[Call for Papers]
In recent years, rapid advancements in geospatial technologies have greatly enhanced our ability to understand, model, and manage the complex dynamics of the Earth’s surface and environment. High-resolution satellite imagery, cutting-edge Geographic Information Systems (GIS), innovative remote sensing methods, and sophisticated data processing algorithms have contributed to a more comprehensive and nuanced understanding of physical, ecological, hydrological, and environmental phenomena. These developments in geospatial sciences and engineering are now crucial for addressing global challenges, guiding informed decision-making, and supporting sustainable development. This special issue aims to highlight the latest breakthroughs and applications in geospatial sciences and engineering. It seeks original research articles and comprehensive review papers that present state-of-the-art methodologies, showcase new analytical tools, and explore interdisciplinary integrations across various aspects of geospatial information. By bringing together researchers and practitioners working in GIS, remote sensing, photogrammetry, and other related domains, this special issue intends to foster a multidisciplinary forum to discuss recent progress, share innovative solutions, and outline the roadmaps for future developments. We encourage submissions that demonstrate theoretical advancements, cutting-edge algorithms, and real-world applications. Contributions focusing on emerging trends, novel approaches to data acquisition and processing, and advanced utilization of geospatial datasets (including high-resolution imagery from satellite, aerial, and UAV platforms) are particularly welcome. Potential topics include, but are not limited to:
Manuscript Due Date: March 31, 2025
Hyung-Sup Jung, University of Seoul, Seoul, Korea; hsjung@uos.ac.kr |
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List |
Jongsoo Park1 , Hagyu Jeong2
, Junwoo Lee2*
Md Asrakul Haque1, Md Nasim Reza2,3, Mohammod Ali2,3, Md Rejaul Karim1, Shahriar Ahmed1, Kyung-Do Lee4, Young Ho Khang5, Sun-Ok Chung6,7*