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Enhancing Remote Sensing Education: A Progressive-Guided Experimental Teaching System Integrating Industry, Academia, and Research

Author(s)

Lifeng Liang1,2, Xiujuan Liu1,*, Ruihang Ling1

Affiliation(s)

1School of Geographical Sciences, Lingnan Normal University, Zhanjiang, Guangdong, China 2Mangrove Institute, Lingnan Normal University, Zhanjiang, Guangdong, China *Corresponding Author.

Abstract

Remote sensing technology, as an interdisciplinary and versatile field, is widely applied in geographic information science, environmental monitoring, agricultural management, and disaster response. However, the practical component of remote sensing education is currently underdeveloped, leading to deficiencies in students' hands-on skills and innovative thinking. To address this issue, this paper proposes an experimental teaching system that integrates industry, academia, and research, focusing on a deep integration of theoretical knowledge and practical application. A "progressive-guided" experimental teaching method is designed as the core of this approach. Instructors not only demonstrate software operations based on video content, but also provide in-depth explanations on topics beyond the scope of the videos, drawing from extensive project experience. This method helps students quickly integrate the principles, basic methods, core operations, and advanced project applications of remote sensing, thereby improving their practical skills and overall competence. Furthermore, through collaborations with research institutions and enterprises, the experimental content is enriched, fostering students' creativity and problem-solving abilities. The proposed teaching model enhances the quality of remote sensing education and provides new pathways for cultivating highly skilled remote sensing professionals. Looking ahead, the integration of emerging technologies such as virtual reality (VR) and augmented reality (AR) will further enhance remote sensing education, promoting the development of talent and driving educational reform in this field.

Keywords

Remote Sensing Technology; Educational Reform; Industry-Academia Collaboration; Practical Application; Innovative Thinking

References

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