NEON Airborne Observation Platform Workshop

Full Title

People, land, and ecosystems: leveraging NEON for socio-environmental synthesis workshop


Remote sensing observations provide a spatially and temporally consistent framework for characterizing land-use and land-cover change and landscape evolution. These data have been applied across scientific disciplines with immense potential for use in convergent research that can effectively sustain ecosystem functions and services to humanity. However, there is a continual need to advance applications of remote sensing to convergent research. The National Ecological Observatory Network (NEON) Airborne Observation Platform (AOP) is a state-of-the-art sensor suite capable of simultaneously measuring the biogeochemistry and three-dimensional structure of complex vegetated landscapes. With NEON AOP, extremely high-quality hyperspectral and Light Detection and Ranging (LiDAR) data are now freely available to all users.  

To enable convergent research that can effectively use AOP data, we need a rapid increase in the number and types of scientists who are knowledgeable about the capabilities of these data. If diverse groups of scientists were properly informed of relevant applications and trained on methods, new sources of remote sensing data could potentially catalyze convergent research, particularly in the area of land-use and land-cover change science. Therefore, we will initiate a foundational program, beginning with three-day workshop, called "People, Land, and Ecosystems: Leveraging NEON for Socio-Environmental Synthesis Workshop" at SESYNC to build capacity and catalyze the development of interdisciplinary teams of scientists who are addressing social and ecological science with remote sensing. At the workshop, participants will explore datasets relevant to their research questions and topics, learn more about the data collection process, gain exposure to data analysis techniques and challenges, and, importantly, discuss key areas for prioritization of NEON AOP resources. This workshop will build capacity in the area of remote sensing applications to socio-environmental synthesis with a particular focus on emerging technologies represented by NEON AOP data.  

Project Type
Team Synthesis Project
Jeffrey Atkins, Virginia Commonwealth University
Megan Cattau, Boise State University
Dana Chadwick, Stanford University
Melissa Susan Chapman, University of California, Berkeley
Kelly Cobourn, Virginia Polytechnic Institute and State University
Tristan Goulden, NEON
Matthew Richard Helmus, Temple University
Jennifer Jensen, Texas State University
Jason Julian, Texas State University
Sonja Kolstoe, Salisbury University
Yusuke Kuwayama, Resources for the Future
Vijay Lulla, Indiana University - Purdue University Indianapolis
Donald Nelson, University of Georgia
Donal O'Leary, NEON
Jonathan Ocon, University of California, Los Angeles
Elsa Ordway, Harvard University
Stephanie Pau, Florida State University
Guillermo Ponce-Campos, The University of Arizona
Carlos Portillo, Texas Tech University
Narcisa Pricope
John E. Quinn, Furman University
Rosanna Guadalupe Rivero Morales, University of Georgia
Laura Schneider, Rutgers University
Meredith Steele, Virginia Polytechnic Institute and State University
Rachel Swanwick, SESYNC
Mirela Tulbure, North Carolina State University
Matt Williamson, Boise State University
Cyril Wilson, University of Wisconsin - Eau Claire

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