The effects of high soil CO2 concentrations on leaf reflectance of maize plants

Carbon dioxide gas at higher concentrations is known to kill vegetation and can also lead to asphyxiation in humans and animals. The objective of this study is to test whether soil CO 2 concentrations ranging from 2% to 50% can be detected using vegetative spectral reflectance. A greenhouse experime...

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Veröffentlicht in:International journal of remote sensing Jg. 30; H. 2; S. 481 - 497
Hauptverfasser: Noomen, M. F., Skidmore, A. K.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 01.01.2009
Schlagworte:
Animal, plant and microbial ecology
Applied geophysics
area index
Biological and medical sciences
carbon-dioxide
chlorophyll concentration
Earth sciences
Earth, ocean, space
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Internal geophysics
leaves
model simulation
nitrogen concentration
red edge position
root respiration
spectral reflectance
Teledetection and vegetation maps
wheat genotypes
Zea mays
carbon dioxide
Monocotyledones
detection
Zea mays
Prediction
chlorophyll
Corn
remote sensing
vegetation
concentration
Plant leaf
Index
Soil pollution
Spectral data
Health status
correlation
Gramineae
Angiospermae
Spermatophyta
soils
Greenhouse study
methodology
Reflectance
ISSN:0143-1161, 1366-5901
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Zusammenfassung:Carbon dioxide gas at higher concentrations is known to kill vegetation and can also lead to asphyxiation in humans and animals. The objective of this study is to test whether soil CO 2 concentrations ranging from 2% to 50% can be detected using vegetative spectral reflectance. A greenhouse experiment was performed to measure the reflectance of maize plants growing in soil contaminated with high concentrations of CO 2 . The correlation between leaf chlorophyll and reflectance in both the red edge and the yellow region was studied using different methods. The method that resulted in the strongest correlation between leaf reflectance and chlorophyll was subsequently used to study the effects of CO 2 on plant health. The results showed that the method developed by Cho and Skidmore ( 2006 ) was the most accurate in predicting leaf chlorophyll (R 2 of 0.72). This index in combination with a new index proposed in this study-named the yellow edge position or YEP-showed that an increase in CO 2 concentration corresponds to a decrease in leaf chlorophyll. Two first derivative water absorption features at 1400 and 1900 nm indicate that a concentration of 50% CO 2 decreased leaf water content. Although upscaling to canopy reflectance is necessary, this experiment shows that leaf reflectance can be used to detect high soil CO 2 concentrations, particularly halfway through the growing season.
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ISSN:0143-1161
1366-5901
DOI:10.1080/01431160802339431