Course title
空間情報解析演習   [Exercise for Spatial Information Analysis]
Course category   Requirement   Credit 1 
Department   Year 1  Semester 3rd 
Course type 3rd  Course code 05ce0006
Instructor(s)
岩男 弘毅, 山下 恵   [IWAO Koki, YAMASHITA Megumi]
Facility affiliation Graduate School of Agriculture Office   Email address

Course description
The purpose of this course is to understand the techniques using geoinformatics (remote sensing and GIS) that can effectively process, display and analyze spatial information that is important in the field of agriculture and environmental field research, and acquire the basic technology.

Deepen the understanding of the significance and role of spatial information analysis technology, basic principles of the map projection, coordinate systems, numerical terrain models, spatial information analysis methods and simulation methods.

In addition, will introduce the latest technologies such as laser scanning from aircraft and ground and drone.
Expected Learning
Applicants will enable fundamentals natural environment analysis by using global environmental data (mainly optical satellite data) provided as open data and spatial analysis software published by open source.

See the Curriculum maps.
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Course schedule
1-2. Fundamentals of Geoinformatics (remote sensing and GIS) (review)
3-4. Acquisition methods of the Earth observation satellite data
5-6. Introduction of QGIS (Open Source GIS Software)
7-10. Analysis using QGIS (visualization, elevation analysis, band calculation, etc.)
11-15. Practical training

Prerequisites
In completing this course, students will spend the standard amount of time as specified by the University.
Required Text(s) and Materials
Use printed materials
References
Remote Sensing Notes (accessible freely from below mentioned site)
http://wtlab.iis.u-tokyo.ac.jp/wataru/lecture/rsgis/rsnote/contents.htm
Assessment/Grading
60%: Practical training
40%: Training and discussion
Message from instructor(s)
Since the fundamental of remote sensing and GIS, etc. will be touched in the beginning of the lecture, applicants can be taken this course without having the background knowledge
Course keywords
remote sensing, GIS, open data, open source, satellite image,
Office hours
After the lecture
Remarks 1
Remarks 2
Related URL
Lecture Language
English
Language Subject
Last update
3/1/2022 12:25:32 PM