With the high requirements and long test cycle of traditional testing method of soil heavy metal, this paper tries to establish the quantitative prediction model between soil hyperspectral and soil chromium content(tested by ICP-MS) to realize the prediction of soil chromium element quickly and accurately. The paper studied the hyperspectral response characteristics of red soil, with 135 soil samples in Fuzhou city. After monitoring the hypersectral reflection of soil samples with ASD (analytical spectral device) and total chromium contents with ICP-MS, the paper gained the spectral reflection data between 350 and 2 500 nm and soil total chromium contents. Then the paper treated the hyperspectral reflection data with 6 mathematic changes such as reciprocal logarithmic change, differentials and continuum removal in advance. The next step was to calculate the correlation coefficient of soil chromium and the above spectral information, and select the sensitive spectral bands according to the highest correlation coefficient. Finally, six kinds of models were selected to build the soil total chromium content model, and the final optimal mathematic model between soil chromium and hyperspectral information was significantly determined. Results showed that 520～530, 1 440～1 450, 2 010～2 020, and 2 230～2 240 nm were the main sensitive bands to soil total chromium, y=120.768e-7.037x was the optimal soil total chromium predicting model(in the model, the correlation coefficient R and the RMSE of total chromium were 0.568 and 0.619 μg·g-1, and the inspection correlation coefficient R and the RMSE were 0.484 μg·g-1 and 1.426 μg·g-1 respectively). The model can be used to rapidly monitor soil total chromium with hyperspectral reflection in Fuzhou area.