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Spectral characteristics of copper-stressed vegetation leaves and further understanding of the copper stress vegetation index

Zhang, Chengye, Ren, Huazhong, Dai, Xiujuan, Qin, Qiming, Li, Jun, Zhang, Tianyuan, Sun, Yuanheng
International journal of remote sensing 2019 v.40 no.12 pp. 4473-4488
absorption, chlorophyll, copper, leaves, nutrient uptake, reflectance, remote sensing, spectral analysis, vegetation index, vegetation types, wavelengths
This study analysed the changing pattern of the spectral features of copper-stressed leaves for several vegetation types, and explored the mechanism of the Copper Stress Vegetation Index (CSVI). First, the change of seven key spectral features (Green Peak, Red Valley, Red Shoulder, NIR (Near Infrared) Reflectance Platform, Blue-Edge, Yellow-Edge, and Red-Edge) with copper stress level from low to high, were presented and analysed. Second, the chlorophyll contents in leaves were investigated to explain the spectral characteristics at the visible band. Third, the leaf structure and absorption related to copper were analysed to explore the reason of changing pattern at NIR band. The results showed that there are significant changing trends at Blue-Edge, Green Peak, and Red-Edge while the changing pattern at NIR band depends on the vegetation type. The analysis on chlorophyll content, leaf structure, and absorption related to copper, gave an overall mechanism explanation for the spectral characteristics of copper-stressed vegetation and the wavelengths used in CSVI. The results and conclusions in this paper, contribute new knowledge of copper-stressed vegetation reflectance and the CSVI, and provide mechanism basement for the remote sensing of copper-stressed vegetation.