B030
Intersections between AmeriFlux and Remote Sensing: Toward an Integrated Understanding of Ecosystems

Session ID#: 161602

Session Description:
AmeriFlux is one of the largest science networks and has been providing carbon, water, and energy flux observations, and meteorological data for 25 years, to inform knowledge of ecosystem function and to complement other field measurements, remote sensing (RS) products, and models. While the information provided by AmeriFlux data is very useful for interpreting the fluxes, the ability of RS to cover larger spatial scales can complement AmeriFlux data, which represent footprints of up to a few kilometers. Furthermore, with theoretical and technical advances in RS from ground-based to satellite-based techniques, RS products are now available for a variety of spectral, spatiotemporal, and observational scales. Therefore, the connection between eddy covariance observations and RS has become closer and more important than ever. This session will highlight research that combines eddy covariance and RS at all levels (from ground to spaceborne) to advance our understanding of ecosystem function (greenhouse gases, water cycling, and energy flows).
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Primary Convener:  Koong Yi, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Conveners:  Sebastien Biraud1, Trevor F Keenan2 and Gilberto Pastorello1, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States(2)University of California, Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States
Student/Early Career Convener:  Koong Yi, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
 
Title: Forests for Forests: Combining vegetation indices and solar-induced chlorophyll fluorescence in random forest models improves gross primary production prediction in the Boreal Forest (1050694)
Zoe Pierrat1, Jacob Bortnik2, Bruce Johnson3, Alan Barr4, Troy Magney5, David R Bowling6, Nicholas Parazoo7, Christian Frankenberg8, Ulrike Seibt9, Katja Grossmann10 and Jochen Stutz9, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)University of California Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States, (3)University of Saskatchewan, Saskatoon, Canada, (4)University of Saskatchewan, School of Environment and Sustainability, Saskatoon, SK, Canada, (5)University of California Davis, Department of Plant Sciences, Davis, CA, United States, (6)University of Utah, School of Biological Sciences, Salt Lake City, UT, United States, (7)Jet Propulsion Laboratory (JPL), Pasadena, CA, United States, (8)NASA Jet Propulsion Laboratory, Pasadena, United States, (9)University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, (10)Heidelberg University, Institute of Environmental Physics, Heidelberg, Germany
 
Upscaling dryland carbon and water fluxes with artificial neural networks of optical, thermal, and microwave remote sensing (1051785)
Matthew P Dannenberg, University of Iowa, Department of Geographical and Sustainability Sciences, Iowa City, United States, Mallory Barnes, Indiana University Bloomington, O'Neill School of Public and Environmental Affairs, Bloomington, IN, United States, William Kolby Smith, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, Miriam Johnston, University of Iowa, Department of Geographical and Sustainability Sciences, Iowa City, IA, United States, Susan Meerdink, University of Iowa, Geographical and Sustainability Sciences, Iowa City, IA, United States, Xian Wang, University of Arizona, School of Natural Resources and the Environment, Tucson, United States, Russell Scott, USDA-Agricultural Research Service, Tucson, United States, Joel Biederman, Southwest Watershed Research Center, USDA-ARS, Tucson, AZ, United States and Gerald N Flerchinger, USDA Agriculture Research Service, Northwest Watershed Research Center, Boise, ID, United States
 
A Duet of Fluxes: Pursuing the Dyadic Advection of Heat and Moisture (1054775)
Tianxin Wang1, Daphne J. Szutu1, Joseph G Verfaillie2, Kaniska Mallick3, Joshua B Fisher4, Ariane Arias Ortiz2 and Dennis D Baldocchi2, (1)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States, (2)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (3)Luxembourg Institute of Science and Technology (LIST), Environmental Research and Innovation (ERIN), Belvaux, Luxembourg, (4)Chapman University, Schmid College of Science and Technology, Orange, United States
 
Using Land Surface Phenology to Characterize Long-term Changes and Interannual Variations in Carbon Fluxes (1057455)
Tristan Green, Boston University, Earth and Environment, Boston, United States, Mark A Friedl, Boston University, Earth and Environment, Boston, MA, United States and Minkyu Moon, Boston University, Boston, MA, United States
 
Integrate Solar-Induced chlorophyll Fluorescence (SIF) and Airborne Hyperspectral Reflectance to Infer Gross Primary Production (GPP) across the NEON Ecoregions (1058737)
Zhenqi Luo1, Jiaming Wen2 and Ying SUN1, (1)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, United States, (2)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, NY, United States
 
Evaporative Cooling Regulates Leaf Temperature and Respiration in Riparian and Upland Mesquite Trees (1092073)
Christopher Linscott Kibler1, Anna T Trugman1, Dar A Roberts1, Russell L Scott2, Kelly K Caylor3, John C Stella4 and Michael Bliss Singer5, (1)University of California Santa Barbara, Department of Geography, Santa Barbara, CA, United States, (2)USDA-ARS, Southwest Watershed Research Center, Tucson, AZ, United States, (3)University of California Santa Barbara, Department of Geography, Bren School of Environmental Science and Management, Earth Research Institute, Santa Barbara, CA, United States, (4)SUNY College of Environmental Science and Forestry, Sustainable Resources Management, Syracuse, NY, United States, (5)Cardiff University, Water Research Institute, Cardiff, United Kingdom
 
The potential of in-situ phenology data to estimate satellite driven gross primary productivity of rice in Arkansas (1093174)
Riasad Bin Mahbub, University of Arkansas, Fayetteville, United States, Michele L. Reba, USDA, Agricultural Research Service, Jonesboro, AR, United States and Benjamin Runkle, University of Arkansas, Biological and Agricultural Engineering, Fayetteville, AR, United States
 
Understanding photosynthesis in an intertidal salt marsh using observations of solar-induced chlorophyll fluorescence and carbon exchange (1109606)
Hannah Mast1, Koong Yi2, Andrew Jablonski3, Sally E. Pusede1 and Xi Yang4, (1)University of Virginia, Environmental Sciences, Charlottesville, VA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States, (3)University of Wisconsin-Madison, Forest and Wildlife Ecology, Madison, United States, (4)University of Virginia, Department of Environmental Sciences, Charlottesville, United States
 
A machine learning-based method to partition CO2 fluxes and understand the relationship between gross primary productivity and solar-induced chlorophyll fluorescence (1118756)
Weiwei Zhan, Columbia University, Department of Earth and Environmental Engineering, New York, United States, Xi Yang, Brown University, Providence, United States, Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea, Benjamin Dechant, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany, Yu Huang, Columbia University, Earth and Environmental Engineering, New York, United States, Yves Goulas, Laboratoire de Météorologie Dynamique Palaiseau, Palaiseau Cedex, France, Minseok Kang, National Center for AgroMeteorology, Seoul, South Korea and Pierre Gentine, Columbia University, Department of Earth and Environmental Engineering, New York, NY, United States
 
What can high-resolution thermal remote sensing reveal about the ecophysiological function of an eastern deciduous forest? (1124124)
Mallory Barnes, Daniel Patrick Beverly and Kimberly A Novick, Indiana University Bloomington, Bloomington, IN, United States
 
From Biology to Physics to Earth-System Science: Making Sense of Optical Signals for Tracking the Seasonality of Photosynthesis in Evergreen Forests (Invited) (1180777)
Troy Magney1, Zoe Pierrat2, David R Bowling3, Jaret Reblin4, Logan Brissette1, Sara Nelson5, Mukund Palat Rao6, Andrew Maguire7, Rui Cheng8, Julia Yang3, Christopher YS Wong9, Nicholas Parazoo10, Jochen Stutz11, Christian Frankenberg12 and Barry A Logan4, (1)University of California Davis, Department of Plant Sciences, Davis, CA, United States, (2)University of California Los Angeles, Los Angeles, CA, United States, (3)University of Utah, School of Biological Sciences, Salt Lake City, UT, United States, (4)Bowdoin College, Brunswick, ME, United States, (5)Bowdoin College, Brunswick, United States, (6)University Corporation for Atmospheric Research, Boulder, CO, United States, (7)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (8)Cal Tech, Pasedena, CA, United States, (9)University of Toronto, Toronto, ON, Canada, (10)Jet Propulsion Laboratory (JPL), Pasadena, CA, United States, (11)University of California Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, (12)NASA Jet Propulsion Laboratory, Pasadena, United States
 
A footprint-informed approach for deriving flux response functions at AmeriFlux sites (1181206)
Housen Chu1, Patty Oikawa2, Thomas Fenster3, Camilo Rey-Sanchez4, Iryna Dronova5, Alex C Valach6, Dennis D Baldocchi7, Joe Verfaillie8, Stephen Chan1, Sigrid Dengel1, Sebastien Biraud1 and Margaret S Torn9, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)California State University East Bay, Earth and Environmental Sciences, Hayward, CA, United States, (3)University of California, Davis, Davis, United States, (4)North Carolina State University Raleigh, Raleigh, NC, United States, (5)University of California Berkeley, Depts. of Environmental Science, Policy & Management and Landscape Architecture and Environmental Planning, Berkeley, CA, United States, (6)Berner Fachhochschule BFH, Berne, Switzerland, (7)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (8)University of California Berkeley, Berkeley, CA, United States, (9)Berkeley Lab/UC Berkeley, Berkeley, CA, United States
 
Hourly carbon fluxes estimation using the GOES Advanced Baseline Imager (ABI) data over the conterminous USA (1196183)
Hirofumi Hashimoto1, Weile Wang2, Taejin Park3, Andrew Michaelis4, Ramakrishna R Nemani4 and Ian G Brosnan5, (1)California State University Monterey Bay, Seaside, CA, United States, (2)CSUMB & NASA/AMES, Seaside, United States, (3)NASA Ames Research Center/Bay Area Environmental Research Institute, Moffett Field, United States, (4)NASA Ames Research Center, Moffett Field, CA, United States, (5)NASA Ames Research Center, Earth Science Division, Moffett Field, CA, United States
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