An accurate spatial co-registration method for multi-angle multi-source remote sensing data based on self-defined projection grids is proposed. Taking the accurate spatial co-registration between the multi-angle imaging spectroradiometer (MISR) L2 products and moderate-resolution imaging spectroradiometer (MODIS) L3 products carried on American earth observation satellite (EOS) as an example, the data processing abilities of ENVI, HEG, MRT softwares and the proposed method when the reprojection is performed on two kinds of products are compared and analyzed. In order to verify the proposed method, the advanced along track scanning radiometer (AATSR) data from the environmental satellite ENVISAT of European Space Agency are co-registered with the MISR and MODIS data. The proposed method solves the problem that MISR L2 product data cannot be directly and accurately registered with other remote sensing data by using common remote sensing data processing softwares, which only resamples once and can avoid the possible information loss caused by repeated resamples. The basic ideas and objectives of the proposed method are also applicable to the spatial accurate co-registration of other similar multi-angle remote sensing data.