B53B:
Forest Canopy Structure: Remote Sensing Observations and Modeling of Its Influence on Radiation Regimes and Gas Exchanges Posters


Session ID#: 8166

Session Description:
Forest canopy structure influences the solar radiation measured from satellite sensors used to map essential climate variables and leaf biochemistry. It also influences nonlinear processes regulating the exchange of CO2 and water vapour with the atmosphere. Advances in remote sensing technology (e.g. LiDAR, RADAR) offer improved capacities to characterise canopy structure and examine its influence at spatial scales ranging from plot to global. We invite contributions investigating the retrieval of forest structure information from remote sensing, and the use forest structure information in radiative transfer, biophysical, vegetation dynamics, or terrestrial biosphere models.
Primary Convener:  Martin Beland, Laval University, Quebec City, QC, Canada
Conveners:  Hideki Kobayashi, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, Tristan L Quaife, University of Reading, Meteorology, Reading, RG6, United Kingdom and Brady S Hardiman, Boston University, Boston, MA, United States
Chairs:  Martin Beland, Laval University, Quebec City, QC, Canada and Hideki Kobayashi, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan
OSPA Liaison:  Tristan L Quaife, University of Reading, Meteorology, Reading, RG6, United Kingdom

Cross-Listed:
  • GC - Global Environmental Change
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Aboveground Biomass and Dynamics of Forest Attributes using LiDAR Data and Vegetation Model (58179)
Padma Alekhya V V L, National Remote Sensing center, Hyderabad, India; Research Scholar, Forestry and Ecology Group, Hyderabad, India
Linking Remotely Sensed Functional Diversity of Structural Traits to the Radiative Regime of a Temperate Mixed Forest (Invited) (60223)
Fabian Daniel Schneider, University of Zurich, Remote Sensing Laboratories, Zurich, Switzerland, Felix Morsdorf, University of Zurich, Zurich, Switzerland, Reinhard Furrer, Institute of Mathematics, University of Zurich, Zurich, Switzerland, Bernhard Schmid, University of Zurich, Institute of Evolutionary Biology and Environmental Studies, Zurich, Switzerland and Michael E Schaepman, University of Zurich, Department of Geography, Remote Sensing Laboratories, Zurich, Switzerland
Linking vegetation structure, function and physiology through spectroscopic remote sensing (Invited) (65261)
Shawn Serbin1,2, Aditya Singh3, John J Couture4, Alexey N Shiklomanov5, Alistair Rogers6, Ankur R Desai7, Eric L Kruger4 and Philip A Townsend8, (1)Stony Brook University, Ecology and Evolution, Stony Brook, NY, United States, (2)Brookhaven National Laboratory, Biological, Environmental & Climate Sciences, Upton, NY, United States, (3)University of Wisconsin Madison, Madison, WI, United States, (4)University of Wisconsin-Madison, Forest and Wildlife Ecology, Madison, WI, United States, (5)Boston University, Boston, MA, United States, (6)Brookhaven National Laboratory, Environmental & Climate Sciences Department, Upton, NY, United States, (7)University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States, (8)University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, WI, United States
On the accurate estimation of gap fraction during daytime with digital cover photography (65620)
Yorum Hwang, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, Korea, Republic of (South), Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea, Hyungsuk Kimm, University of Illinois at Urbana-Champaign, Department of Natural Resources and Environmental Sciences, Urbana, United States, Craig Macfarlane, CSIRO Land and Water Flagship, Private Bag No. 5, Wembley,WA6917, Australia, Mait Lang, Tartu Observatory, 61602 Tõravere, Tartu, Estonia and Oliver Sonnentag, University of Montreal, Geography, Montreal, QC, Canada
Satellite Estimation of Overstory and Understory Leaf Area Index (LAIo & LAIu) in Boreal Forests (68194)
Wei Yang, Center for Environmental Remote Sensing, Chiba University, Chiba, Japan, Hideki Kobayashi, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan and Kenlo Nishida Nasahara, University of Tsukuba, Faculty of Life and Environmental Sciences, Tsukuba, Japan
Waveform- and Terrestrial Lidar Assessment of the Usual (Structural) Suspects in a Forest Canopy (Invited) (71574)
Jan A van Aardt, Rochester Institute of Technology, Rochester, NY, United States, Paul Romanczyk, Aerospace Corporation Pasadena, Pasadena, CA, United States, David Kelbe, Oak Ridge National Laboratory, Oak Ridge, TN, United States, Martin van Leeuwen, University College London, Geography, London, United Kingdom, Kerry Cawse-Nicholson, GeoSpectral Imaging, Johannesburg, South Africa, Christopher Michael Gough, Virginia Commonwealth University, Biology, Richmond, VA, United States and Dr. Thomas U Kampe, PhD, NEON, Boulder, CO, United States
Ground-Based Lidar Measurements of Forest Canopy Structure as Predictors of Net Primary Production Across Successional Time (72694)
Cynthia M Scheuermann, Virginia Commonwealth University, Richmond, VA, United States, Christopher Michael Gough, Virginia Commonwealth University, Biology, Richmond, VA, United States and Lucas E Nave, University of Michigan, Ann Arbor, MI, United States
Assessing the impact of radiative parameter uncertainty on plant growth simulation (73757)
Toni Viskari1, Shawn Serbin2, Michael Dietze3 and Alexey N Shiklomanov1, (1)Boston University, Boston, MA, United States, (2)Brookhaven National Laboratory, Biological, Environmental & Climate Sciences, Upton, NY, United States, (3)Boston University, Earth and Environment, Boston, MA, United States
Changes of ndvi across vertical canopy layers in temperate deciduous forest during a litterfall period (76041)
Jongmin Kim, Seoul National University, Interdisciplinary Program in Landscape Architecture, Seoul, South Korea and Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea
Global simulation of canopy scale sun-induced chlorophyll fluorescence with a 3 dimensional radiative transfer model (76677)
Hideki Kobayashi, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, Wei Yang, Center for Environmental Remote Sensing, Chiba University, Chiba, Japan and Kazuhito Ichii, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Department of Environmental Geochemical Cycle Research, Kanagawa, Japan
Regional forest biomass estimation using ICESat/GLAS spaceborne LiDAR (77941)
Masato Hayashi1, Nobuko Saigusa1, Borjigin Habura1, Yoshito Sawada2, Yoshiki Yamagata1, Takashi Hirano3 and Kazuhito Ichii1,4, (1)Nat Inst Environmental Studies, Ibaraki, Japan, (2)NIES National Institute of Environmental Studies, Ibaraki, Japan, (3)Hokkaido University, Research Faculty of Agriculture, Sapporo, Japan, (4)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Department of Environmental Geochemical Cycle Research, Kanagawa, Japan
Estimation of Canopy Sunlit Fraction of Leaf Area from Ground-Based Measurements (79823)
Yuri Knyazikhin1, Bin Yang2, Kai Yan3, Chi Chen1, Taejin Park4, Sungho CHOI3, Matti Mottus5, Miina Rautiainen5, Pauline Stenberg5, Ranga Myneni1 and Lei Yan6, (1)Boston University, Earth and Environment, Boston, MA, United States, (2)Hunan University, College of Electrical and Information Engineering, Changsha, China, (3)Boston University, Earth & Environment, Boston, MA, United States, (4)Boston University, Department of Earth and Environment, Boston, MA, United States, (5)University of Helsinki, Helsinki, Finland, (6)Peking University, Beijing, China
THERMAL IMAGING OF FOREST CANOPY TEMPERATURES: RELATIONSHIPS WITH BIOLOGICAL AND BIOPHYSICAL DRIVERS AND ECOSYSTEM FLUXES (80981)
Christopher J Still1, Youngil Kim2, Chad V Hanson3, Beverly Elizabeth Law3, Hyojung Kwon3, Mark Schulze3, Stephanie Pau4 and Matteo Detto5, (1)Oregon State University, Forest Ecosystems and Society, Corvallis, United States, (2)Oregon State University, Forest Ecosystems and Society, Corvallis, OR, United States, (3)Oregon State University, Corvallis, OR, United States, (4)Florida State University, Geography, Tallahassee, FL, United States, (5)Smithsonian Tropical Research Institute, LaVerne, CA, United States
Developing a global mixed-canopy, height-variable vegetation structure dataset for estimating global vegetation albedo and biomass in the NASA Ent Terrestrial Biosphere Model and GISS GCM (81615)
Carlo Montes1, Nancy Y Kiang1, Wenze Yang2, Wenge Ni-Meister3, Crystal Schaaf4, Igor D Aleinov5, Jeffrey Jonas6, Feng Zhao7, Tian Yao8, Zhuosen Wang9 and Qingsong Sun4, (1)NASA Goddard Institute for Space Studies, New York, NY, United States, (2)University of Maryland, College Park, MD, United States, (3)Hunter College of The City University of New York, New York, United States, (4)University of Massachusetts Boston, School for the Environment, Boston, MA, United States, (5)Columbia University of New York, Palisades, NY, United States, (6)Columbia Univ, New York, NY, United States, (7)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (8)Universities Space Research Association Greenbelt, Greenbelt, United States, (9)University of Maryland, College Park, Earth System Science Interdisciplinary Center, College Park, MD, United States
Improving Forest Attribute Estimation of Airborne Lidar Based on Profile Assimilation from Terrestrial Lidar (83037)
Zhouxin Xi1, Chris Hopkinson1 and Laura Chasmer2, (1)University of Lethbridge, Lethbridge, AB, Canada, (2)University of Lethbridge, Geography and Environment, Lethbridge, AB, Canada
Reducing uncertainty for estimating forest carbon stocks and dynamics using integrated remote sensing, forest inventory and process-based modeling (Invited) (83076)
Benjamin Poulter1, Philippe Ciais2, Emilie Joetzjer3, Fabienne Maignan4, Sebastiaan Luyssaert4 and Jonathon Barichivich4, (1)NASA GSFC, Biospheric Science, Greenbelt, United States, (2)CNRS, Paris Cedex 16, France, (3)Montana State University, Bozeman, MT, United States, (4)CEA Saclay DSM / LSCE, Gif sur Yvette, France

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