Assessing Metal-Induced Changes in the Visible and Near-Infrared Spectral Reflectance of Leaves: A Pot Study with Sunflower (Helianthus annuus L.)

被引:12
作者
Rathod, Paresh H. [1 ,4 ]
Brackhage, Carsten [2 ]
Mueller, Ingo [3 ]
Van der Meer, Freek D. [1 ]
Noomen, Marleen F. [1 ]
机构
[1] Univ Twente, Fac Geoinformat Sci & Earth Observat, Dept Earth Syst Anal, NL-7514 AE Enschede, Netherlands
[2] Tech Univ Dresden, Tech Univ, Inst Gen Ecol & Environm Protect, D-01737 Tharandt, Germany
[3] Saxon State Off Environm Agr & Geol, D-09599 Freiberg, Germany
[4] Anand Agr Univ, Anand, Gujarat, India
关键词
Metal-contaminated soils; Sunflower; Spectral reflectance; Phytoremediation; Visible and near-infrared spectroscopy; GENTLE REMEDIATION; PHYTOREMEDIATION; SPECTROSCOPY; PLANT; PHYTOEXTRACTION; ACCUMULATION; ZINC;
D O I
10.1007/s12524-018-0846-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The aim of this study was to monitor changes in leaf spectral reflectance due to phytoaccumulation of trace elements (Cd, Pb, and As) in sunflower mutant (M5 mutant line 38/R4-R6/15-35-190-04-M5) grown in spiked and in situ metal-contaminated potted soils. Reflectance spectra (350-2500nm) of leaves were collected using portable ASD spectroradiometer, and respective leaves sample were analyzed for total metal contents. The spectral changes were quite noticeable and showed increased visible and decreased NIR reflectance for sunflower grown in soil spiked with 900mgAskg(-1), and in in situ metal-contaminated soils. These changes also involved a blue-shift feature of red-edge position in the first derivatives spectra, studied vegetation indices and continuum removed absorption features at 495, 680, 970, 1165, 1435, 1780, and 1925nm wavelength. Correlograms of leaf-metal concentration and reflectance values show highest degrees of overall correlation for visible, near-infrared, and water-sensitive wavelengths. Partial least square and multiple linear regression statistical models (cross-validated), respectively, based on Savitzky-Golay filter first-order derivative spectra and combination of spectral feature such as vegetation indices and band depths yielded good prediction of leaf-metal concentrations.
引用
收藏
页码:1925 / 1937
页数:13
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