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651-4257-00L 6 Credits MSC D-ITET , D-ERDW , D-MAVT , D-PHYS
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Advanced Technologies and Methods in Active Remote Sensing (University of Zurich)

No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: GEO443 Prerequisite: Remote Sensing Methods (UZH Module Code: GEO0371) Mind the enrolment deadlines at UZH:
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Last Updated: 2026-06-01 11:31:08

Abstract

This module introduces advanced remote sensing methods and techniques to interpret and analyse RADAR and LiDAR data. The variety of topics covered in this module begin with image focussing, move through geometric and radiometric data processing, as well as interferometric and polarimetric evaluations.

Objective

The aim of the module is to give students a thorough understanding of the concepts, principles and processing of SAR and LiDAR data. Students will be able to carry out typical workflows in data processing and product generation. They will also be able to assess the quality of data products and understand the nature of errors that can affect the datasets. Students will acquire both theoretical and practical knowledge and understanding of aerial and satellite SAR imagery and LiDAR point cloud data. They will be able to derive solutions to problems presented and will have an understanding of applications including associated limitations.

Content

The module provides students with the skills to use state of the art software tools (e.g. SNAP, Matlab) to process data sets and develop new tools within existing frameworks. Examples of SAR applications treated include glacier and volcano monitoring, as well as height estimation using interferometry. Laser scanning exercises are focused on understanding LiDAR intensity, terrain model creation and their respective uncertainties and terrestrial laser scanning methods and applications. The module is composed of the lecture GEO 443.1, which teaches the underlying principles, and the exercise GEO443.2, which conveys important methods and skills of data processing and analysis.

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
graded semester performance
Anmeldemodalitäten, Datum und Ort dieser Leistungskontrolle werden ausschliesslich von der UZH festgelegt.

Course Components

Type Title Time & Place Hours
lecture Advanced Technologies and Methods in Active Remote Sensing (University of Zurich)
**Course at University of Zurich**
No time listed 2 h weekly
exercise Advanced Technologies and Methods in Active Remote Sensing (University of Zurich)
**Course at University of Zurich**
No time listed 2 h weekly

Offered In