Monitoring effects of a controlled subsurface carbon dioxide release on vegetation using a hyperspectral imager

Keith, Charlie J.; Repasky, Kevin S.; Lawrence, Rick L.; Jay, Steven C.; Carlsten, J. L.

doi:10.1016/j.ijggc.2009.03.003

Cited by 51 publications

(36 citation statements)

References 22 publications

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“…The greater tolerance of orchard grass to CO 2 seen at ZERT is paralleled in studies at other injection and natural sites. Changes in reflectance spectra were observed within 1 m perpendicular from the 100 m long CO 2 release pipe in alfalfa (Keith et al, 2009). A wider area of plant stress of up to 2.5 m from the injection well was observed after 10 days of injection of 300 kg d -1 (~100 L min -1 spread over 6 packered zones) of CO 2 in the following year and comparison with soil CO 2 measurements suggested a lower limit for plant stress of 4-8% at 30 cm depth .…”

Section: Introductionmentioning

confidence: 94%

Developments since 2005 in understanding potential environmental impacts of CO2 leakage from geological storage

Jones

Beaubien

Blackford

et al. 2015

International Journal of Greenhouse Gas Control

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This paper reviews research into the potential environmental impacts of leakage from geological storage of CO 2 since the publication of the IPCC Special Report on Carbon Dioxide Capture and Storage in 2005. Possible impacts are considered on onshore (including drinking water aquifers) and offshore ecosystems. The review does not consider direct impacts on man or other land animals from elevated atmospheric CO 2 levels. Improvements in our understanding of the potential impacts have come directly from CO 2 storage research but have also benefitted from studies of ocean acidification and other impacts on aquifers and onshore near surface ecosystems. Research has included observations at natural CO 2 sites, laboratory and field experiments and modelling. Studies to date suggest that the impacts from many lower level fault-or well-related leakage scenarios are likely to be limited spatially and temporarily and recovery may be rapid. The effects are often ameliorated by mixing and dispersion of the leakage and by buffering and other reactions; potentially harmful elements have rarely breached drinking water guidelines. Larger releases, with potentially higher impact, would be possible from open wells or major pipeline leaks but these are of lower probability and should be easier and quicker to detect and remediate.

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Section: Introductionmentioning

confidence: 94%

Developments since 2005 in understanding potential environmental impacts of CO2 leakage from geological storage

Jones

Beaubien

Blackford

et al. 2015

International Journal of Greenhouse Gas Control

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show abstract

“…Work has also been undertaken at field sites, where CO 2 has been injected into the shallow soil environments, (e.g. ; Keith et al, 2009;Male et al, 2010;Moni and Rasse, 2014;Patil et al, 2010;Smith et al, 2013;Spangler et al, 2010;West et al, 2009;Zhou et al, 2013) and at carbon dioxide storage sites (e.g. Jones et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Comparison of the impacts of elevated CO 2 soil gas concentrations on selected European terrestrial environments

West

Jones

Annunziatellis

et al. 2015

International Journal of Greenhouse Gas Control

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Selected European studies have illustrated the impacts of elevated CO 2 concentrations in shallow soils on pasture. For the first time, general unified conclusions can be made, providing CO 2 thresholds where effects on plants and soil microbiology are observed and making recommendations on how this information can be used when planning projects for CO 2 storage. The sites include those where CO 2 is being naturally released to the atmosphere from deep geological formations; and a non-adapted site, with no previous history of CO 2 seepage, where CO 2 has been injected into the unsaturated soil horizon. Whilst soil gas concentrations will be influenced by flux rates and other factors, the results suggest that a concentration of between 10-15% CO 2 soil gas at 20 cm depth, which is within the root zone, is an important threshold level for observing changes in plant coverage. Site-specific plant 'indicators' are also observed for CO 2 concentrations at ≥35%. Microbiological changes are seen where CO 2 soil gas concentrations are between 15-40%. As part of site characterisation, an evaluation of the risks of leakage and their potential environmental impacts should be undertaken.

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“…27e). Examining the effect of surface pollution (Keith et al, 2009;Spangler et al, 2010) from leaking pipelines on vegetation (Fig. 27f).…”

Section: Hyper-spectral Imaging and Machine Learning For Real Time Emmentioning

confidence: 99%

Machine Learning Applications for Earth Observation

Lary

Zewdie

Liu

et al. 2018

Earth Observation Open Science and Innovation

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Machine learning has found many applications in remote sensing. These applications range from retrieval algorithms to bias correction, from code acceleration to detection of disease in crops, from classification of pelagic habitats to rock type classification. As a broad subfield of artificial intelligence, machine learning is concerned with algorithms and techniques that allow computers to "learn" by example. The major focus of machine learning is to extract information from data automatically by computational and statistical methods. Over the last decade there has been considerable progress in developing a machine learning methodology for a variety of Earth Science applications involving trace gases, retrievals, aerosol products, land surface products, vegetation indices, and most recently, ocean applications. In this chapter, we will review some examples of how machine learning has already been useful for remote sensing and some likely future applications.

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Monitoring effects of a controlled subsurface carbon dioxide release on vegetation using a hyperspectral imager

Cited by 51 publications

References 22 publications

Developments since 2005 in understanding potential environmental impacts of CO2 leakage from geological storage

Developments since 2005 in understanding potential environmental impacts of CO2 leakage from geological storage

Comparison of the impacts of elevated CO 2 soil gas concentrations on selected European terrestrial environments

Machine Learning Applications for Earth Observation

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