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dc.contributor.authorMale, Erin J.
dc.contributor.authorPickles, William L.
dc.contributor.authorSilver, Eli A.
dc.contributor.authorHoffmann, Gary D.
dc.contributor.authorLewicki, Jennifer
dc.contributor.authorApple, Martha E.
dc.contributor.authorRepasky, Kevin S.
dc.contributor.authorBurton, Elizabeth A.
dc.date.accessioned2019-03-27T19:24:02Z
dc.date.available2019-03-27T19:24:02Z
dc.date.issued2010-03
dc.identifier.citationMale, Erin Jing, William L. Pickles, Eli A. Silver, Gary D. Hoffmann, Jennifer Lewicki, Martha E. Apple, Kevin S. Repasky, and Elizabeth A. Burton. “Using Hyperspectral Plant Signatures for CO2 Leak Detection During the 2008 ZERT CO2 Sequestration Field Experiment in Bozeman, Montana.” Environmental Earth Sciences 60, no. 2 (January 13, 2010): 251–261. doi:10.1007/s12665-009-0372-2.en_US
dc.identifier.issn1866-6299
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/15345
dc.description.abstractHyperspectral plant signatures can be used as a short-term, as well as long-term (100-year timescale) monitoring technique to verify that CO2 sequestration fields have not been compromised. An influx of CO2 gas into the soil can stress vegetation, which causes changes in the visible to near-infrared reflectance spectral signature of the vegetation. For 29 days, beginning on July 9, 2008, pure carbon dioxide gas was released through a 100-m long horizontal injection well, at a flow rate of 300 kg day−1. Spectral signatures were recorded almost daily from an unmown patch of plants over the injection with a “FieldSpec Pro” spectrometer by Analytical Spectral Devices, Inc. Measurements were taken both inside and outside of the CO2 leak zone to normalize observations for other environmental factors affecting the plants. Four to five days after the injection began, stress was observed in the spectral signatures of plants within 1 m of the well. After approximately 10 days, moderate to high amounts of stress were measured out to 2.5 m from the well. This spatial distribution corresponded to areas of high CO2 flux from the injection. Airborne hyperspectral imagery, acquired by Resonon, Inc. of Bozeman, MT using their hyperspectral camera, also showed the same pattern of plant stress. Spectral signatures of the plants were also compared to the CO2 concentrations in the soil, which indicated that the lower limit of soil CO2 needed to stress vegetation is between 4 and 8% by volume.en_US
dc.description.sponsorshipMontana Board of Research and Commercialization Technology (Grant No. 08–44); NASA (Grant No. NNX06AD11G); US Department of Energy EPSCoR program (Grant No. DE-FG02-08ER46527)en_US
dc.language.isoenen_US
dc.rightsCC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleUsing hyperspectral plant signatures for CO2 leak detection during the 2008 ZERT CO2 sequestration field experiment in Bozeman, MTen_US
dc.typeArticleen_US
mus.citation.extentfirstpage251en_US
mus.citation.extentlastpage261en_US
mus.citation.issue2en_US
mus.citation.journaltitleEnvironmental Earth Scienceen_US
mus.citation.volume60en_US
mus.identifier.categoryChemical & Material Sciencesen_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.identifier.doi10.1007/s12665-009-0372-2en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.departmentChemistry & Biochemistry.en_US
mus.relation.departmentCivil Engineering.en_US
mus.relation.departmentElectrical & Computer Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.relation.researchgroupZero Emissions Research and Technology (ZERT).en_US
mus.data.thumbpage9en_US


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CC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.
Except where otherwise noted, this item's license is described as CC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.

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