In the ever-evolving landscape of Earth observation and remote sensing, the task of building change detection holds paramount importance. Monitoring shifts in urban development, infrastructure alterations, and environmental changes is pivotal for understanding and managing our dynamic world. KhalifaSat, an advanced Earth observation satellite, plays a pivotal role in providing high-resolution satellite imagery that empowers these change detection efforts. Deep learning techniques have emerged as a transformative force, automating the once-manual process and enhancing the accuracy and efficiency of building change detections. In this webinar, we’ll provide a detailed exploration of building a change detection model specifically tailored for detecting changes in buildings, using deep learning in conjunction with KhalifaSat images. The webinar will demonstrate the entire process, from dataset collection and image preprocessing to custom dataset labeling, model training, and the rigorous testing and evaluation of model results. This comprehensive showcase will offer attendees valuable insights into the practical application of this transformative technology for building change detection.