B52B:
Integrating In Situ and Remote Sensing Observations of the Terrestrial Biosphere to Provide Insights into Earth System Function II


Session ID#: 10264

Session Description:
In this session we call for contributions of current advances in terrestrial ecology and carbon cycle science that integrate in-situ and remote sensing observations of the terrestrial biosphere, and models of ecosystems, in ways that provide regional and global insights into earth system functions.  We seek synthetic, interdisciplinary contributions that use orbital and/or suborbital remote sensing systems to address pressing questions in terrestrial ecology, biosphere-atmosphere interactions, land use and land cover change, and carbon cycle science. Much of this work will have been made possible by past and present field campaigns that have catalyzed major scientific advances, such as FIFE, BOREAS, LBA-Ecology, the North American Carbon Program, and the Arctic-Boreal Vulnerability Experiment.
Primary Convener:  Peter C Griffith, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Convener:  Michael Maier Keller, Usda Forest Service C/o Gisel, Campinas, Brazil
Chairs:  Peter C Griffith, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Michael Maier Keller, US Forest Service San Juan, International Institute of Tropical Forestry, San Juan, PR, United States
OSPA Liaison:  Peter C Griffith, NASA Goddard Space Flight Center, Greenbelt, MD, United States

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

0428 Carbon cycling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Berrien Moore III, University of Oklahoma Norman Campus, Norman, OK, United States
Manish Verma1, David Schimel2, Christian Frankenberg3, Darren Drewry1, Annmarie Eldering1, Michael R Gunson4, Bradley John Evans5, Jason Beringer6, Lindsay B Hutley7, Caitlin Moore8 and Ian Marang5, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)California Institute of Technology / NASA Jet Propulsion Laboratory, Pasadena, United States, (4)Jet Propulsion Laboratory, Pasadena, CA, United States, (5)Terrestrial Ecosystem Research Network Ecosystem Modelling and Scaling Infrastructure, Macquarie University 2109 and University of Sydney 2006, NSW, Australia, Sydney, Australia, (6)University of Western Australia, School of Agriculture and Environment, Crawley, Australia, (7)Charles Darwin University, Casuarina, NT, Australia, (8)University of Illinois at Urbana Champaign, Urbana, United States
Anna M Michalak, Carnegie Institution for Science, Department of Global Ecology, Stanford, CA, United States
Douglas C Morton, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States
Rachel L Nifong and Eric A Davidson, University of Maryland Center for Environmental Science Appalachian Laboratory, Frostburg, MD, United States
Robert N Treuhaft1, Fabio G Goncalves2, Maxim Neumann1, Michael Maier Keller3 and João Roberto Santos4, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Canopy Remote Sensing Solutions, Florianopolis, Brazil, (3)US Forest Service San Juan, International Institute of Tropical Forestry, San Juan, PR, United States, (4)INPE National Institute for Space Research, Sao Jose dos Campos, Brazil
Thiago Sanna Freire Silva1, John M Melack2, Rodrigo Souza1, Jefferson Ferreira-Ferreira3, Annia Susin Streher1, Everton Hafemann Fragal4, Luiz FA Furtado5, Angelica Faria de Resende6, Bruno Garcia Luize1, Conrado Rudorff7,8, Helder L Queiroz3, Jochen Schongart9,10 and Evlyn M Novo11, (1)UNESP Sao Paulo State University, Rio Claro, Brazil, (2)University of California Santa Barbara, Earth Research Institute, Santa Barbara, United States, (3)Mamirauá Sustainable Development Institute, Tefé, Brazil, (4)INPE - National Institute for Space Research, Graduate Program in Remote Sensing, Sao Jose dos Campos, Brazil, (5)INPE - National Institute for Space Research, Remote Sensing Division, Sao Jose dos Campos, Brazil, (6)Universidade de São Paulo, Departamento de Ciências Florestais, Piracicaba, Brazil, (7)INPE National Institute for Space Research, São José dos Campos, Brazil, (8)Centro Nacional de Monitoramento e Alertas de Desastres Naturais, Cachoeira Paulista, Brazil, (9)INPA National Institute of Amazonian Research, Manaus, Brazil, (10)National Institute for Amazon Research (INPA), Grupo MAUA, Manaus, Brazil, (11)INPE National Institute for Space Research, Sao Jose dos Campos, Brazil

See more of: Biogeosciences