Toggle Main Menu Toggle Search

Open Access padlockePrints

Minimising background effects in field spectra of arable crops to detect stress associated with soil disturbance

Lookup NU author(s): Dr Meredith Williams, Professor Stuart Barr


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Field spectroscopy data of a range of arable crop types were acquired at selected transects perpendicular to a 9 km stretch of buried gas pipeline in Aberdeenshire. Spectral absorption and reflectance features are examined for differences between locations of soil disturbance associated with the pipeline and locations away from the pipeline. A suite of methods: continuum removal, band ratios and derivative analysis, often employed in vegetation remote sensing studies to minimise background effects (such as soil, shadow and atmospheric moisture), are evaluated. The objective being to determine the most effective method(s) of minimising background effects in the data whilst enabling the detection of subtle vegetation stress features associated with pipeline soil disturbance. Results suggest that band ratios and continuum removal of the chlorophyll absorption feature were the most effective methods of both minimising background effects and detecting above pipeline vegetation stress. Most notably Smith et al.’s (2004) 725:702 nm ratio performed consistently well for all sites investigated, exhibiting differences in the ratio in close proximity and further away from the pipeline of up to 63 %. Derivative analysis identified red-edge reflectance peaks associated with above pipeline stress at 725, 700 and 718 nm. Continuum removal of the chlorophyll absorption feature also provided consistent results, increasing in depth with distance from the pipeline. Differences in the depth of the chlorophyll absorption feature were particularly marked a sites with visible evidence of waterlogging.

Publication metadata

Author(s): White DC, Williams M, Barr SL

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Annual Conference of the Remote Sensing and Photogrammetry Society

Year of Conference: 2006