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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Urban Design and Built Environment
- Instructor(s)
- Matsuoka Masashi
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Mon3-4(G324)
- Group
- -
- Course number
- UDE.E402
- Credits
- 1
- Academic year
- 2016
- Offered quarter
- 1Q
- Syllabus updated
- 2016/4/27
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
This course focuses on the characteristic of geospatial information in geographic information system (GIS) and basics of digital images for built environment evaluation and disaster management. Particularly, the principles of remote sensing is introduced to students who are beginners in this field. The fundamental knowledge on the physics of remote sensing, data acquisition, and observation platforms such as UAV, airborne, and satellite are learned. Multispectral, hyperspectral, thermal, and LiDAR imaging, and image analysis of raster data is introduced. Because sensors and observation systems are constantly advancing, the newest technology in the field is also discussed. Students will have good understanding and basic skills of remote sensing through this course.
Student learning outcomes
By the end of this course, students will be able to:
1) Understand the basics of GIS and explain the application examples.
2) Explain the framework of remote sensing, the principles of electromagnetic waves, and the characteristics of sensors.
3) Explain the characteristics of analog and digital information and their differences.
4) Acquire the procedures of image processing, and classify the land surface by satellite images.
Keywords
remote sensing, geographic information system (GIS), image processing, satellite, built environment
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
At the beginning of each class, key points of the previous class are reviewed. In the class, students are given exercise problems related to the lecture given that day to solve. To prepare for the class, students should read and check what topics will be covered from the materials uploaded on web site in advance. Required learning should be completed outside the classroom for understanding and review new technologies.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Overview of GIS and remote sensing | Understand the overview of GIS and remote sensing technologies for built environment |
| Class 2 | Fundamentals and application of GIS | Understand the basic of GIS, data structure, recent GIS applications, and international standard |
| Class 3 | Fundamentals of remote sensing | Understand the framework of remote sensing and basic of electromagnetic waves |
| Class 4 | Sensors and satellite observation | Understand the various sensors and satellites observation |
| Class 5 | Digital imagery | Understand analog to digital conversion for raster images and image characteristics |
| Class 6 | Image analysis #1 | Explain and demonstrate the basic of image processing such as enhancement and edge extraction |
| Class 7 | Image analysis #2 | Classify land surface by supervised and unsupervised image classification methods |
| Class 8 | LiDAR observation and thermal image on urban monitoring | Understand LiDAR data acquisition for surface modeling and thermal images |
Textbook(s)
no required
Reference books, course materials, etc.
Thomas M. Lillesand, Ralph W. Kiefer, Jonathan Chipman: Remote Sensing and Image Interpretation, sixth edition, John Wiley and Sons, Inc.,
Tutorial: Fundamentals of Remote Sensing: http://www.nrcan.gc.ca/earth-sciences/geomatics/satellite-imagery-air-photos/satellite-imagery-products/educational-resources/9309
Assessment criteria and methods
mid-term report (30%) and final report (80%)
Related courses
- UDE.S534 ： Remote Sensing for Disaster Management
- UDE.S434 ： Safe Built Environment I
Prerequisites (i.e., required knowledge, skills, courses, etc.)
no required in advance
