A method of cloud removal is presented utilizing data in the visible and near-infrared bands (0.5-1.1 μm) from a pair of HCMM (Heat Capacity Mapping Mission) satellite images of the South Island of New Zealand. The method uses two registered images, acquired at different times with different cloud distributions. The major improvement over other cloud detection techniques is the simultaneous use of a dual threshold to produce better cloud removal in the resulting mosaic picture from each original image. A previously developed mosaic method used by the EPIC image processing system at the Division of Information Technology, Department of Scientific and Industrial Research, New Zealand, to remove cloud is also used for comparison. The results show that both methods can be used to remove cloud but the appropriate method depends on the purpose of cloud removal.