Detection and attribution of drought and oil-induced plant stress using hyperspectral remote sensing

Abstract

This study investigates the potential use of hyperspectral remote sensing in detecting stress in vegetation caused by both drought stress and hydrocarbon contamination of the soil. Spectral and plant biochemical measurements were taken from an in-situ field experiment and a glasshouse experiment at the James Hutton Institute, Invergowrie, U.K. The in-situ field experiment was part of an ongoing root restriction study of 10 barley genotypes, whilst the glasshouse experiment consisted of both drought and oil contamination of plants grown in pots. Two main biophysical parameters (chlorophyll and plant leaf water content) were calculated and spectral response measured with a spectroradiometer. Statistical analysis showed variation in spectral response between genotypes that were responding differently to treatments. The 1st derivative of reflectance at wavelength 705 nm, the ratio of the wavelength of the maximum 1st derivative reflectance at the green region (GEP) and the wavelength of maximum 1st derivative reflectance (REP) all showed a strong correlation with chlorophyll concentration. The ratio between normalized difference vegetation index NDVI (800,680) and the index GEP/REP was used to discriminate between ... (continues)

Plant phenotyping relevance

植物の乾燥・油汚染ストレスを対象に、ハイパースペクトル計測とスペクトル指標からクロロフィルおよび葉水分量を推定・識別する方法が中心であり、単なる生物学的実験の測定ではない。

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