yuri Knyazikhin, Boston University, Earth and Environment, Boston, MA, United States, Min Chen, Pacific Northwest National Laboratory, Joint Global Change Research Institute, Richland, WA, United States and Tiangang Yin, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Primary Liaison:  Yelu Zeng, Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, MD, United States
Chairs:  Yuri Knyazikhin, Boston University, Earth and Environment, Boston, MA, United States, Tiangang Yin, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Min Chen, Pacific Northwest National Laboratory, Joint Global Change Research Institute, Richland, WA, United States
OSPA Liaison:  Yelu Zeng, Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, MD, United States
07:00
Ent/ACTS: Canopy Albedo Predictions With An Analytical Geometric-Optical Radiative Transfer Model for Fusing Lidar Remote Sensing and Demographic Dynamic Global Vegetation Models Coupled to Earth System Models (744496)
Nancy Y Kiang, NASA Goddard Institute for Space Studies, New York, NY, United States, Wenge Ni-Meister, CUNY Hunter College, New York, NY, United States, Wenze Yang, University of Maryland, College Park, MD, United States and Igor D Aleinov, Columbia University, New York, NY, United States
07:04
Estimating Photon Recollision Probability from LiDAR Point Clouds (680619)
Di Wang1, Daniel Schraik1, Aarne Hovi2 and Miina Rautiainen3, (1)Aalto University School of Engineering, Department of Built Environment, Espoo, Finland, (2)Aalto University School of Engineering, Department of Built Environment, Aalto, Finland, (3)Aalto University School of Engineering / Aalto University School of Electrical Engineering, Department of Built Environment / Department of Electronics and Nanoengineering, Aalto, Finland
07:08
Validating a reflectance model based on photon recollision probability in single tree crowns (693607)
Aarne Hovi1, Petri Forsström1, Giulia Ghielmetti2, Michael E Schaepman2 and Miina Rautiainen3, (1)Aalto University School of Engineering, Department of Built Environment, Aalto, Finland, (2)University of Zurich, Department of Geography, Remote Sensing Laboratories, Zurich, Switzerland, (3)Aalto University School of Engineering / Aalto University School of Electrical Engineering, Department of Built Environment / Department of Electronics and Nanoengineering, Aalto, Finland
07:12
Can estimation of leaf area density from terrestrial LiDAR scanning data be further improved by using additional information provided by full-waveform instruments? (705580)
Eric R Kent, University of California, Davis, Department of Plant Sciences, Davis, CA, United States and Brian Bailey, University of California Davis, Davis, CA, United States
07:16
Leaf Volume Reflectance: Better Estimate of Leaf Chlorophyll Concentration (738677)
Vern C Vanderbilt, NASA Ames Research Center, Earth Science Division, Moffett Field, CA, United States, Craig S.T. Daughtry, USDA ARS, Hydrology & Remote Sensing Lab, Beltsville, MD, United States, Robert P. Dahlgren, California State University Monterey Bay, Seaside, CA, United States and Kyle H. Holland, Holland Scientific, Inc., Lincoln, NE, United States
07:20
GAI and chlorophyll content monitoring over wheat fields from continuous sub-hourly spectroradiometer measurements (683135)
Wenjuan Li1,2, Marie Weiss3, Sylvain Jay2, Alexis Comar1, Jeremy Labrosse1, Jocelyn Gillet1, Raul Lopez-Lozano3, Guy Deshayes4, Benoit De Solan4 and Frederic Baret3, (1)HIPHEN, Avignon, France, (2)INRA, Avignon, France, (3)INRAE, Avignon, France, (4)Arvalis, Avignon, France
07:24
High spatial resolution gap free biophysical variables for Earth Observation at continental scales with Google Earth Engine (730371)
Laura Martínez-Ferrer1, Alvaro Moreno1,2, Jordi Muñoz1, Emma Izquierdo-Verdiguier3, Manuel Campos-Taberner4, Javier García Haro4, J. Emmanuel Johnson1, Marco P Maneta5, Nathaniel Robinson6, Nicholas Clinton7, John Kimball8, Steven W Running9 and Gustau Camps-Valls1, (1)Image Processing Laboratory, Universitat de València, Paterna, Spain, (2)University of Montana, Numerical Terradynamic Simulation Group (NTSG), Montana, United States, (3)BOKU University of Natural Resources and Life Sciences, Institute of Geomatics, Vienna, Austria, (4)Universitat de València, Department of Earth Physics and Thermodynamics, València, Spain, (5)Associate Professor, University of Montana, Geosciences, Missoula, MT, United States, (6)Panthera, New York, MT, United States, (7)Google Inc., Mountain View, CA, United States, (8)University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States, (9)University of Montana, Numerical Terradynamic Simulation Group (NTSG), Missoula, MT, United States
07:28
Validation of land surface temperature products from MODIS, ECOSTRESS, Landsat, GOES-R, VIIRS and Sentinel-3 benchmarked on in situ measurements in the U.S. Corn Belt (715657)
Kaiyuan Li, University of Illinois at Urbana-Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States, Kaiyu Guan, University of Illinois at Urbana-Champaign, Department of Natural Resources and Environmental Sciences and National Center for Supercomputing Applications, Urbana, IL, United States, Chongya Jiang, University of Illinois at Urbana-Champaign, College of Agricultural, Consumers, and Environmental Sciences, Urbana, IL, United States, Sheng Wang, University of Illinois at Urbana-Champaign, Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, United States, Bin Peng, University of Illinois at Urbana Champaign, National Center for Supercomputing Applications, Urbana, IL, United States and Yaping Cai, University of Illinois at Urbana Champaign, College of Agricultural Consumer and Environmental Sciences, Urbana, IL, United States
07:32
Discussion
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