以徐州柳新矿区复垦农田土壤-小麦为研究对象，采用传统采样检测方法分析土壤-小麦中重金属镉含量，借助ASD FieldSpec 3型便携式高光谱仪测量样品反射光谱，对光谱进行加权移动平滑、一阶微分变换、包络线去除以及倒数的对数变换，据此选择具有显著相关的土壤和小麦镉污染胁迫敏感波段作为相关因子，建立基于支持向量机的矿区复垦农田土壤-小麦镉含量高光谱估测模型.结果表明: 以粉煤灰和煤矸石作为充填物料的复垦场地镉含量在土壤环境质量三级标准值之下，但是其上种植的小麦镉含量均超标，受到严重的镉胁迫；建立的模型能够较理想地进行土壤-小麦镉含量估测，土壤的估测模型相关系数为0.947，小麦的估测模型相关系数为0.782.该研究为监测复垦农田土壤及作物重金属污染提供新方法，为保障矿区粮食安全提供技术手段.

Data for the spectral reflectance of soil and wheat were collected using an ASD field spectrometer in the laboratory, and the soil samples and wheat samples were collected for chemical analysis of Cadmium concentrations. A normalization spectral pre-processing method such as the weighted smoothing, first derivative, continuum removal and logarithm of reciprocal transform spectrometer were employed. On this basis, choosing the sensitive wave band which has significant correlations with Cadmium pollution in soil and wheat as the correlation factors, and establishing the cadmium pollution content in soil-wheat system prediction model. The result shows that both of the content of Cd in reclaimed soils tested on the sites by filling mining coal gangue and fly ash are qualified for the third level criterion of Environmental quality standards for soils, but neither of the wheat planted on it does. The correlation coefficient of prediction model of soil is 0.974, and the correlation coefficient of prediction model of wheat is 0.782, which prove that the model can be ideal for estimate the cadmium content of the soil and wheat in mine reclamation farmland. The study can provide new method for monitoring heavy metals pollution level of soil and crop timely, dynamically, widely and speedy by using hyperspectral data, and providing constructive idea for guarantee of food security.