B22C:
Remote Sensing in Terrestrial Ecosystems: Cross-Scale Approaches to Understanding Structure, Function, and process I

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Session ID#: 31933

Session Description:
Advances in remote sensing technologies offer unprecedented opportunities to understand ecosystem structure and function at spatial and temporal scales never before possible. New sensors, increased data availability, and emerging technologies facilitate novel, cross-disciplinary approaches to advance our understanding of terrestrial systems. Near Earth and Satellite derived data products have allowed researchers to link trends in vegetative traits, such as foliar chemistry and net primary productivity, to key ecosystem processes such as decomposition, nutrient cycling, and biodiversity. Combined approaches, integrating remote sensing data products with in situ and experimental measurements, can help improve the monitoring and management of ecosystem changes over time and increase the accuracy of ecosystem models. How do we use remote sensing data to scale up ground measurements? What are key opportunities to inform understanding of ecosystem dynamics and biogeochemical cycles? We invite submissions from researchers using remote sensing technologies to study ecosystem structure, function, and processes.
Primary Convener:  Martha Farella, Stantec Consulting Ltd, Phoenix, United States
Conveners:  Mallory Barnes, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States and David JP Moore, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
Chairs:  David JP Moore1, Martha Farella2 and Mallory Barnes1, (1)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States(2)Stantec Consulting Ltd, Phoenix, United States
OSPA Liaison:  David JP Moore, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States

Cross-Listed:
  • GC - Global Environmental Change
Index Terms:

0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1622 Earth system modeling [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]

Abstracts Submitted to this Session:

Alvaro Moreno1, Gustau Camps-Valls2, Nuno Carvalhais3, Jens Kattge4, Nathaniel Robinson5, Markus Reichstein4, Brady W Allred5 and Steven W Running5, (1)University of Valencia, Image Processing Laboratory (IPL), Burjassot, Spain, (2)Image Processing Laboratory, Universitat de València, Paterna, Spain, (3)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (4)Max Planck Institute for Biogeochemistry, Jena, Germany, (5)University of Montana, Numerical Terradynamic Simulation Group (NTSG), Missoula, MT, United States
Jakub Nowosad, University of Cincinnati, Department of Geography and GIS, Cincinnati, OH, United States and Tomasz Stepinski, University of Cincinnati, Deparment of Geography and GIS, Cincinnati, OH, United States
Alexey N Shiklomanov1, Dr. Shawn Serbin, BA, MS, PhD2 and Michael Dietze1, (1)Boston University, Boston, MA, United States, (2)Brookhaven National Laboratory, Environmental Science and Technologies Department, Upton, United States
Susan Meerdink, University of Iowa, School of Earth, Environment, and Sustainability, Iowa City, IA, United States, Dar A Roberts, University of California, Santa Barbara, Department of Geography, Santa Barbara, United States and Simon J Hook, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States

See more of: Biogeosciences