Remote Sensing Revolution- A Critical Analysis of Change Detection on Satellite Images

Satellite imagery has become an invaluable resource for monitoring and understanding changes in our natural and built environments. In different domains like urban planning, environmental monitoring, disaster management, and agriculture, change detection in satellite images holds a crucial role. This literature review intends to provide a thorough summary of the current techniques employed in change detection on satellite images. The review begins by elucidating the importance of change detection in remote sensing and its uses in many fields across diverse domains. Additionally, the study conducted an in-depth analysis of the various datasets commonly employed within this field of research. It then delves into the fundamental concepts and challenges associated with change detection. The core of the literature review explores various change detection methodologies including Supervised, Unsupervised, Algebra based approaches. It highlights the benefits and drawbacks of each method and provides information on their suitability for different applications. Emphasis is placed on the recent advancements in deep learning techniques, which have shown outstanding performance in change detection tasks. To further contextualize the literature, the review explores case studies and real-world applications of change detection, including urban growth monitoring, forest change analysis, disaster response, and climate change studies. It highlights the practical implications of these studies and their contributions to informed decision-making.