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Exploiting thermal and spectral responses of crops for the early detection and discrimination of stress induced by oil pollution and water deficit.

Emengini, E. J. and Blackburn, G. Alan and Theobald, Julian C. (2009) Exploiting thermal and spectral responses of crops for the early detection and discrimination of stress induced by oil pollution and water deficit. Proceedings of the Remote Sensing and Photogrammetry Conference 2009. pp. 448-454.

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Abstract

The early detection of, and discrimination between, the causes of different plant stress symptoms is of paramount importance for enhancing crop yield and productivity. This paper examines the potential of thermal and spectral responses of crops for pre-visual stress detection, and additionally, in the discrimination between stresses induced by oil pollution and water deficit. Maize and bean were treated with oil, a water deficit and a combination of the two. Leaf physiological, thermal and spectral responses were measured prior and after treatment and responses followed through to leaf senescence. While changes in absolute leaf temperature were not significant for oil-induced stress in maize, a thermal index (IG) showed significant responses to water deficit. Indices such as IG, red-edge position (REP) and a normalized difference ratio combining wavebands in the red-edge and near infrared were useful in the early detection of both stresses. However, while the last two indices were not efficient in the early detection of stress in bean, IG and absolute temperature showed strong potential. The results indicate that the shape of the first derivative in the red-edge region could be used to discriminate between crop responses to different causes of stress and this will be explored in future work. We conclude that a combination of thermal and hyper spectral remote sensing can enhance the early detection and discrimination of oil and water deficit as different causes of stress in crops.

Item Type: Article
Journal or Publication Title: Proceedings of the Remote Sensing and Photogrammetry Conference 2009
Uncontrolled Keywords: maize ; bean ; remote sensing ; stress ; oil pollution ; water deficit
Subjects: Q Science > QK Botany
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 33925
Deposited By: Dr Julian C Theobald
Deposited On: 28 Jul 2010 16:56
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 17:30
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/33925

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