| School of Engineering and Technology, (SET) | ||
| AT76.9022 : Selected Topic: Free and Open Source Software for Geospatial Analysis 2(1-3) | ||
| Course objectives: | ||
This course aims at providing students with practical utilization of Free and Open Source Software (FOSS) for data manipulation, management and analysis of remote sensing images and GIS data. Students will be trained to able to use and integrate FOSS to make comprehensive system which provides powerful functionalities at very affordable cost. |
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| Learning Outcomes: | ||
Free and Open Source Software for Geospatial, FOSS4G, Data Manipulation, Data Management, Data Analysis, Geospatial Database, GDAL, PostGIS, QGIS, GRASS GIS, MODIS Reprojection Tool. |
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| Pre-requisite(s): | ||
None |
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| Course Outline: | ||
I. Introduction
1. Overview and History
2. Concepts of Free and Open Source Software for Geospatial (FOSS4G)
II. Free and Open Source Software for Geospatial (FOSS4G)
1. Categories and Examples of FOSS4G
2. The Open Source Geospatial Foundation (OSGeo)
III. Geospatial Data Abstraction Library and (GDAL/OGR) for data manipulation
1. Concept and Functionalities
2. GDAL for raster data
3. OGR for vector data
4. GDAL/OGR API (Application Programming Interface)
IV. PostGIS for Geospatial Database
1. Concept and Functionalities
2. Geospatial Database Management and queries
3. Basic topology support, Data validation and coordinate transformation
4. Geometry processing
V. Quantum GIS (QGIS) : the powerful desktop GIS software
1. Concept and Functionalities
2. QGIS for raster data
3. QGIS for vector data
4. Spatial Analysis with QGIS
5. QGIS Plug ins
6. Connecting OGC Web Services and PostGIS
VI. GRASS GIS-I
1. Concept and Functionalities
2. GRASS GIS for raster data
3. GRASS GIS for vector data
VII. GRASS GIS-II
1. Spatial Analysis with GRASS GIS
2. Integrated system of GDAL, PostGIS, QGIS and GRASS GIS
VIII.Mini Project
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| Laboratory Sessions: | ||
Laboratory session will be conducted so that student will be able to manipulate and analyze remote sensing images and GIS data using the Free and Open Source Software.
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| Learning Resources: | ||
| Textbook: | ||
Lecture notes |
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| Reference Books: | ||
M. Neteler and H. Mitasova:
Open Source GIS: A GRASS Approach, Third Edition, Springer, USA, 2009
T. Mitchell:
Web Mapping Illustrated, O’Reilly, USA, 2005
R. Obe and L. Hsu:
PostGIS in Action, Manning Publications, USA, 2011
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| Evaluation Scheme: | ||
Final grades will be computed according to the following percentage distribution:
Final Examination 50% and
Lab Assignments / Mini Project 50%
Examination will be open book.
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| Instructor(s): | ||
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