Organized Oral Session
Hybrid Session
Zoe Pierrat
University of California Los Angeles, United States
Anam Khan
University of Wisconsin-Madison, United States
Troy Magney
University of California Davis, United States
Ecologists now have access to a growing number of data sources to understand connections between scales, enabling new investigations on ecosystem structure and function from the leaf to ecosystem. Eddy covariance towers measure ecosystem carbon, water, and radiation fluxes, permitting investigations on ecosystem function such as photosynthesis, evapotranspiration, resource use efficiencies, and phenology across a wide range of ecosystems. Remote sensing can help bridge the gap across scales by linking measurements of reflectance, fluorescence and emission of radiation to data from eddy covariance towers. Together, remote sensing and eddy covariance towers allow the study of ecological phenomena that are better understood at larger scales such as recovery from large disturbances, resource distribution, ecosystem heterogeneity, and biodiversity. While satellite data enables scaling these processes across time and space, their use is hampered by large spatial scales extending beyond an eddy covariance footprint, and infrequent temporal overpass times (at one time per day). To further investigate the full potential of remote sensing data to scale ecosystem fluxes, the integration of remote sensing data from tower mounted sensors into existing networks of eddy covariance data providers such as FLUXNET will greatly facilitate the synergistic use of these data.
This session explores the intersection of remote sensing and flux data to address ecological questions. The session brings together researchers working with both data sources and discusses the unique information and ecological relevance in these data. The session will present a framework for better integration of remotely sensed data from tower mounted sensors with existing flux data provided by FLUXNET - a global network of eddy covariance towers - along with a discussion of how to access remotely sensed data through FLUXNET.
Presenting Author: Zoe Pierrat – University of California Los Angeles
Co-author: Troy Magney – University of California Davis
Co-author: Loren P. Albert – Oregon State University
Co-author: Xi Yang – University of Virginia
Co-author: Anam Khan – University of Wisconsin-Madison
Presenting Author: Xi Yang – University of Virginia
Presenting Author: Loren P. Albert – Oregon State University
Co-author: Kelvin T. Acebron – Smithsonian Environmental Research Center
Co-author: Alessandro Araújo – EMBRAPA
Co-author: Emmelia J. Braun – Oregon State University
Co-author: Petya K. E. Campbell – University of Maryland baltimore County
Co-author: Matteo Detto – Princeton University; Smithsonian Tropical Research Institute
Co-author: Maquelle Neves N. Garcia – Oregon State University
Co-author: Karl F. Huemmerich – University of Maryland Baltimore County
Co-author: Joanna Joiner – NASA
Co-author: Yoshiko Kosugi – Kyoto University
Co-author: Sean M. McMahon – Smithsonian Institution
Co-author: Natalia Restrepo-Coupe – University of Arizona
Co-author: Scott Saleska – University of Arizona
Co-author: Charles D. Southwick – West Virginia University; Oregon State University
Co-author: Tomo'omi Kumagai – The University of Tokyo
Co-author: Christiaan van der Tol – University of Twente
Co-author: Na Wang – University of Twente
Co-author: Peiqi Yang – University of Twente
Presenting Author: Mallory Barnes, Ph.D. in watershed management and ecohydrology – Indiana University
Co-author: Daniel P. Beverly – Indiana University, Bloomington
Co-author: Kim A. Novick – Indiana University Bloomington
Co-author: Kesondra B. Key – Indiana University
Presenting Author: Sparkle Malone – Yale University
Co-author: Jaclyn H. Matthes – Harvard Forest
Co-author: Stefan Metzger – Battelle
Co-author: Christopher Florian – National Ecological Observatory Network, Battelle
Co-author: Youmi Oh – NOAA Global Monitoring Laboratory
Presenting Author: Gilberto Pastorello – Lawrence Berkeley National Laboratory
Co-author: Gilberto Pastorello – Lawrence Berkeley National Laboratory