This research investigates on change detection in synthetic aperture radar images for disaster analysis. A satellite image is one of the important sources of the research-oriented platform which helps to monitor earth regularly. It provides information through multi-temporal images. It also ensures accurate data over a large geographical area in the world. The satellite image is independent of sunlight and atmospheric conditions so it is countered as the best source of an image detection device in remote sensing. The main objective of this research is to implement image change detection and analysis for two same geographical satellite images of different days. This research four stages preprocessing, image enhancement, segmentation through thresholding, detection of changes. The result ensures with 91.87% accuracy with change detection for disaster analysis.