 Rapid damage assessment following natural disasters is essential to support rescue, humanitarian, and reconstruction efforts. Satellite remote sensing provides a quick and cost-effective way to map the affected areas, identify the extent of damage, and determine the severity of the event. Interferometric coherence and intensity correlation are two commonly used methods for damage assessment. These methods use multiple images taken from different angles or times to measure changes in the surface topography and identify areas with significant damage. Combinations of these methods can further improve accuracy by combining the advantages of each technique. Additionally, data from other sources, such as GIS and optical imagery, can be used to supplement the results of the SAR analysis. Finally, the Sentinel-1 SAR mission will provide improved capabilities for global damage assessment. This article was authored by Simon Plank.