B031
Advances in Understanding Forest Dynamics Using Ecological Modeling and Remote Sensing III Posters

Wednesday, 9 December 2020: 04:00-20:59
Poster
Primary Convener:  Amanda Hildt Armstrong, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Conveners:  Temilola Fatoyinbo, NASA GSFC, Greenbelt, MD, United States and Howard E Epstein, University of Virginia, Charlottesville, VA, United States
Primary Liaison:  Amanda Hildt Armstrong, Universities Space Research Association Columbia, Columbia, MD, United States
Chairs:  Howard E Epstein, University of Virginia, Charlottesville, VA, United States and Amanda Hildt Armstrong, Universities Space Research Association Columbia, Columbia, MD, United States
OSPA Liaison:  Temilola Fatoyinbo, NASA GSFC, Greenbelt, MD, United States
 
Application of small area variance estimates of forest parameters using earth observation auxiliary variables and a k-Nearest Neighbours technique. (693262)
Dylan Walshe1,2, Daniel McInerney2, Joao Paulo Pereira2 and Kenneth A Byrne1, (1)University of Limerick, Biological Sciences, Limerick, Ireland, (2)Coillte Forest, Limerick, Ireland
 
Can Broad-band Remote Sensing Provide Regional Estimates of Foliar N and Amax? (751769)
Jack Hastings1,2, Scott V Ollinger1,3, Andrew Ouimette1 and Lucie C Lepine4,5, (1)Earth Systems Research Center, University of New Hampshire, Durham, NH, United States, (2)University of New Hampshire Main Campus, Department of Natural Resources and the Environment, Durham, NH, United States, (3)University of New Hampshire, Department of Natural Resources and the Environment, Durham, NH, United States, (4)University of New Hampshire, Earth Systems Research Center, Durham, NH, United States, (5)USDA Forest Service, Urban Forest Inventory & Analysis, Durham, NH, United States
 
Classification of Tree Genotype using Spectro-temporal Variance in Biophysical Traits Estimated from UAV-based Hyperspectral Time Series Data (775726)
Aravind Harikumar, University of Toronto, Mississauga, ON, Canada and Ingo Ensminger, University of Toronto, Department of Biology, Toronto, ON, Canada
 
Synthetic Spectranomics: Deep learning of surface 3-D geometry, chemistry, and hyperspectra to inform next-generation land models (710593)
Adam Erickson and Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Estimation of Tree Mortality and Recruitment Rate Derived from National Inventory Data of South Korea (726349)
Daun Ryu, Seoul National University, Seoul, Korea, Republic of (South), Hyun Seok Kim, Seoul National University, Department of Forest Sciences, Seoul, South Korea; Seoul National University, Research Institute for Agriculture and Life Sciences, Seoul, South Korea and Il-Bin Jung, Korea Forest Promotion Institute, Seoul, South Korea
 
SNAGGING DROUGHT-RELATED TREE MORATLIY OVER TIME WITH MACHINE LEARNING (710876)
Liz Van Wagtendonk1,2, Van R Kane2, Pratima K C2, Sean M Hendryx3, Sean Jeronimo2, Malcolm North4 and Harold Zald5, (1)Seattle, Washington, United States, (2)University of Washington Seattle Campus, School of Environmental and Forest Sciences, Seattle, WA, United States, (3)University of Arizona, School of Information, Tucson, AZ, United States, (4)USDA Forest Service, Davis, CA, United States, (5)Humboldt State University, Department of Foresty and Wildland Resources, Arcata, CA, United States
 
Evaluation of Solar-Induced Chlorophyll Fluorescence as a Prediction of Gross Primary Production using Multiple Eddy Covariance Sites (683686)
Theresia Yazbeck, Ohio State University Main Campus, Columbus, OH, United States, Gil Bohrer, Ohio State University, Civil, Environmental & Geodetic Engineering, Columbus, OH, United States, Pierre Gentine, Columbia University, Earth and Environmental Engineering, New York, NY, United States and Luping Ye, Department of Earth and Environmental Engineering, Columbia University, New York, United States
 
From tropics to treeline: assessing and extending metabolic theory for plant mortality using globally-distributed forest data (772724)
Isaac Borrego1, Brian Joseph Enquist2, Josef Garen3, Timothy Perez1, Vanessa Buzzard4 and Sean T Michaletz3, (1)University of British Columbia, Vancouver, BC, Canada, (2)University of Arizona, Ecology and Evolutionary Biology, Tucson, AZ, United States, (3)University of British Columbia, Department of Botany and Biodiversity Research Centre, Vancouver, BC, Canada, (4)University of Arizona, Tucson, AZ, United States
 
Phenological variation in vegetation indices, leaf area index, and fraction of absorbed photosynthetically active radiation from Harmonized Landsat 8 and Sentinel-2 Data (696017)
Leticia Lee, Boston University, Boston, MA, United States and Mark A Friedl, Boston University, Earth and Environment, Boston, MA, United States
 
Spatial distribution modeling of eucalypt bark traits significant to fire behaviour in SE Australian forests (673972)
Kathryn Fuller1, Rachael Nolan2, Michael J. Aspinwall3 and Matthias M Boer1, (1)Western Sydney University, Hawkesbury Institute for the Environment, Richmond, Australia, (2)Western Sydney University, Richmond, Australia, (3)Auburn University, Forestry and Wildlife Sciences, Auburn, AL, United States
 
Exploring drivers of fire-caused forest structural changes using modeling and digital aerial photogrammetry (701873)
Saba Saberi, Seattle, WA, United States and Van R Kane, University of Washington Seattle Campus, School of Environmental and Forest Sciences, Seattle, WA, United States
 
Linking tree life history characteristics and population dynamics to plant hydraulics (707700)
Junyan Ding, Lawrence Berkeley National Laboratory, Earth Sciences Division, Berkeley, CA, United States, Ryan G Knox, MIT, Cambridge, MA, United States, Roger C Bales, University of California Merced, Merced, CA, United States, Polly Buotte, University of California, Berkeley, Energy and Resources Group, Berkeley, CA, United States, Bradley Christoffersen, University of Texas Rio Grande Valley, Edinburg, United States, Rosie Fisher, National Center for Atmospheric Research, Boulder, CO, United States, Michael Goulden, Univesity of California, Irvine, Department of Earth System Science, Irvine, CA, United States, Edward A Johnson, Univ Calgary, Biological Sciences, Calgary, AB, Canada, Lara M Kueppers, University of California Berkeley, Energy and Resources Group, Berkeley, CA, United States, Jacquelyn K Shuman, University of Virginia, Charlottesville, VA, United States, Chonggang Xu, Los Alamos National Laboratory, Los Alamos, NM, United States and Charlie Koven, Earth Sciences Division, Lawrence Berkeley National Laboratory,, Berkeley, CA, United States
 
Spatio-Temporal Dynamics of Water Use Efficiency of Forest Ecosystem Using Time Series Satellite Data and Flux Measurements (745012)
Triparna Sett1, Subrata Nandy2, Natvarlal R Patel3 and Hitendra Padalia2, (1)Indian Institute of Remote Sensing, Water Resource, Dehradun, India, (2)Indian Institute of Remote Sensing, Forestry & Ecology, Dehradun, India, (3)Indian Institute of Remote Sensing, Agriculture and Soils, Dehradun, India
 
The Devil is in the Details: Application of Emulation-Based Data Assimilation Techniques to Constrain a Dynamic Ecosystem Model (675066)
Bailey Murphy, University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States and Ankur R Desai, University of Wisconsin Madison, Madison, WI, United States
 
Global controls of environmental and land surface conditions on forest carbon stock dynamics (723221)
Simon Besnard1,2, Maurizio Santoro3, Oliver Cartus3, Naixin Fan4, Sujan Koirala1, Nora Linscheid1, Ulrich Weber1 and Nuno Carvalhais1,5, (1)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (2)Wageningen University and Research Center, Laboratory of Geo-Information Science and Remote Sensing, Wageningen, Netherlands, (3)Gamma Remote Sensing, Guemligen, Switzerland, (4)Max Planck Institute for Biogeochemistry, Jena, Germany, (5)Universidade Nova de Lisboa, Departamento de Ciências e Engenharia do Ambiente, Lisbon, Portugal
 
Tighten the Bolts and Nuts on GPP Estimations from Sites to the Globe: An Assessment of LUE Models and Supporting Data Fields (720313)
Zhao Wang1, Shuguang Liu2, Yingping Wang3, Ruben Valbuena4, Yiping Wu5, Mykola Kutia6, Shuqing Zhao7, Wenping Yuan8, Yi Zheng8, Yu Zhu9, Weizhi Lu Sr.1,9, Meifang Zhao10, Xi Peng9, Haiqiang Gao11 and shuai Long Feng1, (1)Central South University of Forestry and Technology, Changsha, China, (2)Faculty of Life Science and Technology, and National Engineering Laboratory for Applied Technology in Forestry & Ecology in Southern China, Central South University of Forestry and Technology, Changsha, China, (3)CSIRO, Ocean and Atmosphere Flagship, Aspendale, Australia, (4)School of Natural Sciences, Thoday Building, Deiniol Road, Bangor University, Gwynedd, LL57 2UW, UK., Bangor, United Kingdom, (5)Xi'an Jiaotong University, Department of Earth & Environmental Sciences, Xi'an, China, (6)School of Natural Sciences, Thoday Building, Deiniol Road, Bangor University, Gwynedd, LL57 2UW, UK, Bangor, United Kingdom, (7)Peking University, College of Urban and Environmental Sciences, Beijing, China, (8)Sun Yat-Sen University, Guangzhou, China, (9)College of Life Science and Technology, Central South University of Forestry and Technology, Changsha, China, (10)College of Life Science and Technology, Central South University of Forestry and Technology, Cahngsha, China, (11)Central South University of Forestry and Technology, National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Changsha, China
 
Global analysis of the links between forest structure and land surface albedo (705246)
Sara Alibakhshi, Helsinki, Finland, Babak Naimi, University of Helsinki, Department of Geosciences and Geography, Helsinki, Finland, Aarne Hovi, Aalto University School of Engineering, Department of Built Environment, Aalto, Finland, Tom Crowther, Institute of Integrative Biology, ETH Zurich, Universitätstrasse, Zurich, Switzerland and Miina Rautiainen, Aalto University School of Engineering / Aalto University School of Electrical Engineering, Department of Built Environment / Department of Electronics and Nanoengineering, Aalto, Finland
 
Exploring Successional Dynamics and Permafrost Thaw Post-Fire in Siberian Arctic Boreal Forest (774132)
Scott LaRocca1, Jennie DeMarco2, Ian Breckheimer3 and Phil Crossley2, (1)Gunnison, CO, United States, (2)Western Colorado University, Gunnison, CO, United States, (3)Rocky Mountain Biological Laboratory, Gothic, MA, United States
 
Use of multi-temporal LiDAR to quantify stand volume and biomass response to fertilization at larger spatial scales in coastal Douglas-fir forests. (742364)
Jason Kelley, University of Victoria, Victoria, BC, Canada, John A Trofymow, Natural Resources Canada, Canadian Forest Service, Victoria, BC, Canada, Juha Metsaranta, Natural Resources Canada - Canadian Forest Service, Edmonton, AB, Canada and Cosmin Filipescu, Natural Resources Canada - Canadian Forest Service, Canadian Wood Fibre Centre, Victoria, BC, Canada
 
Using Individual-Based Modeling to Understand Future Climate Impacts on Canadian Aspen Parklands (747568)
Alexander Creighton1, Brendan M Rogers2, Batuhan Osmanoglu1, Paul M Montesano1,3, Howard E Epstein4, Kenneth Ranson1, Herman Henry Shugart5, Scott J Goetz6, Michael Michaelian7, Ted Hogg8 and Amanda Hildt Armstrong1,9, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Woods Hole Research Center, Falmouth, MA, United States, (3)NASA Goddard Space Flight Center | SSAI, Greenbelt, MD, United States, (4)University of Virginia, Charlottesville, VA, United States, (5)University of Virginia, Department of Environmental Sciences, Charlottesville, VA, United States, (6)Northern Arizona University, SICCS, Flagstaff, AZ, United States, (7)Natural Resources Canada - Canadian Forest Service, Edmonton, AB, Canada, (8)Canadian Forest Service, Edmonton, Canada, (9)Universities Space Research Association Columbia, Columbia, MD, United States
 
The bioclimatic extent and pattern of the cold edge of the boreal forest: the circumpolar taiga-tundra ecotone (703000)
Paul M Montesano1, Christopher S R Neigh2, Matthew J Macander3, Min Feng4 and Praveen Noojipady1, (1)NASA Goddard Space Flight Center | SSAI, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, (3)ABR, Inc.—Environmental Research & Services, Fairbanks, AK, United States, (4)terraPulse, Inc., Washington, United States
 
Evaluating terrain elevation estimates from stereogrammetric high resolution spaceborne imagery with airborne lidar (747548)
William Wagner1, Paul Montesano2, Christopher S R Neigh3 and Margaret Wooten1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Science Systems and Applications, Inc., Lanham, MD, United States, (3)NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States
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