Course Title : Remote Sensing and Geographic Information Systems

Code 10A805
Course Year Master and Doctor Course
Term 1st term
Class day & Period Tue 2nd
Location C1-117
Credits 2
Restriction No Restriction
Lecture Form(s) Lecture & Exercise
Language Japanese
Instructor Masayuki Tamura, Junichi Susaki

Course Description

Geoinformatics is the science and technologies dealing with spatially distributed data acquired with remote sensing, digital photogrammetry, global positioning system, etc, to address the problems in natural phenomena or human activities. This lecture particularly focuses on satellite remote sensing and explains the theory and the technologies for analyzing environmental changes or disaster effects. A free software "MultiSpec" is used in exercises to learn the basic techniques of image processing.


Grading is based on the achievements in home works given in every lesson.

Course Goals

To understand the basic theory and to acquire the basic techniques of satellite remote sensing for observation and analysis of environmental changes and disaster effects.

Course Topics

Theme Class number of times Description
Introduction 1 1. Introduction to remote sensing
2. Applications in environmental and disaster prevention fields
Radiation and reflection of electromagnetic waves 1 1. Classification of electromagnetic waves
2. Basic terms on electromagnetic radiation
3. Theory of electromagnetic radiation from objects
4. Classification of satellite sensors by observation wavelengths
Atmospheric effects on satellite observations 1 1. Absorption and scattering of electromagnetic waves by atmospheric particles
2. Atmospheric radiative transfer of electromagnetic waves
3. Atmospheric effects on satellite observations
4. Correction of atmospheric effects
Satellite sensors 1 1. Principles of visible and infrared sensors
2. Examples of visible and infrared sensors
3. Applications of infrared sensors
Image correction 1 1. Image processing procedure
2. Image enhancement
3. Image correction
4. Correction of geometrical distortion
Image classification 1 1. What is image classification?
2. Theory of image classification
3. Classification rules
4. Image classification procedure
SAR imaging I 1 1. Microwave radiation
2. Scattering of microwave
3. Real aperture radar
SAR imaging II 1 1. Synthetic aperture radar
2. Geometrical distortion of radar images
Poperty of SAR data 1 1. Statistical property of SAR data
2. Specle filter
3. Expression of polarimetric characteristics
Measurement of topography using SAR data 1 1. SAR sterescopy
2. SAR interferometry
3. Differential SAR interferometry
Monitoring land deformation using multiple SAR data 1 1. Stacking SAR data
Analysis of digital elevation data 1 1. Spatial filtering
2. Generation of shaded relief
Raster and vector maps 1 1. Raster maps
2. Vector maps
3. Handling of vector maps
Generation of DEM from airborne LIDAR data 1 1. Airborne LIDAR
2. Processing LIDAR data
3. Interpolation of spatial point data
Assessment of understanding 1 Assess students' understanding levels



•W. G. Rees,Physical Principles of Remote Sensing 3rd ed., Cambridge University Press, 2013.
•J. A. Richards and X. Jia,Remote Sensing Digital Image Analysis: An Introduction, 5th ed., Springer-Verlag, 2013.
・M. Netler and H. Mitasova, Open Source GIS: A GRASS GIS Approach 3rd ed., The International Series in Engineering and Computer Science, 2008.


Basic knowledge in computer information processing

Web Sites

Additional Information