Remote sensing technology and global positioning system (GPS), as the two pillars of modern space information technology, are changing the way we perceive and manage the Earth at an unprecedented speed. In order to promote academic exchanges and cooperation in this field, and to promote the transformation of scientific research and academic achievements, the 2024 International Conference on Remote Sensing and Global Positioning Algorithm (RSGPA 2024) was successfully held from June 28th to 30th, 2024 in Beijing, China via virtual form. The conference not only focused on the latest achievements of remote sensing mapping technology, but also discussed in depth the innovation and application of global positioning algorithms, aiming at promoting the transformation of scientific research and academic achievements through experience sharing and wisdom collision, promoting the gathering of talents, technology and capital, and injecting new kinetic energy into the development of related fields. It attracted a number of paper submissions related to remote sensing technology and global positioning system, and featured a variety of research directions, including Remote Sensing Mapping, Positioning Algorithms, AI-Assisted Localization, Hyperspectral Image Processing, Optical Remote Sensing, Microwave Remote Sensing, Remote Sensing Information Engineering, Image Processing Techniques, Geospatial Data Modeling and so on. The conference’s agenda covered a wide range of topics and presentations, mainly falling into keynote speeches, oral presentations, poster presentations, and academic discussion. Keynote speakers shared their latest research results and innovative ideas in the fields of remote sensing technology and global positioning system and their relevant domains, providing participants with valuable academic resources and inspiration. Professor Tao Chen (China University of Geosciences, Wuhan) talked about landslide recognition based on deep learning; Professor Muhammad Bilal (Henan Polytechnic University) presented a novel method for aerosol retrievals from multisensor remote sensing data over urban areas; Professor Kannimuthu Subramaniyam (Karpagam College of Engineering) illuminated the advancements and challenges in utilizing machine learning for cyber threat detection and mitigation. By fostering an environment of academic exchange and collaboration, RSGPA 2024 promoted the exploration of new ideas, the formation of partnerships, and the dissemination of research findings, ultimately contributing to the advancement of remote sensing and positioning technologies. All of the submissions received from the conference were exhaustively reviewed by the program committee members and peer-reviewers, who took into account the breadth and depth of the research topics that fall under the scope of RSGPA. The most promising contributions have been selected for inclusion in this Proceedings, which present innovative original ideas or results of general significance supported by clear and rigorous reasoning and compelling new evidence, as well as methods. This Proceedings not only provides participants with valuable academic resources, but also provides important references and insights for researchers in related fields. We would like to acknowledge all the speakers, authors, supporters, committee members and anonymous reviewers for their efforts in making RSGPA 2024 a complete success. We’d also appreciate the support from the staff of Journal of Physics: Conference Series for making this Proceedings published. The Committee of RSGPA 2024 List of Committee Member is available in this pdf.