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Remote Sensing Lab
Last Updated: 2026-02-05 15:55:11
Abstract
This course focuses mainly on photogrammetric processing and classification of optical and especially multispectral satellite images with practical work and own programming.
Objective
The 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 PYTHON and less 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.
Content
The 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.
Resources
Lecture Notes
Teaching material will be made available on the dedicated moodle page.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Remote Sensing Lab
Permission from lecturers required for all students.
Persons 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 PYTHON programming or being willing to acquire it through self-study.
|
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2 h weekly |