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Proceedings Paper

Advances in airborne remote sensing of ecosystem processes and properties: toward high-quality measurement on a global scale
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Paper Abstract

Airborne remote sensing provides the opportunity to quantitatively measure biochemical and biophysical properties of vegetation at regional scales, therefore complementing surface and satellite measurements. Next-generation programs are poised to advance ecological research and monitoring in the United States, the tropical regions of the globe, and to support future satellite missions. The Carnegie Institution will integrate a next generation imaging spectrometer with a waveform LiDAR into the Airborne Taxonomic Mapping System (AToMS) to identify the chemical, structural and taxonomic makeup of tropical forests at an unprecedented scale and detail. The NEON Airborne Observation Platform (AOP) is under development with similar technologies with a goal to provide long-term measurements of ecosystems across North America. The NASA Next Generation Airborne Visible/Infrared Imaging Spectrometer (AVIRISng) is also under development to address the science measurement requirements for both the NASA Earth Science Research and Analysis Program and the spaceborne NASA HyspIRI Mission. Carnegie AToMS, NEON AOP, and AVIRISng are being built by the Jet Propulsion Laboratory as a suite of instruments. We discuss the synergy between these programs and anticipated benefits to ecologists and decision-makers.

Paper Details

Date Published: 12 August 2010
PDF: 13 pages
Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 78090J (12 August 2010); doi: 10.1117/12.859455
Show Author Affiliations
Thomas U. Kampe, The National Ecological Observatory Network, Inc. (United States)
Gregory P. Asner, Carnegie Institution (United States)
Robert O. Green, Jet Propulsion Lab. (United States)
Michael Eastwood, Jet Propulsion Lab. (United States)
Brian R. Johnson, The National Ecological Observatory Network, Inc., (United States)
Michele Kuester, The National Ecological Observatory Network, Inc., (United States)

Published in SPIE Proceedings Vol. 7809:
Remote Sensing and Modeling of Ecosystems for Sustainability VII
Wei Gao; Thomas J. Jackson; Jinnian Wang, Editor(s)

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