The extraction of land boundaries from SAR images plays a pivotal role in advancing peace processes and comprehensive rural reform in Colombia, this article explores the application of artificial intelligence (AI) techniques to automate boundary extraction, emphasising its significance in the context of Colombia’s ongoing efforts to resolve land disputes and promote rural development, Traditional methods of delimitation are often time – consuming and prone to human error, by leveraging AI, specifically machine learning algorithms, we can achieve precise and efficient boundary extraction, reducing the need for extensive manual intervention, this automatization facilities accurate land registry updates, which are essential for fair land distribution and the resolution of territorial conflicts.