The article discusses Geographic Object-Based Image Analysis (GEOBIA) as a new paradigm in remote sensing and Geographic Information Science (GIScience). It highlights the limitations of traditional per-pixel methods, especially in high-resolution imagery, and argues that GEOBIA offers a more effective approach by considering objects rather than individual pixels. GEOBIA integrates spatial, contextual, and thematic information, allowing for more accurate and meaningful analysis. The article reviews the development of GEOBIA, its conceptual foundations, and its applications in remote sensing, GIS, and landscape ecology. It also discusses the challenges and opportunities of GEOBIA, including its ability to handle multi-scale and hierarchical data, and its integration with GIS concepts. The article concludes that GEOBIA is a new and evolving paradigm in remote sensing and GIScience, supported by increasing literature, conferences, software tools, and academic research. It emphasizes the importance of object-based analysis in capturing spatial relationships, context, and semantics, which are often overlooked in traditional pixel-based approaches. The article also discusses the role of ontologies, hierarchical structures, and spatial relationships in GEOBIA, and how these contribute to more accurate and meaningful results in remote sensing applications.The article discusses Geographic Object-Based Image Analysis (GEOBIA) as a new paradigm in remote sensing and Geographic Information Science (GIScience). It highlights the limitations of traditional per-pixel methods, especially in high-resolution imagery, and argues that GEOBIA offers a more effective approach by considering objects rather than individual pixels. GEOBIA integrates spatial, contextual, and thematic information, allowing for more accurate and meaningful analysis. The article reviews the development of GEOBIA, its conceptual foundations, and its applications in remote sensing, GIS, and landscape ecology. It also discusses the challenges and opportunities of GEOBIA, including its ability to handle multi-scale and hierarchical data, and its integration with GIS concepts. The article concludes that GEOBIA is a new and evolving paradigm in remote sensing and GIScience, supported by increasing literature, conferences, software tools, and academic research. It emphasizes the importance of object-based analysis in capturing spatial relationships, context, and semantics, which are often overlooked in traditional pixel-based approaches. The article also discusses the role of ontologies, hierarchical structures, and spatial relationships in GEOBIA, and how these contribute to more accurate and meaningful results in remote sensing applications.