Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

103-0128-00L  Remote Sensing Lab

SemesterSpring Semester 2018
LecturersE. Baltsavias
Periodicityyearly recurring course
Language of instructionEnglish


AbstractThis course focuses mainly on photogrammetric processing and classification of optical and especially multispectral satellite images with practical work and own programming.
ObjectiveThe aims of this course are:
- the main aim is practical photogrammetric processing and classification of optical and especially multispectral satellite images using mostly own programming in MATLAB and commercial software tools.
- some theoretical background will be provided, in addition to other ETHZ courses mentioned below (mainly given in Bachelor).
- further developing skills in report writing and presentations.
ContentThe lecture builds on the courses Erdbeobachtung (Earth Observation), Photogrammetrie, Photogrammetrie II, Image Interpretation and Bildverarbeitung (Image Processing). The focus is on practical work and use of programs with optical satellite data.

The work is composed of two large labs. In the first, the main photogrammetric processing chain from preprocessing to visualisation is treated. In the second, the focus is on various multispectral classification techniques and their comparison.
Lecture notesTeaching material will be made available on the dedicated moodle page.
Prerequisites / NoticePersons without sufficient knowledge of remote sensing, photogrammetry and image processing, should first contact the lecturer and get permission to attend the course. Students should preferably have a basic knowledge of MATLAB programming or being willing to acquire it through self-study.