GC11B
Carbon Monitoring Systems Research and Applications I Posters

Monday, 14 December 2015: 08:00-12:20
Poster Hall (Moscone South)
Primary Conveners:  George C Hurtt, University of Maryland College Park, College Park, MD, United States
Conveners:  Sangram Ganguly, NASA Ames Research Center, Moffett Field, CA, United States and Vanessa M Escobar, NASA Goddard Space Flight Center/Science Systems and Applications, Greenbelt, MD, United States
Chairs:  George C Hurtt, University of Maryland College Park, College Park, MD, United States and Sangram Ganguly, NASA Ames Research Center, Moffett Field, CA, United States
OSPA Liaisons:  George C Hurtt, University of Maryland College Park, College Park, MD, United States
 
Enabling global collaborations through policy engagement and CMS applications (81654)
Edil Sepulveda Carlo, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Vanessa M Escobar, NASA Goddard Space Flight Center/Science Systems and Applications, Greenbelt, MD, United States
 
Understanding user needs for carbon monitoring information (82411)
Riley M Duren, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
 
Overview of ARB’s Greenhouse Gas Research Program (85037)
Matthias Falk, California Air Resources Board, Research Division, Sacramento, CA, United States
 
Estimating global per-capita carbon emissions with VIIRS nighttime lights satellite data (58288)
Tommy Jasmin, University of Wisconsin Madison, Madison, WI, United States
 
Compact Solar Spectrometer Column CO2, and CH4 Observations: Performance Evaluation at Multiple North American TCCON Sites (83025)
Harrison Alexander Parker, Los Alamos National Laboratory, Los Alamos, NM, United States
 
Initial Results from an Atmospheric Validation of Urban Greenhouse Gas Budget Estimates for the US Northeast Corridor (71221)
Thomas Nehrkorn1, Steven C Wofsy2, Lucy Hutyra3, Phil Decola4, William Callahan5, Maryann R Sargent2, Kathryn McKain6, Yanina Barrera2, Taylor Jones2, Conor Gately3, Brady S Hardiman3, Marikate Ellis Mountain7, John Henderson7, George James Collatz8, Crystal L Schaaf3, Charles E Miller9, Amanda Long5, Christopher Sloop5 and Steve Prinzivalli5, (1)Atmospheric and Environmental Research Lexington, Lexington, MA, United States, (2)Harvard University, Cambridge, MA, United States, (3)Boston University, Boston, MA, United States, (4)Sigma Space Corporation, Lanham, MD, United States, (5)Earth Networks Inc., Germantown, MD, United States, (6)Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, (7)Atmospheric and Environmental Research, Lexington, MA, United States, (8)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (9)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
 
Revised spatially distributed global livestock emissions (73562)
Julie Wolf, Joint Global Change Research Institute, College Park, MD, United States
 
National Satellite Land Monitoring Systems for REDD+ : the UN-REDD support to countries (80675)
Inge G.C. Jonckheere, Food and Agriculture Organization of the United Nations, Rome, Italy
 
Local Discrepancies in Continental Scale Biomass Maps: A Case Study over Forested and Non-Forested Landscapes in Maryland, USA (72198)
Wenli Huang1, Anu Swatantran2, Kristofer D Johnson3, Laura Duncanson1, Hao Tang1, Jarlath ONeil-Dunne4, George C Hurtt1,2 and Ralph Dubayah1,2, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, MD, United States, (3)U.S. Forest Service, Newtown Square, PA, United States, (4)University of Vermont, Rubenstein School of Environment & Natural Resources, Burlington, VT, United States
 
Spatial and Temporal Analysis of Industrial Forest Clearcuts in the Conterminous United States (79837)
Lian-Zhi Huo and Luigi Boschetti, University of Idaho, Moscow, ID, United States
 
Quantification of uncertainty in aboveground biomass estimates derived from small-footprint LiDAR data (81512)
Jonathan A Greenberg1, Bo Li2, Carlos Ramirez3, Qing Xu2, James Joseph Balamuta2, Kirk Evans3, Albert Man2 and Zewei Xu2, (1)University of Illinois at Urbana Champaign, Department of Geography and Geographic Information Science, Urbana, IL, United States, (2)University of Illinois at Urbana Champaign, Urbana, IL, United States, (3)USDA Forest Service, Mcclellan Afb, CA, United States
 
Monitoring and Modeling of Large-Scale Pattern of Forest Height and Biomass based on the Metabolic Scaling Theory and Water-Energy Balance Equation (59157)
Sungho CHOI, Ranga B Myneni, Yuri Knyazikhin and Taejin Park, Boston University, Boston, MA, United States
 
A High Performance Computing Approach to Tree Cover Delineation in 1-m NAIP Imagery using a Probabilistic Learning Framework (76446)
Saikat Basu, Louisiana State University, Computer Science, Baton Rouge, LA, United States
 
Mapping 2002-2012 Aboveground Biomass Carbon from LiDAR and Landsat Time Series across Northern Idaho, USA (82310)
Andrew T Hudak, Rocky Mountain Research Station Moscow, Moscow, ID, United States, Patrick Fekety, University of Minnesota Twin Cities, Minneapolis, MN, United States, Michael J Falkowski, Colorado State University, Fort Collins, CO, United States, Robert E Kennedy, Oregon State University, Corvallis, OR, United States, Nicholas Crookston, University of Idaho, Moscow, ID, United States and Alistair MS Smith, University of Idaho, Department of Forest, Rangeland, and Fire Sciences, Moscow, ID, United States
 
Impacts of Sample Design on Estimation of Aboveground Biomass: Implications for the Assimilation of Lidar and Forest Inventory Data (86434)
Paul Duffy, Neptune and Company, Los Alamos, NM, United States
 
High-Resolution Modeling Disturbance-Induced Forest Carbon Dynamics with Lidar and Landsat Observations (70609)
Maosheng Zhao1, Chengquan Huang2, George C Hurtt2, Ralph Dubayah2, Justin Fisk2, Ritvik Sahajpal2, Steve Flanagan2, Anu Swatantran2, Wenli Huang2, Hao Tang2, Jarlath ONeil-Dunne3 and Kristofer D Johnson4, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, MD, United States, (3)University of Vermont, Rubenstein School of Environment & Natural Resources, Burlington, VT, United States, (4)USDA Forest Service Northern Research Statiuon, Newtown Square, PA, United States
 
Spatial and Temporal Trends in terrestrial Ecosystems Net primary Production: A Model-Data Comparison (64596)
Rashid Rafique1, Ghassem Asrar2, Fang Zhao3, Ning Zeng3 and Terrestrial Ecosystem Modeling Team, (1)JGCRI/PNNL, College Park, MD, United States, (2)Joint Global Change Research Institute, College Park, MD, United States, (3)University of Maryland College Park, College Park, MD, United States
 
Developing a generalized allometric equation for aboveground biomass estimation (85835)
James Joseph Balamuta, University of Illinois at Urbana Champaign, Urbana, IL, United States and GEARS NASA CMS Project
 
Calculating net primary productivity of forest ecosystem with G4M model: case study on South Korea (66924)
Sunyong Sung1, Nicklas Forsell2, Georg Kindermann2 and Dong Kun Lee1, (1)Seoul National University, Seoul, South Korea, (2)IIASA International Institute for Applied Systems Analysis, Laxenburg, Austria
 
What is the value of biomass remote sensing data for blue carbon inventories? (67211)
Kristin B Byrd, USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States
 
Mangrove Blue Carbon stocks and change estimation from PolInSAR, Lidar and High Resolution Stereo Imagery combined with Forest Cover change mapping (85833)
Temilola E Fatoyinbo, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
A Carbon Monitoring System Approach to US Coastal Wetland Carbon Fluxes: Progress Towards a Tier II Accounting Method with Uncertainty Quantification  (80143)
Lisamarie Windham-Myers, USGS California Water Science Center Menlo Park, Menlo Park, CA, United States
 
Preliminary Study: Application of Off-Axis ICOS to Determine Stable Carbon Isotope in Dissolved Inorganic Carbon (77550)
Youn-Tae Kim, Yonsei University, Seoul, South Korea
 
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