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Copyright of Journal of Remote Sensing is the property of Editorial Office of Journal of Remote Sensing & Science Publishing Co. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper presents a study on detecting CO2 leakage spots indirectly through monitoring the responses of plants which grew on the sequestration field by using hyperspectral remote sensing. The experiment was performed from May to September 2008 at the Sutton Bonington Campus of the University of Nottingham (52.8°N，1.2°W)，UK and a perennial rye grass (cv Long Ley) was chosen and planted in the field. Canopy spectra were collected six times during the experimental period and were processed by using continuous wavelet transform (CWT) in six scales，respectively，the sensitive bands were searched for detecting CO2 leaking information. The results showed that the wavelet coefficients (negative) of the grass gradually increased in 680-760 nm with the elevation of CO2 concentration in the soil，however，there was no significant responses in other wavelengths. Moreover，in 720-745 nm，the sum of wavelet energy of the grass decreased while the levels of CO2 leakage stress increased. With CO2 leakage stress lasting，the position of maximum values of sum of wavelet energy would move toward the long bands，however，the maximum values were always located nearby 725 nm. Thus，the sum of wavelet energy in 725 nm was used to identify the grass under CO2 leakage stress，and the results suggested it can completely distinguish the grass under CO2 leakage stress from the control during the whole growth period. Therefore，it is feasible for indirectly detecting CO2 leakage spots through monitoring the responses of plants growth on the sequestration field by using hyperspectral remote sensing. Moreover，the results can provide a theoretical and methodological support for monitoring micro-seepage spots of CO2 in geological sequestration by utilizing airborne or satellite hyperspectral data in the future. [ABSTRACT FROM AUTHOR]