B33D:
Ecosystem Structure: Remote Sensing Observations and Modeling of Its Influence on Radiation Regimes and Gas Exchanges I Posters

Session ID#: 4708

Wednesday, 17 December 2014: 1:40 PM-6:00 PM
Not an Option (Moscone West)
Chairs:  Martin Beland, University of California Berkeley, Berkeley, CA, United States, Hideki Kobayashi, JAMSTEC Japan Agency for Marine-Earth Science and Technology, RIGC, Kanagawa, Japan and Brady S Hardiman, Boston University, Boston, United States
Primary Convener:  Martin Beland, University of California, Berkeley, Berkeley, United States
Co-conveners:  Hideki Kobayashi, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Research Institute for Global Change, Yokohama, Japan and Brady S Hardiman, Boston University, Boston, United States
OSPA Liaison:  Martin Beland, University of California Berkeley, Berkeley, CA, United States
Co-Sponsor(s):
  • GC - Global Environmental Change
Index Terms:

0416 Biogeophysics [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
Virtual Option?: No

Abstracts Submitted to this Session:

 
B33D-0203
Mapping Urban Forest Leaf Area Index Using Lidar: A Comparison of Gap Fraction Inversion and Allometric Methods (5303)
Michael Alonzo, American University, Department of Environmental Science, Washington, DC, United States, Bodo Bookhagen, University of Potsdam, Institute of Geosciences, Potsdam, Germany, Joseph P McFadden, University of California Santa Barbara, Department of Geography, Santa Barbara, CA, United States, Alex Sun, University of California Santa Barbara, Santa Barbara, CA, United States and Dar A Roberts, University of California, Santa Barbara, Department of Geography, Santa Barbara, United States
 
B33D-0204
Lidar point cloud representation of canopy structure for biomass estimation (12797)
Amy L Neuenschwander, University of Texas at Austin, Center for Space Research, Austin, TX, United States, Daniel J Krofcheck, University of New Mexico Main Campus, Albuquerque, NM, United States and Marcy E Litvak, University of New Mexico, Department of Biology, Albuquerque, United States
 
B33D-0205
Structure Measurements of Leaf and Woody Components of Forests with Dual-Wavelength Lidar Scanning Data (13939)
Zhan Li1, Alan H Strahler2, Crystal Schaaf3, Glenn Howe4, Jason Martel4, Kuravi Hewawasam4, Ewan S Douglas5, Supriya Chakrabarti6, Tim Cook7, Ian Paynter8, Edward Joseph Saenz8, Zhuosen Wang9, Curtis E Woodcock10, David L. B. Jupp11, Michael Schaefer11 and Glenn Newnham12, (1)Boston University, Boston, MA, United States, (2)Boston University, Department of Earth and Environment, Boston, United States, (3)University of Massachusetts Boston, School for the Environment, Boston, United States, (4)University of Massachusetts, Lowell, Lowell, MA, United States, (5)University of Arizona, Department of Astronomy, Tucson, AZ, United States, (6)University of Massachusetts Lowell, Lowell Center for Space Science and Technology, Lowell, MA, United States, (7)University of Massachusetts Lowell, Lowell, MA, United States, (8)University of Massachusetts Boston, Boston, MA, United States, (9)University of Maryland, College Park, Earth System Science Interdisciplinary Center, College Park, MD, United States, (10)Boston University, Earth and Environment, Boston, United States, (11)CSIRO Marine and Atmospheric Research, Canberra, Australia, (12)CSIRO Land and Water, Clayton South, Australia
 
B33D-0206
Assessing the Utility of Green LiDAR for Characterizing Forest Canopy Structure and Stream Bathymetry in Riparian Zones. (17601)
L. M. Moskal, University of Washington Seattle Campus, School of Environmental and Forest Sciences, Seattle, United States and Jeffrey J Richardson, University of Washington Seattle Campus, Seattle, WA, United States
 
B33D-0207
Shrub biomass, net primary production, and canopy spectral imaging (NDVI) exhibit consistent correspondence across Arctic Tundra habitats. (18966)
Charles Elliot Flower1, Jeffrey M Welker2, Andy Anderson-Smith2, Niccole Van Hoey2, Christopher Whelan3 and Miquel A Gonzalez-Meler4, (1)University of Illinois at Chicago, Chicago, IL, United States, (2)University of Alaska Anchorage, Anchorage, AK, United States, (3)University of Illinois at Chicago, Biological Sciences, Chicago, IL, United States, (4)University of Illinois at Chicago, Department of Biological Sciences, Chicago, United States
 
B33D-0208
Ecological Characterization Of An Intact Tropical Peat Forest Using Airborne Small Footprint LiDAR (19222)
HA THANH Nguyen, Boston University, Boston, MA, United States, Lucy Hutyra, Boston University, Earth & Environment, Boston, MA, United States, Steve M Raciti, Hofstra University, Biology, Hempstead, NY, United States and Brady S Hardiman, Boston University, Boston, United States
 
B33D-0209
Modelling canopy scale solar induced chlorophyll fluorescence simulated by the three dimensional radiative transfer model (21143)
Hideki Kobayashi1, Shin Nagai2, Tomoharu Inoue2, Wei Yang2 and Kazuhito Ichii2,3, (1)JAMSTEC Japan Agency for Marine-Earth Science and Technology, RIGC, Kanagawa, Japan, (2)JAMSTEC, Yokohama, Japan, (3)NIES National Institute of Environmental Studies, Ibaraki, Japan
 
B33D-0210
Automatic Individual Shrub Delineation from Terrestrial Laser Scanning (TLS) Data (26453)
Aihua Li, Boise State University, Boise, ID, United States and Nancy F Glenn, Boise State Univ, Boise, United States
 
B33D-0211
Estimating pre-fire biomass for the 2013 California Rim Fire using airborne LiDAR and Landsat data (27471)
Mariano Garcia-Alonso1, Ángeles Casas Planes1, Alexander Koltunov2,3, Susan Ustin4, Matthias Falk5 and Carlos Ramirez3, (1)University of Alcala, Department of Geology, Geography and Environment, Madrid, Spain, (2)University of California, Davis, Center for Spatial Technologies and Remote Sensing (CSTARS), Davis, United States, (3)USDA Forest Service, Pacific Southwest Region Remote Sensing Lab, McClellan, CA, United States, (4)University of California Davis, Center for Spatial Technologies and Remote Sensing (CSTARS), Davis, United States, (5)University of California Davis, Davis, CA, United States
 
B33D-0212
Mapping standing dead trees (snags) in the aftermath of the 2013 Rim Fire using airborne LiDAR data. (27567)
Ángeles Casas Planes1, Mariano Garcia-Alonso2, Alexander Koltunov3,4, Susan Ustin5, Matthias Falk1, Carlos Ramirez6 and Rodney Siegel7, (1)University of California Davis, Davis, CA, United States, (2)University of Alcala, Department of Geology, Geography and Environment, Madrid, Spain, (3)University of California, Davis, Center for Spatial Technologies and Remote Sensing (CSTARS), Davis, United States, (4)USDA Forest Service, McClellan, CA, United States, (5)University of California Davis, Center for Spatial Technologies and Remote Sensing (CSTARS), Davis, United States, (6)USDA Forest Service, Pacific Southwest Region Remote Sensing Lab, McClellan, CA, United States, (7)The Institute for Bird Populations, Point Reyes Station, CA, United States
See more of: Biogeosciences