Remote Sensing and Geographic Information Systems
| Numbering Code |
G-ENG01 6A805 LJ73 G-ENG02 6A805 LJ73 |
Year/Term | 2022 ・ First semester |
|---|---|---|---|
| Number of Credits | 2 | Course Type | Lecture |
| Target Year | Target Student | ||
| Language | Japanese | Day/Period | Tue.2 |
| Instructor name |
UNO NOBUHIRO (Graduate School of Engineering Professor) SUSAKI JUNICHI (Graduate School of Engineering Professor) KIMURA YUUSUKE (Graduate School of Engineering Assistant Professor) |
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| Outline and Purpose of the Course | 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 course particularly focuses on remote sensing by using LiDAR and geographic information system (GIS) and explains the theory and applications. Unlike traditional surveying, LiDAR technique can sequentially obtain the data in a wide area within a short time, and thus it is now widely used in construction and management of civil infrastructure. GIS is a technique to handle digital maps and related information, and it is popular in the fields of urban planning, environmental management and infrastructure management. This course provides an understanding of remote sensing and GIS via applications presented by the exercises of remote sensing and lectures of GIS. | ||
| Course Goals | Students understand the basic theory and acquire the basic techniques of remote sensing for observation and analysis of environmental changes, disaster effects and human activities in urban areas. And, they understand the basic theory and applications of GIS. | ||
| Schedule and Contents |
(1) Introduction & Coordinate system and map projection, 1 slot, Introduction to remote sensing and GIS is given. Principal coordinate systems and map projection methods used for satellite image and GIS data are explained. (2) Radiation and reflection of electromagnetic waves, and optical sensor, 1 slot, Basic terms on electromagnetic radiation including radiation and reflection are introduced, and calculation of suface reflectance and temperature is explained. In addition, principles and applications of visible and infrared sensors are introduced. (3) Property of SAR, 1 slot, Concept of synthetic aperture radar (SAR) is first introduced, and the image processing, statistical property, speckle filtering and polarimetric SAR are explained. (4) Measurement of topography using SAR data, 1 slot, Theory of Interferometric SAR (InSAR) and differential InSAR (DInSAR) is introduced. Then, long-term monitoring of land deformation by using multi-temporal SAR imagges is explained. (5&6) Measurement of topography using photogrammetry, 2 slot, Generation of DSM by using photogrammetry is explained. (7) Introduction to GIS, 1 slot, Structure of GIS (Geographic Information System) and its utilization for spatial analysis are outlined. (8) GIS and Network Analysis, 1 slot, Basic idea of network structure, evaluation indices and methods of network analysis are explained. (9) GIS and Spatial Correlation Analysis, 1 slot, Focusing on spatial correlation analysis useful for developing spatial model, regression analysis and spatial auto correlation analysis are explained. (10) Classification Method of Spatial Attribute, 1 slot, Classification method of spatial attribute is explained in order to classify the target area using attribute information in GIS. (11) Transportation Big Data Collected by Mobile Objects Observation and Its Utilization, 1 slot, The changes in transportation observation led by progress of location identification technologies is stated. In addition, utilizations and issues of big data in transportation are explained. (12) Realization of Smart City and Big Data Utilization, 1 slot, The concept of Smart City and corresponding projects are introduced, and utilizations and issues of big data for smart city are explained. (13&14) Open Data and GIS, 2 slot, The concept of open data and the domestic and oversee activities about it are explained. The GIS software that can use the open data is introduced and the analysis using the open data is explained. (15) Assessment of understanding, 1 slot, Assess students' understanding levels |
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| Evaluation Methods and Policy | Grading is based on the achievements in exercise and assignments. Mid-term exam related to the topics from No.1 to 6 may be assigned. | ||
| Course Requirements | None | ||
| Study outside of Class (preparation and review) | Nothing | ||
| References, etc. | - Junichi Susaki and Michinori Hatayama, Geoinformatics, Corona Publisher, 2013 - 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. | ||
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