TY - JOUR
T1 - Carnegie Airborne Observatory
T2 - In-flight fusion of hyperspectral imaging and waveform light detection and ranging (wLiDAR) for three-dimensional studies of ecosystems
AU - Asner, Gregory P.
AU - Knapp, David E.
AU - Kennedy-Bowdoin, Ty
AU - Jones, Matthew O.
AU - Martin, Roberta E.
AU - Boardman, Joseph
AU - Field, Christopher B.
N1 - Funding Information:
The Carnegie Airborne Observatory is made possible by the generous support of the W.M. Keck Foundation and William Hearst III. We thank Susan Ustin for her sustained advice, scientific support and editorial comments, as well as three anonymous reviewers for their helpful suggestions. We also thank our engineering partners ITRES Research Ltd., Optech Inc., Applanix Inc., Analytical Imaging and Geophysics LLC, and ImSpec LLC.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - Airborne remote sensing
KW - Data fusion, imaging spectroscopy
KW - LiDAR
KW - Spectrometer
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U2 - 10.1117/1.2794018
DO - 10.1117/1.2794018
M3 - Article
AN - SCOPUS:45249096660
SN - 1931-3195
VL - 1
JO - Journal of Applied Remote Sensing
JF - Journal of Applied Remote Sensing
IS - 1
M1 - 013536
ER -