This study examines advanced image processing techniques to improve satellite imagery for use in disaster management and recovery efforts. Through methods like deep learning-based image segmentation and noise reduction, we enhance image clarity and detail, allowing for better decision-making in emergency response. The results indicate a significant improvement in identifying affected areas, aiding faster and more accurate response.