B071
Advances in the Application of Remote Sensing for Biodiversity Monitoring: Integrating Data and Models Across Scales and Technologies II

Friday, 11 December 2020: 17:30-18:30
Virtual
Primary Convener:  Keith Gaddis, NASA Headquarters, Washington, DC, United States
Conveners:  Adam Wilson, SUNY Buffalo, Geography, Buffalo, NY, United States, Erin Lee Hestir, University of California, Merced, Merced, CA, United States and William W Turner, NASA Headquarters, Washington DC, DC, United States
Primary Liaison:  Keith Gaddis, NASA Headquarters, Washington, DC, United States
Chairs:  Gary N Geller, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Keith Gaddis, NASA Headquarters, Washington, DC, United States, William W Turner, NASA Headquarters, Washington DC, DC, United States and Adam Wilson, SUNY Buffalo, Geography, Buffalo, NY, United States
OSPA Liaison:  Keith Gaddis, NASA Headquarters, Washington, DC, United States
17:30
Scaling Ecological Insights (Invited) (673598)
Lucas Joppa, Microsoft, Redmond, United States
17:34
Scale Dependence in the Relationship between Forest Structural Diversity and Vascular Plant Diversity across Ecoclimatic Gradients (769065)
Christopher R Hakkenberg, Northern Arizona University, Flagstaff, AZ, United States and Scott J Goetz, Northern Arizona University, SICCS, Flagstaff, AZ, United States
17:38
Understanding the evolutionary and environmental sources of spectral variation within species, communities and across the plant tree of life to enhance biodiversity detection (730089)
Jeannine Cavender-Bares1, Jose Meireles2, Peter B. Reich3, Meredith Schuman4, Nathan Springer5, Philip A Townsend6, Laura Williams7 and Ya Yang5, (1)University of Minnesota, Dept. of Ecology, Evolution and Behavior, Saint Paul, MN, United States, (2)University of Maine, School of Biology and Ecology, Orono, ME, United States, (3)University of Minnesota Twin Cities, Department of Forest Resources, St. Paul, MN, United States, (4)University of Zurich, Departments of Geography and Chemistry, Zurich, Switzerland, (5)University of Minnesota, Plant and Microbial Biology, Saint Paul, MN, United States, (6)University of Wisconsin, Department of Forest and Wildlife Ecology, Madison, WI, United States, (7)University of Minnesota, Forest Resources, St Paul, United States
17:42
Using Taxonomically-Informed Convolutional Neural Networks To Predict Plant Biodiversity Across California From High-Resolution Satellite Imagery Data (712115)
Lauren Gillespie, Stanford University, Computer Science, Stanford, CA, United States; Carnegie Institution for Science Stanford, Department of Plant Biology, Stanford, CA, United States and Moises Exposito-Alonso, Stanford University, Department of Biology, Stanford, United States; Carnegie Institution for Science Stanford, Department of Plant Biology, Stanford, United States
17:46
Deep Learning Methods for Extracting Habitat Summaries from Remotely Sensed Data for Species Distribution Modeling (766735)
Laurel Hopkins1, Ulises Zaragoza2, Weng-Keen Wong2 and Rebecca Hutchinson1, (1)Oregon State University, Electrical Engineering and Computer Science, Corvallis, OR, United States, (2)Oregon State University, Electrical Engineering and Computer Science, Corvallis, United States
17:50
Quantifying and partitioning uncertainties in retrievals of plant traits from imaging spectroscopy data (693167)
Alexey N Shiklomanov, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Shawn Serbin, Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, NY, United States, David R Thompson, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Benjamin Poulter, NASA GSFC, Biospheric Science, Greenbelt, MD, United States
17:54
The pan-tropical expansion of tree plantations (2000-2012) (727807)
Matthew E Fagan1, Do-Hyung Kim2, Wesley Settle3, Lexie Ferry4, Justin Drew4, Haven Carlson4, Joshua Schaferbien4 and Joshua Slaughter4, (1)University of Maryland Baltimore County, Department of Geography and Environmental Systems, Baltimore, MD, United States, (2)UNICEF, Office of Innovation, New York, NY, United States, (3)University of Maryland, Baltimore County, Baltimore, MD, United States, (4)University of Maryland Baltimore County, Baltimore, United States
17:58
Find, Use, and Visualize NASA Earth Science Biodiversity Data (669693)
Paula Land, Cynthia Hall and Kevin Ward, NASA Headquarters, Earth Science Data Systems, Washington, DC, United States
18:02
Wildlife Insights: A platform to understand and share biodiversity information from in-situ passive sensors (698622)
Jorge A. Ahumada, Conservation International, Arlington, VA, United States and Tanya Birch, Google, Mountain View, United States
18:06
Discussion
See more of: Biogeosciences