B007
Advances in the Remote Sensing of the Terrestrial Carbon Cycle

Session ID#: 81126

Session Description:
Despite technical advances in the monitoring and modelling of the terrestrial carbon cycle, large uncertainties still remain. In part, this is because temporal and spatial variations in plant physiology, phenology and canopy structure are not adequately represented in many ecosystem models. Recent advances in remote sensing (RS) techniques (e.g. plant trait mapping, solar-induced chlorophyll fluorescence (SIF)), an increasing archive of legacy observations (e.g. AVHRR, Landsat) and the innovative integration of multiple RS methods (e.g. SIF, LiDAR, hyperspectral, thermal), offer an unprecedented opportunity to forward terrestrial carbon cycle process understanding, spatially, and from second to decadal scales. Such advances can provide a valuable insight towards assessing the spatial patterns, temporal variability, and environmental controls on carbon exchange and source-sink activities. 

We particularly welcome submissions combining experimental data with novel RS techniques that advance the mechanistic understanding of terrestrial carbon cycling dynamics, at all observational scales from the leaf to the globe.

Index Terms:

0428 Carbon cycling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]

Primary Convener:  Holly Croft, University of Sheffield, Sheffield, United Kingdom
Conveners:  Shawn Serbin, Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, NY, United States, Alemu Gonsamo, McMaster University, School of Geography & Earth Sciences, Hamilton, ON, Canada and Jeff W Atkins, Virginia Commonwealth University, Biology, Richmond, VA, United States
Primary Liaison:  Holly Croft, University of Sheffield, Sheffield, United Kingdom
 
How can we best constrain terrestrial biosphere model carbon cycle predictions using satellite remote sensing data? (Invited) (489915)
Natasha MacBean1, Cédric Bacour2, Fabienne Maignan3, Philippe P Peylin3, Vladislav Bastrikov4, Nina Raoult5 and Jose Luis Gomez-Dans6, (1)Indiana University - Bloomington, Geography, Bloomington, IN, United States, (2)Noveltis, Labège, France, (3)CEA Saclay DSM / LSCE, Gif sur Yvette, France, (4)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-sur-Yvette, France, (5)LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France, (6)University College London, Department of Geography, London, United Kingdom
 
Light limitation regulates the response of autumn terrestrial carbon uptake to warming (490757)
Yao Zhang, Columbia University of New York, Department of Earth and Environmental Engineering, New York, NY, United States, Roisin Commane, Columbia University, Lamont-Doherty Earth Observatory, Palisades, NY, United States, Sha Zhou, Columbia University, Department of Earth and Environmental Engineering, New York, United States, A. Park Williams, Lamont -Doherty Earth Observatory, Palisades, NY, United States and Pierre Gentine, Department of Earth and Environmental Engineering, Columbia University, New York, NY, United States
 
Retrieval of leaf and branch architecture attributes of broad-leaved trees from terrestrial laser scan data (498024)
Yumei Li, Qinghua Guo, Yanjun Su and Tianyu Hu, Institute of Botany, Chinese Academy of Sciences, Beijing, China
 
Seasonal variability in leaf reflectance, the photochemical reflectance index, and their response to light stress in a mixed temperate deciduous forest in Ontario, Canada (499230)
Cheryl Rogers1, Jing Chen1, Holly Croft2, Yihong Liu1, Ralf M Staebler3 and Paul A Bartlett4, (1)University of Toronto, Geography and Planning, Toronto, ON, Canada, (2)University of Sheffield, Sheffield, United Kingdom, (3)Environment and Climate Change Canada, Air Quality Research Division, Toronto, ON, Canada, (4)Environment and Climate Change Canada, Climate Research Division, Toronto, ON, Canada
 
Patterns and drivers of total canopy nitrogen (g/m2) in a southeastern US mixed temperate forest: a three-dimensional remote sensing approach to ecosystem function. (501995)
Aaron Kamoske1, Kyla Dahlin1, Shawn Serbin2 and Scott C Stark3, (1)Michigan State University, Geography, Environment, and Spatial Sciences, East Lansing, MI, United States, (2)Brookhaven National Laboratory, Environmental and Climate Sciences Department, Upton, NY, United States, (3)Michigan State University, Forestry, East Lansing, MI, United States
 
Towards an operational framework to map crop functional and structural traits from airborne hyperspectral imagery (512991)
Sheng Wang, University of Illinois at Urbana-Champaign, Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, IL, United States, Kaiyu Guan, University of Illinois at Urbana Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, IL, United States, Zhihui Wang, University of Wisconsin-Madison, Department of Forest and Wildlife Ecology, Madison, WI, United States, Elizabeth A. Ainsworth, University of Illinois at Urbana-Champaign, Department of Plant Biology and Carl. R. Woese Institute for Genomic Biology, Urbana, IL, United States, Philip A Townsend, University of Wisconsin, Department of Forest and Wildlife Ecology, Madison, WI, United States and Kaiyuan Li, University of Illinois at Urbana-Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States
 
Improving maximum carboxylation rate estimation with chlorophyll content as a proxy of RuBisCo (521840)
Xuehe Lu1, Weimin Ju1, Jing Li1, Holly Croft2,3, Jingming Chen3 and Yiqi Luo4, (1)Nanjing University, Nanjing, China, (2)University of Sheffield, Sheffield, United Kingdom, (3)University of Toronto, Toronto, Canada, (4)Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, United States
 
Global Mapping of Leaf Photosynthetic Capacity Using Remote Sensing Methods (527529)
Jing Ming Chen, University of Toronto, Department of Geography and Planning, Toronto, ON, Canada, Liming He, Laboratory of Environmental Model and Data Optima, Laurel, MD, United States, Rong Wang, University of Toronto, Toronto, ON, Canada, Han Wang, Tsinghua University, Department of Earth System Science, Beijing, China and Iain Colin Prentice, Imperial College London, London, United Kingdom
 
Improving Light Use Efficiency Model by Adjusting the Stress Factors and Mapping the Global Vegetation Optimum Temperature and Maximum Light Use Efficiency (541334)
Yongzhe Chen, Xiaoming Feng and Bojie Fu, State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
 
Is Near Infrared Radiation Reflected from Vegetation a Better Proxy for Ecosystem Photosynthesis than solar-induced fluorescence?; A Comprehensive Test Across a Meso-scale Flux Network that Varies in Photosynthetic Capacity, Structure and Function. (554953)
Dennis D Baldocchi1, Youngryel Ryu2, Benjamin Dechant3, Siyan Ma4, Joe Verfaillie5, Alex C Valach1, Kyle S Hemes1 and Daphne J. Szutu6, (1)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (2)Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea, (3)Seoul National University, Seoul, South Korea, (4)US Berkeley, Berkeley, CA, United States, (5)University of California Berkeley, Berkeley, CA, United States, (6)University of Arizona, Tucson, AZ, United States
 
Assessing Interannual Variability of Satellite-derived LSP Metrics in Sub-humid and Semi-arid Dryland Sites (564647)
Anna Kato and Kimberly M. Carlson, University of Hawaii at Manoa, Honolulu, HI, United States
 
Seasonal Pigment Changes Allow Detection of Activity and Dormancy of Evergreen Photosynthesis in Cold-Climate Conifer Forests (587497)
David R Bowling, University of Utah, School of Biological Sciences, Salt Lake City, UT, United States, Troy Sehlin Magney, University of California, Davis, Department of Plant Science, Davis, CA, United States, Bijan Seyednasrollah, Northern Arizona University, School of Informatics, Computing and Cyber Systems, Flagstaff, AZ, United States, Rui Cheng, Cal Tech, Pasedena, CA, United States, Christian Frankenberg, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Barry A Logan, Bowdoin College, Brunswick, ME, United States, Julia Yang, University of Arizona, Tucson, United States, Muhammad Altaf Arain, McMaster University, Hamilton, ON, Canada, Sean P Burns, University of Colorado and National Center for Atmospheric Research, Boulder, CO, United States, Peter Blanken, University of Colorado, Boulder, Boulder, CO, United States, Rachhpal Jassal, University of British Columbia, Biometeorology and Soil Physics Group, Vancouver, BC, Canada, Thomas A Black, University of British Columbia, Soil Science, Vancouver, BC, Canada, David Y Hollinger, University of New Hampshire Main Campus, Durham, NH, United States and Andrew D Richardson, Harvard University, Cambridge, MA, United States
 
Estimating Carbon Dioxide Exchange in Nordic Peatlands Using High-Resolution Remote Sensing Data (606500)
Sofia Junttila1, Julia Kelly2, Natascha Kljun2 and Lars Eklundh1, (1)Lund University, Department of Physical Geography and Ecosystem Science, Lund, Sweden, (2)Lund University, Centre for Environmental and Climate Research, Lund, Sweden
 
Scaling carbon fluxes from canopy to meadow-scale using remote sensing and field approaches (607881)
Kevin Physioc, Jerry D Davis, Sara A Baguskas, Leonhard Blesius, Anna Studwell and Raymond LeBeau, San Francisco State University, Geography & Environment, San Francisco, CA, United States
 
Statistical Estimation of Vegetation Production in the Northern High Latitude Region based on Satellite Image Time Series (629784)
Meicheng Shen, Michigan State University, East Lansing, MI, United States; Ohio State University Main Campus, Columbus, OH, United States and Desheng Liu, The Ohio State University, Department of Geography, Columbus, OH, United States
 
Agile mapping of SIF and xCO2 from the recently-launched OCO-3 mission: Early Results (631570)
Ryan Pavlick1, Annmarie Eldering2, Thomas P Kurosu1, Brenden Fisher3, Ralph R Basilio3, Matthew W Bennett3, Peter Somkuti4, Chris O'Dell4, Thomas Taylor3, Nicholas Parazoo5, Joshua Fisher1, Fernando Romero Galvan6, Robert R Nelson7, Philipp Koehler8, Christian Frankenberg3, Florian M Schwandner9, Amruta Yelamanchili10, Christopher Wells10, Gregory B Osterman3, Matthäus Kiel11 and David Schimel3, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)Cooperative Institute for Research in the Atmosphere, Fort Collins, CO, United States, (5)University of California Los Angeles, JIFRESSE, Los Angeles, CA, United States, (6)JPL/NASA/Caltech, Pasadena, CA, United States, (7)Jet Propulsion Laboratory, Pasadena, United States, (8)California Institute of Technology, Environmental Science and Engineering, Pasadena, CA, United States, (9)Joint Institute for Regional Earth System Science and Engineering, UCLA, Los Angeles, United States, (10)JPL/NASA/Caltech, Pasadena, United States, (11)California Institute of Technology, Pasadena, CA, United States
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