Long-wave infrared imaging of vegetation for detecting leaking CO[sub]2[/sub] gas

Jennifer E. Johnson; Joseph A. Shaw; Rick L. Lawrence; Paul W. Nugent; Laura M. Dobeck; Lee H. Spangler

doi:10.1117/12.932237

24 October 2012 Long-wave infrared imaging of vegetation for detecting leaking CO₂ gas

Jennifer E. Johnson, Joseph A. Shaw, Rick L. Lawrence, Paul W. Nugent, Laura M. Dobeck, Lee H. Spangler

Proceedings Volume 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX; 851308 (2012) https://doi.org/10.1117/12.932237
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

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.

Citation Download Citation

Jennifer E. Johnson, Joseph A. Shaw, Rick L. Lawrence, Paul W. Nugent, Laura M. Dobeck, and Lee H. Spangler "Long-wave infrared imaging of vegetation for detecting leaking CO₂ gas", Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 851308 (24 October 2012); https://doi.org/10.1117/12.932237

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