To meet the potential demand of large scale mapping, a multiview photogrammetry approach was presented for low altitude digital images. A multiview matching was carried out under a restricted condition derived from multiview geometry in computer vision. Multiple image spatial forward intersection method was adopted to deal with multi-baseline stereo from low altitude digital images with large overlapping. Experiments on spatial forward intersection with stereo pairs of different overlapping and multiple images indicate that multiview photogrammetry is able to improve the photogrammetric accuracy of low altitude digital images.