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Proceedings Paper

Long-wave infrared imaging of vegetation for detecting leaking CO[sub]2[/sub] gas
Author(s): Jennifer E. Johnson; Joseph A. Shaw; Rick L. Lawrence; Paul W. Nugent; Laura M. Dobeck; Lee H. Spangler
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Paper Abstract

The commercial development of microbolometer uncooled long-wave thermal infrared imagers in conjuncture with advanced radiometric calibration methods developed at Montana State University has led to new uses of thermal imagery in remote sensing applications. A novel use of these calibrated imagers is imaging of vegetation for CO2 gas leak detection. During a four-week period in the summer of 2011, a CO2 leak was simulated in a test field run by the Zero Emissions Research and Technology Center in Bozeman, Montana. Thermal infrared images were acquired, along with visible and near-infrared reflectance images, of the exposed vegetation and healthy control vegetation. The increased root-level CO2 concentration causes plant stress that results in reduced thermal regulation of the vegetation, which is detectable as an increased diurnal variation of infrared emission. . In a linear regression, the infrared data were found to have a strong coefficient of determination and clearly show the effect of the CO2 on the vegetation.

Paper Details

Date Published: 24 October 2012
PDF: 8 pages
Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 851308 (24 October 2012); doi: 10.1117/12.932237
Show Author Affiliations
Jennifer E. Johnson, Montana State Univ. (United States)
Joseph A. Shaw, Montana State Univ. (United States)
Rick L. Lawrence, Montana State Univ. (United States)
Paul W. Nugent, Montana State Univ. (United States)
Laura M. Dobeck, Montana State Univ. (United States)
Lee H. Spangler, Montana State Univ. (United States)


Published in SPIE Proceedings Vol. 8513:
Remote Sensing and Modeling of Ecosystems for Sustainability IX
Wei Gao; Thomas J. Jackson, Editor(s)

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