GIS Module - The course aims to teach the use of QGIS software for geographic and spatial data analysis. The course aims to provide basic knowledge of raster and vector data, as well as more in-depth knowledge of terrain analysis (morphology and hydrology) and spatial analysis (geostatistics and query operations). The course teaches how to manage print layout and how to use multispectral imagery for remote sensing data analysis.
Long-term objective: Acquisition of a methodology and knowledge of various tools for applying GIS analysis in various environmental studies.
Course Prerequisites
Basic knowledge in informatics, windows operating system, windows office (excel). Compulsory is the successful exam in L34 Physical Geography and Cartography as well as in Geomorphology
Teaching Methods
Theoretical Lectures with power point presentations and exercises on PC
Assessment Methods
The final exam will consist of few oral questions and an exercise made at the PC on QGIS (40% each). The questions will focus on the theoretical aspects seen in the course or on the exercises made in class. The exam exercise will be similar to those made during the course, and you will be able to keep the course notes with you. The final mark will consider also the exercises made during the course, and the questions within (20%). The final grade will be averaged with the mark got in the Remote Sensing module.
Introduction to the Geographic Information Systems (GIS), Coordinate Reference Systems, Geoid vs. Ellipsoid representation. Vectors and Rasters, advantages and disadvantages. Vectors - basic operations (Add Vectors, adding vectors from files, Create, edit and query a vector, digitalization, interpolation, topographic profiles). Complex operations with raters and vectors (interpolation of paleo-surfaces, differential digital elevation models, quantitative analysis of geomorphic change). Terrain analysis – Main morphometric properties and primary topographic indexes, Hydrologic properties: flow direction and flow accumulation, Watershed and drainage system delineation. Complex Topographic indexes (built-in functions and raster calculator). Spatial analysis and expressions – Extrapolate raster values, extrapolate based on expressions, evaluation of results. Remote sensing – Basic information and multispectral images, Applications (Visualization of different bands, Mathematical operation with different bands, common indexes) Visualization – Layout map, Colors, Map Elements, Layout in QGIS