Research Papers

Carnegie Airborne Observatory: in-flight fusion of hyperspectral imaging and waveform light detection and ranging for three-dimensional studies of ecosystems

[+] Author Affiliations
Gregory P. Asner, David E. Knapp, Ty Kennedy-Bowdoin, Matthew O. Jones, Roberta E. Martin

Carnegie Institution

Joseph Boardman

Analytical Imaging and Geophysics

Christopher B. Field

Carnegie Institution

J. Appl. Remote Sens. 1(1), 013536 (September 13, 2007). doi:10.1117/1.2794018
History: Received May 25, 2007; Revised September 6, 2007; Accepted September 9, 2007; September 13, 2007; Online September 13, 2007
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Abstract

Airborne remote sensing could play a more integrative role in regional ecosystem studies if the information derived from airborne observations could be readily converted to physical and chemical quantities representative of ecosystem processes and properties. We have undertaken an effort to specify, deploy, and apply a new system - the Carnegie Airborne Observatory (CAO) - to remotely measure a suite of ecosystem structural and biochemical properties in a way that can rapidly advance regional ecological research for conservation, management and resource policy development. The CAO "Alpha System" provides in-flight fusion of high-fidelity visible/near-infrared imaging spectrometer data with scanning, waveform light detection and ranging (wLiDAR) data, along with an integrated navigation and data processing approach, that results in geo-orthorectified products for vegetation structure, biochemistry, and physiology as well as the underlying topography. Here we present the scientific rationale for developing the system, and provide sample data fusion results demonstrating the potential breakthroughs that hybrid hyperspectral-wLiDAR systems might bring to the scientific community.

© 2007 Society of Photo-Optical Instrumentation Engineers

Citation

Gregory P. Asner ; David E. Knapp ; Ty Kennedy-Bowdoin ; Matthew O. Jones ; Roberta E. Martin, et al.
"Carnegie Airborne Observatory: in-flight fusion of hyperspectral imaging and waveform light detection and ranging for three-dimensional studies of ecosystems", J. Appl. Remote Sens. 1(1), 013536 (September 13, 2007). ; http://dx.doi.org/10.1117/1.2794018


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