Paper
12 August 2010 Advances in airborne remote sensing of ecosystem processes and properties: toward high-quality measurement on a global scale
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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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas U. Kampe, Gregory P. Asner, Robert O. Green, Michael Eastwood, Brian R. Johnson, and Michele Kuester "Advances in airborne remote sensing of ecosystem processes and properties: toward high-quality measurement on a global scale", Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 78090J (12 August 2010); https://doi.org/10.1117/12.859455
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Cited by 12 scholarly publications.
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KEYWORDS
Spectroscopy

Neon

Ecosystems

Airborne remote sensing

Sensors

Vegetation

Chemical species

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