Othmar Frey: Katalogdaten im Herbstsemester 2017

NameHerr Dr. Othmar Frey
Adresse
Institut für Umweltingenieurwiss.
ETH Zürich, HIF D 12.1
Laura-Hezner-Weg 7
8093 Zürich
SWITZERLAND
Telefon+41 44 633 41 78
E-Mailfrey@ifu.baug.ethz.ch
URLhttp://www.eo.ifu.ethz.ch/the-group/people/person-detail.html?persid=64837
DepartementBau, Umwelt und Geomatik
BeziehungDozent

NummerTitelECTSUmfangDozierende
102-0627-00LApplied Radar Remote Sensing for Environmental Parameter Estimation3 KP2GI. Hajnsek, V. Brancato, O. Frey
KurzbeschreibungThe course is providing practical exercises for the use of Radar Remote Sensing, specifically Synthetic Aperture Radar (SAR) to estimate environmental parameters.
LernzielThe course should enable the independent use and handling of SAR data for environmental parameter estimation. At the end of the course the student has the ability to:
1. Read and display multi-parametric SAR data
2. Apply and pre-process SAR data (speckle filtering, polarimetric and interferometric processing steps)
3. Derivation of bio/geophysical environmental parameter
InhaltThe main focus of the course is the handling of multi-parameter SAR data for environmental parameter estimation with the following content:
1. Read and display multi-parametric SAR data
2. Application of different speckle filtering techniques
3. Derivation of the coherency and covariance matrix
4. Application of polarimetric correlation functions
5. Application of different decomposition techniques
6. Generation of a polarimetric SAR interferometry data set from a simulated forest
7. Processing of the polarimetric SAR interferometry data set
8. Estimation of environmental parameters (segmentation, soil moisture estimation, forest height estimation, etc.)
SkriptHandouts for each topic will be provided.
LiteraturFirst readings for the course:
1. Woodhouse, I.H., Introduction into Microwave Remote Sensing, CRC Press. Taylor & Francis Group, 2006.
2. Lee, J.-S., Pottier, E., Polarimetric Radar Imaging: From Basiscs to Applications, CRC Press. Taylor & Francis Group, 2009.
Voraussetzungen / BesonderesThis course in combination with 102-0617-G: Basics and Principles of Radar Remote Sensing provides the basis for an independent handling of multi-parametric SAR data. The content of this course is offering to apply the theory to practical excersises using MATLAB and the free software PolSARPro.