2013
DOI: 10.1016/j.ijggc.2012.11.034
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Aerial detection of a simulated CO2 leak from a geologic sequestration site using hyperspectral imagery

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Cited by 32 publications
(25 citation statements)
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“…Plant stress was indicated by visible purple leaf discolouration and changes in several indices indicating reduction in both chlorophyll A and B (Lakkaraju et al, 2010). Bellante et al (2013) developed a red edge index from hyperspectral data at ZERT that was significantly lower for CO 2 -stressed vegetation than healthy vegetation. This appeared to show a progressive response to CO 2 injection and subsequent recovery once injection ceased.…”
Section: Introductionmentioning
confidence: 99%
“…Plant stress was indicated by visible purple leaf discolouration and changes in several indices indicating reduction in both chlorophyll A and B (Lakkaraju et al, 2010). Bellante et al (2013) developed a red edge index from hyperspectral data at ZERT that was significantly lower for CO 2 -stressed vegetation than healthy vegetation. This appeared to show a progressive response to CO 2 injection and subsequent recovery once injection ceased.…”
Section: Introductionmentioning
confidence: 99%
“…One approach is to use airborne hyperspectral or multispectral imaging. This has been deployed at controlled release sites [33,34] and has been used with some success at natural CO 2 seeps [35][36][37][38]. Example hyperspectral images for ZERT and Ginninderra are provided in Figure 3.…”
Section: High Risk Zones and Broad-scale Detection At The Surfacementioning
confidence: 99%
“…Spectral methods are most commonly used, as the decline in plant health is accompanied by plant chlorophyll absorbing less radiation in visible wavelengths and reflecting less energy at near infrared wavelengths, creating an identifiable spectral signature (Bellante et al, 2013;Rouse et al, 2010). One such effort used volcanic vents as proxies for a leaking sequestration project, and attempted detection of the location of active vents using multiple spectral sensors (Bateson et al, 2008).…”
Section: Vegetative Stressmentioning
confidence: 99%
“…3, Male et al, 2010). A recent study examined the use of a narrowband airborne sensor to map vegetative responses to artificially increased subsurface CO 2 at this test site, using a Red Edge Index (REI) that highlights spectral differences between unstressed, low, moderate, and highly stressed vegetation at the transition zone from visible red to near infrared wavelengths and showing promise for discriminating CO 2 subsurface leaks (Bellante et al, 2013). A benefit of indirect detection of seepage via remote sensing of plant health is that the limited area out to which a leak has an effect on the vegetation serves to highlight a more discrete location to investigate for the source of the leak (Table 4).…”
Section: Vegetative Stressmentioning
confidence: 99%
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