2019 GIS and Digital Image Processing for Built Environment

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Academic unit or major
Graduate major in Urban Design and Built Environment
Instructor(s)
Matsuoka Masashi 
Course component(s)
Lecture
Day/Period(Room No.)
Wed1-2(G324)  
Group
-
Course number
UDE.E402
Credits
1
Academic year
2019
Offered quarter
1Q
Syllabus updated
2019/4/1
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

Intercultural skills Communication skills Specialist 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

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