Oscar Javier Espejo Valero is a geospatial scientist and professor with over 17 years of experience in remote sensing, geographic information systems (GIS), and spatial analysis. He holds a Master’s degree in Information and Telecommunications Sciences with an emphasis in Geomatics from the Universidad Distrital Francisco José de Caldas. His work focuses on the design and implementation of large-scale geospatial monitoring systems, integrating satellite remote sensing, artificial intelligence, and cloud-based processing. He has led national-level initiatives for land cover and agricultural monitoring in Colombia, contributing to the development of operational methodologies for multitemporal analysis, change detection, and spatial modeling in complex environmental contexts. He combines research, technical leadership, and teaching, with extensive experience as a lecturer in undergraduate and graduate programs in remote sensing, digital image processing, GIS, and spatial analysis. His academic work emphasizes the integration of theory and applied methodologies, as well as the training of professionals in advanced geospatial technologies. Throughout his career, he has coordinated interdisciplinary teams and contributed to projects with national institutions and international organizations, strengthening capacities in geospatial analysis and Earth observation. His research interests include land cover dynamics, agricultural monitoring, artificial intelligence applied to geospat