GIS and Remote Sensing in Geosciences
BOKU 872.000 VU2 WS2017 2016 2015 2014 2013 2012 2011 2010
Anna Iglseder (Teaching assistant)
Geographic Information Systems or Sciences (GIS) stand for computer software, digital data and computing methods designed to manage spatial information. Spatial information carries a spatial reference, usually bound to a projected or geographic coordinate system. This means that the location of a point or an image pixel does not just contain interior coordinates, but also exterior ones. Today, remotely sensed datasets like aerial or satellite imagery are an integral part of GIS. Most problems in applied geosciences are not restricted to one single point, but are spatially - and often also temporally - more complex. Lakes or glaciers may change in size, flow processes (lava flows, landslides, debris flows etc.) spread along a certain path. GIS in combination with Remote Sensing (RS) are valuable tools to analyze process behaviour, interactions between systems or spatio-temporal changes of systems.
This course shall give an introduction in how to efficiently use GIS and RS in various fields of Applied Geosciences. The course is focussed on the retrieval, preparation and analysis of remotely sensed datasets, with emphasis on optical and infrared satellite imagery as well as digital elevation models (DEMs). Some basic understanding of the principles of GIS and Remote Sensing is expected from the participants.
The course follows a concept of learning by doing. Specific real-world problems faced by Applied Geoscientists are taken as examples. The various aspects of GIS and RS are conveyed by introducing step-by-step solutions of those problems. The course is not coupled to one specific software package and is not thought to constitute a how-to-do manual. It rather introduces to general GIS-specific functions which can be performed by various packages. However, it also attempts to convey a feeling for which software performs best for which types of tasks. At the end of the course, the participants will be able to
- decide which methods, data and software are useful for the solution of which type of problem;
- know where to search for and how to prepare the data;
- independently, efficiently and creatively perform standard and slightly advanced operations on DEMs and satellite imagery;
- know about more advanced methods of RS.
The course builds on four comprehensive lessons with a wide range of topics and study areas. Two more lessons are dedicated to practice and to the final exam. Each lesson has a duration of four teaching units.
The course takes place in the GIS/RS laboratory EXNH-02/61 in the Wilhelm-Exner-Haus (Peter-Jordan-Strasse 82).
8 January 2018
- find globally available medium-resolution datasets relevant for the Applied Geosciences
- prepare these datasets for analysis
- derive simple terrain characteristics from the DEMs
- combine various channels of satellite images for visual interpretation and quantitative analysis
The training area for this lesson is Hawaii.
Download training data for Hawaii
10 January 2018
- deepen the knowledge obtained in the previous section
- learn how to combine raster maps by arithmetic algorithms
- learn how to extract hydrologic information from digital elevation data
Download training data for the Hunza Valley
11 January 2018
- learn some general aspects about GIS-based modelling of mass movements
- perform simple slope stability calculations
- learn about more complex methods of slope stability analysis
- get an idea how to apply computer modelling for estimating the impact area of mass movements
Download training data for the Mendoza Valley
15 January 2018
15 January 2018
- create a digital elevation model from stereo pairs of satellite imagery
- perform a pixel-based image classification
- generate 3D views of landscapes
Download training data for the Pamir
17 January 2018
Practice of the methods learned in the previous lessons
18 January 2018