针对金属矿山成矿元素的迁移，铜离子从矿体迁移到土壤，被覆盖植被吸收，造成植被叶片重金属含量升高，胁迫植被叶片发生光谱变化，利用高光谱遥感光谱特征分析方法对受重金属胁迫的柚叶叶片光谱进行特征分析，研究铜离子胁迫条件下的光谱变化情况。高光谱遥感的光谱分辨率，具有高精度地物精细探测能力，对受重金属胁迫条件下的植被光谱特征变化有很高的敏感性。利用光谱特征分析方法中的光谱波形特征、红边位置指数、叶绿素及水吸收特征、植被指数特征4个指标定量分析矿区与背景区柚叶光谱特征，分析铜离子胁迫条件下的光谱变化特征。结果表明，受铜金属元素胁迫后柚叶光谱在波形、红边位置、叶绿素及水吸收、植被指数中较背景区均存在较明显的差异。

According to the migration law of ore-forming elements in metal mines, copper ions migrate from ore body to soil and are absorbed by covered vegetation, resulting in increased heavy metal content in vegetation leaves, which causes spectral changes in vegetation leaves under stress. Hyperspectral remote sensing spectral characteristic analysis method was used to analyze the spectral characteristics of vegetation leaves under heavy metal stress and study the spectral changes under copper ion stress. The spectral resolution of hyperspectral remote sensing has the ability of fine detection of high-precision ground objects, and it is highly sensitive to the change of spectral characteristics of vegetation under heavy metal stress. The spectral characteristics of pomelo leaves in mining area and background area were quantitatively analyzed by using four indexes of spectral waveform characteristics, red edge position index, chlorophyll and water absorption characteristics, and vegetation index characteristics, and the spectral variation characteristics under copper ion stress were analyzed. The results show that there are significant differences in waveforms, red edge position, chlorophyll, water absorption and vegetation index of pomelo leaves under copper stress compared with the background area.