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SAR, Interferometry
Course description sheet

Basic information

Field of study
Geospatial Computer Science
Major
Remote Sensing and GIS
Organisational unit
Faculty of Geo-Data Science, Geodesy, and Environmental Engineering
Study level
Second-cycle (engineer) programme
Form of study
Full-time studies
Profile
General academic
Didactic cycle
2024/2025
Course code
DGEITGS.IIi2.07231.24
Lecture languages
English
Mandatoriness
Obligatory
Block
Major Modules
Course related to scientific research
Yes
Course coordinator
Wojciech Witkowski
Lecturer
Natalia Borowiec, Wojciech Witkowski
Period
Semester 2
Method of verification of the learning outcomes
Exam
Activities and hours
Lectures: 15
Project classes: 30
Number of ECTS credits
4

Course's learning outcomes

Code Outcomes in terms of Learning outcomes prescribed to a field of study Methods of verification
Knowledge – Student knows and understands:
W1 surface deformation processing GEI2A_W03, GEI2A_W04 Examination
Skills – Student can:
U1 work with SAR images; ;analyze displacement field GEI2A_U03, GEI2A_U05 Project
U2 analyse and present result in GIS system GEI2A_U07 Project
Social competences – Student is ready to:
K1 work in a team; discuss and express own ideas GEI2A_K04 Involvement in teamwork

Student workload

Activity form Average amount of hours* needed to complete each activity form
Lectures 15
Project classes 30
Preparation for classes 21
Realization of independently performed tasks 12
Examination or final test/colloquium 2
Preparation of project, presentation, essay, report 20
Student workload
Hours
100
Workload involving teacher
Hours
45

* hour means 45 minutes

Program content

No. Program content Course's learning outcomes Activities
1. Radar history, sensor characteristics
Synthetic aperture radar processing, image formation, SAR interferometry
Coherence, Signal to Noise Ratio, source of decorrelation
Measurement of surface topography, topographic algorithms, application examples
Data analysis and interpretation for deformation monitoring, Decomposition of the displacement vector, Corner reflector
Velocity measurements, ocean applications, surface deformation measurements, earthquakes and volcanoes
Modern processing algorithms
W1, U1 Lectures
2. SAR image interpretation
Introduction to InSAR technique: discussing of opportunity for application, case study presentation, basic task in InSAR tools processing.
Advanced InSAR processing: introduction to phase unwrapped, LOS and vertical displacement analyzed, analyzed results in GIS system.
U1, U2, K1 Project classes

Extended information/Additional elements

Teaching methods and techniques :

Group work, Lectures

Activities Methods of verification Credit conditions
Lectures Project, Examination
Project classes Project, Involvement in teamwork

Rules of participation in given classes, indicating whether student presence at the lecture is obligatory

Lectures: Studenci uczestniczą w zajęciach poznając kolejne treści nauczania zgodnie z syllabusem przedmiotu. Studenci winni na bieżąco zadawać pytania i wyjaśniać wątpliwości. Rejestracja audiowizualna wykładu wymaga zgody prowadzącego. Project classes: Studenci wykonują prace praktyczne mające na celu uzyskanie kompetencji zakładanych przez syllabus. Ocenie podlega sposób wykonania projektu oraz efekt końcowy.

Literature

Obligatory
  1. 1. Ramon F. Hanssen (2001) Radar Interferometry: Data Interpretation and Error Analysis
  2. Springer Science & Business Media
  3. 2. Hein A. (2004) Processing of SAR Data, Springer
  4. 3. Parker A.L. (2017) InSAR Observations of Ground Deformation, Springer

Scientific research and publications

Publications
  1. Evaluation of the Sentinel-1A radar interferometry accuracy applied in mining areas / Wojciech T. WITKOWSKI, Agnieszka MALINOWSKA, Ryszard HEJMANOWSKI // Przegląd Górniczy ; 2017
  2. Study of dynamic displacement phenomena with the use of imaging radars from the Sentinel mission / Agnieszka MALINOWSKA, Wojciech WITKOWSKI, Artur GUZY, Ryszard HEJMANOWSKI // Zeszyty Naukowe Instytutu Gospodarki Surowcami Mineralnymi i Energią PAN, 2017