Geographic Information Systems and Remote Sensing – SEA


Methods and Tools T3120 Geographic Information Systems and Remote Sensing – SEA
Exam Code 3120
Credit Points 5 ECTS
Term Winter
Module Coordination Prof. Dr.-Ing. Jackson Roehrig
Lecturers Prof. Dr.-Ing. Jackson Roehrig, Le Thi Chau Ha PhD, Dao Viet Dung M.Sc.
Workload (h) 45 Attendance 105 Self-Study
Prerequisites The lectures will be hold in the computer lab. Nevertheless, it is recommended to install the required software on your computer for the homeworks. If you have a laptop, it is also recommended to use it during the lectures. If you decide to use your own computer, the following software should be installed (unhappily available only for Windows):

  • ArcGIS: an individual license can be obtained with Fabian Kreienbrink and has a duration of one year]. Installation instructions can be found in ILIAS. Install the 64-bit version if your computer has a 64-bit operating system
  • Anaconda: it is a completely free Python distribution (including for commercial use and redistribution). It includes over 195 of the most popular Python packages for science, math, engineering, data analysis. Download it from here.
  • PyCharm: download it from here. The community edition fulfills our purposes.
    GDAL and other programs: Installation instructions will be given during the lectures

It is recommended to attend online courses or follow tutorials on Python before the module starts. Some recommendations:

http://www.codecademy.com/en/tracks/python (for absolute beginners)
https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-0 (for Python beginners with some programming skills)
http://en.wikibooks.org/wiki/Python_Programming

Intended Learning Outcome Geographical Information System (GIS) and Remote Sensing (RS) are widely used for spatial analysis of natural resources. The students are able to

  • retrieve, organize and visualize spatial data from different sources,
  • create their own spatial data,
  • present / visualize spatial data,
  • analyze spatial data, and
  • understand advanced geoprocessing strategies

in the context of evaluation (e.g. impact assessment), project planning and for operational purposes (e.g. operational city administration, food, water or energy supply)

Content Geographic Information Systems

  • Definition, history, spatial information
  • GIS Software, GIS data
  • Raster, features, tables, data formats
  • Visualization and presentation of spatial information
  • Creating and editing spatial data
  • Spatial analysis
  • Geoprocessing

Remote Sensing

  • Definition, history
  • Physical principles
  • Photogrammetry
  • Multispectral systems
  • Microwave systems Lidar
  • Digital image analysis
Teaching Method Lectures, exercises, discussion of examples from module Project
Assessment Method Practical lab examination
Recommended Reading Online tutorial and other documents will be given during the lecture
Version 11.05.2016

Next Methods and Tools Module: Environmental Monitoring – SEA

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