First year at Univeristy of Göttingen: Module 5
Remote sensing image processing with open source software
Course objectives: Knowledge and command of digital image processing principles and its application with the open source software GRASS.
Course contents: This module is designed as an introduction to remote sensing image processing. Students are provided with an overview of the range techniques that may be used in such an exercise: (i) Linux / Unix basics, (ii) Theory of map projections, geodetic data, (iii) GRASS Basics, (iv) Preparation of basic information, (v) Georeferencing of raster maps as basic information, (vi) Visualising Imagery, (vii) Introduction to raster algebra with r.mapcalc, (viii) 3-D-Visualisation with NVIZ, (ix) Digitising with GRASS, (x) Working with vector data, (xi) Format transformation, (xii) Data interpolation, (xiii) Image enhancement and classification (xiv) Application in forest inventory and wildlife management, )xv) Systematic sampling using aerial photographs, (xvi) Example application in change detection, and (xvii) Hardcopy production.
Teaching and learning methods: The entire course is an interactive blend of lecturing and labs. Students are encouraged to bring their own notebook computer for installation of the open source software.
Examination: Oral exam, 30 min.
Competences acquired: By the end of the module the student should be able to use the open source software GRASS, for his/her specific purposes, for image processing and GIS applications.