I. Basic Information of the Major
Major Code: 081202
Major Name (Chinese): Remote Sensing Science and Technology
Major Name (English): Science and Technology of Remote Sensing
Study Duration: The standard study period is 4 years. According to the relevant regulations on student academic management, the study period ranges from 3 to 6 years.
Degree Awarded: Bachelor of Engineering
Major Advantages and Characteristics: Amid the rapid development of China's spatial information industry and leveraging our university's strengths in meteorology and information engineering, our major emphasizes a distinct "atmospheric" feature. We incorporate the CDIO engineering education model into our training program, focusing on the cultivation of students' comprehensive qualities. Supported by traditional foundational courses in remote sensing, geographic information systems (GIS), and surveying and mapping (collectively known as 3S), we offer specialized courses in remote sensing big data processing and information mining, as well as atmospheric remote sensing. Complementary elective courses are also available to facilitate students' individualized development. Guided by multi-level engineering practice projects, we consider the actual market demands of meteorological remote sensing, environmental remote sensing, and surveying and mapping remote sensing, ultimately achieving a professional training program that is "supported by 3S technology, aimed at the comprehensive application of remote sensing big data and meteorology, with a strong foundation in theory, emphasis on practical skills, and a focus on ability cultivation."
II. Training Objectives
Our major aims to cultivate high-quality talents with excellent moral character, a solid foundation in remote sensing theory, comprehensive system thinking abilities, strong practical skills, good professional ethics, a spirit of teamwork, and rapid social adaptability. These talents should master the basic theories and skills of remote sensing data acquisition and processing, thematic information extraction, remote sensing data modeling and inversion, digital surveying and mapping, and remote sensing information services. With background knowledge in meteorology, surveying and mapping, geography, and related fields, they should be capable of engaging in basic research, applied research, design and development, production management, and administrative work in sectors such as meteorology, surveying and mapping, land resources, national defense, forestry, agriculture, resource management, environmental protection, and urban planning. They can also pursue further studies in related fields.
After about 5 years of practical work after graduation, students should reach the proficiency level of a remote sensing professional engineer and be able to achieve the following goals:
Possess basic theories, engineering fundamentals, and relevant mathematical and natural science knowledge in remote sensing-related fields; master the skills of acquiring, processing, extracting, and comprehensively analyzing remote sensing data, meteorological data, and other spatial information.
Be capable of engaging in the design, implementation, organization, and management of remote sensing-related engineering projects.
Demonstrate good communication skills and interpersonal abilities, enabling effective collaboration and contribution within a team.
Have strong employment competitiveness in the remote sensing and surveying and mapping geographic information industries, and possess the ability to work in related fields.
Exhibit a strong sense of social responsibility and professional ethics; have a clear personal career development plan and a commitment to lifelong learning.
III. Graduation Requirements
Students in this major primarily study the basic theories and knowledge of remote sensing data acquisition, remote sensing data analysis and processing, and remote sensing technology applications. They receive basic training in field data collection, remote sensing image interpretation, thematic mapping, big data processing, quantitative retrieval, and comprehensive meteorological applications of remote sensing. Upon graduation, students should possess the following foundational knowledge and skills:
Engineering Knowledge: Understand the development status of the remote sensing industry; have a solid foundation in mathematics and physics; master the theories and knowledge of remote sensing science, surveying and mapping science, geographic information science, computer science, electronic information,and other disciplines; and be able to comprehensively apply them to complex engineering problems in the field of remote sensing.
Problem Analysis: Apply the basic principles of mathematics, natural sciences, and remote sensing science to analyze and study complex remote sensing information engineering problems. Utilize literature retrieval, information inquiry, and modern information technology to analyze complex engineering problems and draw effective conclusions.
Design/Development of Solutions: Design solutions for complex engineering problems in the field of remote sensing science and technology. Develop remote engineering design plans that reflect innovation and consider human, social, safety, legal, and environmental factors.
Scientific Research: Master remote sensing data processing and information extraction techniques, as well as methods for the comprehensive application of remote sensing and meteorology. Have a certain understanding of remote sensing quantitative retrieval theories and methods, and be familiar with the specific applications of remote sensing technology in various fields. Conduct research on remote sensing technology and its applications based on scientific principles and methods, and synthesize information to draw effective conclusions.
Use of Modern Tools: Proficiently use professional software for remote sensing and GIS, as well as advanced programming languages. Combine modern information retrieval and generative artificial intelligence tools to process, extract, and analyze remote sensing and meteorological data, and create thematic applications and remote sensing maps. Utilize remote sensing big data computing platforms, artificial intelligence methods, and other tools to predict and simulate complex remote sensing engineering and technical problems, and interpret the results.
Engineering and Society: Analyze and evaluate the social, safety, legal, health, and cultural impacts of engineering design plans and solutions based on knowledge of remote sensing information engineering. Understand and fulfill corresponding responsibilities.
Sustainable Development: Understand and evaluate the impact of remote sensing information engineering practices on environmental and social sustainability.
Professional Ethics: Possess humanities and social science literacy and a sense of social responsibility. Understand and adhere to professional ethics and norms in the practice of remote sensing information engineering and related disciplines, and fulfill responsibilities.
Individual and Team: Have good communication skills and interpersonal abilities. Be able to collaborate effectively and contribute within a multidisciplinary team in the field of remote sensing.
Communication: Effectively communicate and exchange ideas on complex remote sensing information processing, extraction, and application issues with industry peers and the public. Have an international perspective andintercultural inclusiveness.
Project Management: Understand and master the principles of remote sensing information engineering management and economic decision-making methods. Apply them in a multidisciplinary environment to effectively manage engineering projects.
Lifelong Learning: Master basic methods for information retrieval and literature search. Be able to proficiently read English technical literature in the field and have basic English writing and communication skills. Have a consciousness of autonomous and lifelong learning, and the ability to continuously learn and adapt to development.
