Course title
Academic Communication   [Academic Communication]
Course category   Requirement   Credit 2 
Department   Year 3  Semester Fall 
Course type Fall  Course code 01rn3056
Instructor(s)
鈴木 絵里子, 川合 伸也   [SUZUKI Eriko, KAWAI Shinya]
Facility affiliation Organization for the Advancement of Education and Global Learning Office FS-2F / FM Tama  Email address

Course description
Remote sensing is one of the tools to collect geospatial information efficiently, and is a technology to estimate various phenomena and conditions occurring in the atmosphere and on the ground surface in a non-contat way based on the characteristics of various materials and objects reflecting, radiating, transmitting, and propagating various electromagnetic wave. In the lecture, students learn the types of electromagnetic waves observed by sensors, the characteristics of objects and materials constituting the atmosphere and ground surface for electromagnetic waves, and the basics of analyzing image data observed by various sensors mounted on earth observation satellites. In addition, the potential applications of remote sensing technology to various regional issues in urban, rural, and forest areas will be discussed.
Expected Learning
(1) Understand the types of electromagnetic waves and their reflection/emission characteristics, types of sensors, and observation principles of various sensors.
(2) Identify ground surface conditions from multispectral satellite imageries.
(3) Understand basic knowledge of satellite image analysis to quantitatively the state of the earth's surface and its changes over time.

Detail information is provided in the following map. https://www.tuat.ac.jp/campuslife_career/campuslife/policy/
Course schedule
1. Guidance: Geoiformatics and Remote Sensing
2. Overview and history of remote sensing
3. Basics of Remote Sensing: Types of Electromagnetic Waves/Basic Quantity of Radiation
4. Various sensors and platforms
5. Spectral reflectance characteristics: visibility and recognition of objects
6. What is digital image: sampling and quantization
7. Spectral reflectance characteristics in images: Color composite of multispectral images
8. Pre-processing of satellite images: Radiance correction and geometric correction
9. Examination (1)
10. Satellite Image Analysis (1): Inter-band Calculation / Vegetation Index
11. Satellite Image Analysis 2: Time Series Analysis
12. Satellite Image Analysis ③: Land Cover Classification
13. Application of Remote Sensing: Terrestrial area
14. Application of Remote Sensing: Atmosphere and Weather
15. Examination (2)
Prerequisites
Practice and review should be conducted with reference materials and handouts. Learning needs to be conducted according to the learning time of our university.
Required Text(s) and Materials
Handout will be provided throgh google classroom.
References
Assessment/Grading
The small test 20 %
Examinations 80%
Message from instructor(s)
Course keywords
Office hours
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
3/13/2023 4:41:06 PM