The invention relates to the field of remote-sensing data fusion and intelligent application, namely a multi-source sensor remote-sensing fusion is used for realizing fine extraction of the land vegetation coverage, more specifically, the invention relates to a vegetation classification and identification method of hyperspectral image and laser radar point cloud fusion. For the difficulties in theland vegetation coverage classification and identification, a combined classification method for fusing the hyperspectral image and the laser radar point cloud data features is adopted, and the optimal selection and combination are performed on the space-spectrum feature influencing the classification precision, thereby improving the vegetation coverage classification and identification precision, and increasing the fineness of the vegetation coverage drafting.