We implement a mulitview stereo pipeline for three-dimensional reconstruction of terrain from multi-date satellite imagery. Pairs of images are rectified using their RPC camera models and densely matched using the SGM algorithm, and the disparities are triangulated to produce point clouds, which are filtered by comparison with a publicly available worldwide DEM and by outlier removal. The point clouds are then aligned using the ICP algorithm, selected for quality of the alignment, and merged by selecting points of agreement between them. After further outlier removal and a DBSCAN to remove small, detached clusters, we present the final reconstruction as a triangle mesh, generated using Poisson Surface Reconstruction.