Course syllabus
Course-PM
RRY057 Electromagnetic sensor systems lp3 VT24 (7.5 hp)
Course is offered by the department of Space, Earth and Environment
Excercise classes: Tuesday 13.15-15
Lectures: Tuesday 15.15-17, Thursdays 13.15-15, and Fridays 13.15-15
Laboratory exercises: Course week 4 and 7
Resp teacher: Johan Mellqvist (johan.mellqvist@chalmers.se), tel 0703088777
Start, Tuesday Jan 17, 2023, 13.15 SB3-L113
Location: See time edit (usually Room SB3-L113)
Contact details
Johan Mellqvist (examinator), johan.mellqvist@chalmers.se
Peter Forkman (lectures), peter.forkman@chalmers.se
Leif Eriksson (lectures), leif.eriksson@chalmers.se
Albert Monteith (lectures and lab excercise), albert.monteith@chalmers.se
Maxime Prignon (lab exercise), maxime.prignon@chalmers.se
Guest lectures:
Henrik Eliasson, Volvo Cars AB (Automotive LIDAR) TBC
Christoffer Widahl, Emerson (Radar in industry applications)
Samuel Brohede, FluxSense AB, (Optical remote measurements of gas emissions from oil and gas production)
Course purpose
In recent years, the demand for electromagnetic sensors has increased dramatically,from applications in cars (e.g. collision sensors) to advanced satellite instruments that monitor changes in the environment, weather and climate. This development will continue, with the demand for both smaller and cheaper electromagnetic sensors, which can be mass produced, as well as advanced satellite sensors that measure accurately with high spatial resolution. These technologies create large amounts of complex data and it is very challenging to convert them into useful and reliable data. This requires good physical understanding as well as knowledge in signal processing and data management and here machine learning very useful. The aim of the course is to provide an overall understanding of the above parts, with special emphasis on the physical and instrumental principles that underlie the measurements. A basic understanding of the possibilities and limitations of different electromagnetic sensor types and knowledge of the main applications is also provided. This knowledge will enable work on the design of sensor systems and provide a basis for further studies in the subject.
Course literature
Literature: W,G, Rees, 2013, Physical principles of Remote Sensing , 3rd edition (available at Cremona, Chalmers store) handouts and compendia that are provided free of charge (found in folder files/ folder)
Course design
The course includes 14 lectures, 3 guest lectures, 7 problem solving classes and 2 laboratory exercises .
Changes made since the last occasion
Learning objectives and syllabus
Learning objectives:
- Distinguish and explain the most important physical processes that affect measurements in different wavelength ranges. This includes performing calculations for simpler model systems.
- Get an overview and insight into different types of electromagnetic sensor systems and the platforms from which they can be used.
- Describe data evaluation, from measurement to geophysical product.
- Provide examples of useful external data.
- Demonstrate an understanding of how data can be extracted from observations.
- Discuss simple quantities that describe the measurements, such as coverage, resolution in time and space, and predominant random and systematic errors.
Link to the syllabus on Studieportalen.
Examination form
Written/Oral exam (form to be decided during course) (6 credit points ) and 2 compulsory laboratory exercises (Radar and Passive infrared measurements a) (1.5 credit points). The final grade is solely based on exam results
Academic integrity
To make sure we get the best possible academic climate in the course, the course expects each student to respect the following points:
* Hand-in problems are individual. This means that each student should solve the problems,
write necessary computer code and report the result without direct help from fellow students or anyone else. Discussions about general topics related to the hand-in problems are encouraged between students.
* The projects are group work. This means the group together work towards a solution and
report the findings in a joint report which is individual for each group (see above for meaning of individual).
* When reporting solutions in writing, copying text from books, Internet or from other sources(like your fellow students) without referring to the source is not an accepted behavior and is not allowed.
* Students whom are suspected not to respect the rules of academic integrity will be reported to the President of Chalmers and risk possible disciplinary actions.
Schedule
(Always double check with time edit )
WEEK 1
Course introduction (Lecture Johan Mellqvist)
2024-01-16 (Tue), 13:15 – 15:00: Room SB3-L113
All Course overview and practicalities. Presentation of involved teachers
Basic concepts and considerations (Lecture Johan Mellqvist)
2024-01-16 (Tue), 15:15 – 17:00, Room SB3- L113
What is it all about 😊, chapter 1. Theory about electromagnetic waves in free space: Polarisation and coherence. Flux and radiance. Blackbody and solar radiation. Reading instruction: Chapter 2.1, 2.2 2.5, 2.
Interaction between EM waves and matter (Lecture Johan Mellqvist)
2024-01-19 (Fri) 13:15 – 15:00, Room SB3-L113
Complex refractive index and absorption length. Surface reflections and BRDF. Attenuation and the Beer-Lambert law. Book section 3.1-3.3 (3.1-3.3).
WEEK 2
Properties of the atmosphere (Lecture Johan Mellqvist)
2024-01-23 (Tue), 13:15 – 15:00, Room SB3- L113
Structure and composition of the atmosphere. Impact of molecules, aerosols, clouds and precipitation. Refraction and turbulence. The ionosphere. Book section 3.4 and 4 (3.4.2 and 4)
Remote sensing and radiation (Problem solving Johan Mellqvist)
2024-01-23 (Tue), 15:15 – 17:00, Room SB3- L113
Optical remote sensing systems ( Lecture Johan Mellqvist)
2024-01-25 (Thu), 13:15 – 15:00, Room ED-ES53
Hardware used for optical remote sensing (ORS) measurements. This includes spectrometers, lasers, photomultipliers, diodes, CCDs, prisms and diffraction gratings used. Parts of book section 6 (6) + extra material
Industrial leakage measurements using optical remote sensing
( Guest Lecture Samuel Brohede Fluxsense)
2024-01-25 (Thu), 15:15 – 17:00, Room EDIT ES 53
Spectroscopic measurements using IR and UV (Lecture Johan Mellqvist)
2024-01-26 (Fri), 13:15 – 15:00, Room SB3- L113
Principle. Applications from ground and from space. Parts of book section
WEEK 3
Radiative transfer (Problem solving Johan Mellqvist)
2024-01-30 (Tue), 13:15 – 15:00, Room SB3- L113
Application of lasers for distance, speed and concentration.
(Lecture Johan Mellqvist)
2024-01-30 (Tue), 15:15 – 17:00, Room SB3- L113
LIDAR, DEMO of LIDAR sensor, wind LIDAR, topography, bathymetry, DIAL
Optical systems (Problem solving Johan Mellqvist)
2024-02-01 (Thus), 13:15 – 15:00, ED ES53
Basic Radar systems (Lecture Leif Eriksson)
2024-02-02 (Fri), 13:15 – 15:00, Room SB3- L113
Radar principles, radar cross section, radar equation, range resolution. Scatterometry. Book sections 9.2-9.3 (9.3-9.4).
WEEK 4
Passive infrared measurements Group 1 (Lab exercise Maxime Prignon)
2024-02-05 (Mo) 13-17 ORS laboratory
Passive infrared measurements Group 2 (Lab exercise Maxime Prignon)
2024-02-08 (Thu) 9-12 ORS laboratory
Imaging radar (Lecture Leif Eriksson)
2024-02-08 (Thu), 13:15 – 15:00, Room ED EL42
Real aperture radar, imaging geometry, geometric distortions, azimuth resolution. SAR principles. Book sections 9.4-9.5 (9.5-9.6)
Radar (Problem solving Leif Eriksson)
2024-02-08 (Thu), 15:15 – 17:00, Room ED EL 42
Passive infrared measurements Group 3 (Lab exercise Maxime Prignon)
2024-02-09 (Fri) 9-12 ORS laboratory
Synthetic aperture radar and applications (Lecture Leif Eriksson)
2024-02-09 (Friday), 13:15 – 15:00, Room SB3- L113
Speckle. Range ambiguity. SAR Interferometry. SAR applications
WEEK 5
Passive infrared measurements Group 4 (Lab exercise Maxime Prignon)
2024-02-12 (Mo) 13-17 ORS laboratory
Short range Radar (Lecture Albert Monteith)
2024-02-13 (Tue), 13.15 – 15:00, Room MC
Preparation for lab exercise and description of short range radar for autonomous vehicles. Hardware
Radar and SAR (Problem solving Albert Monteith)
2024-02-13 (Tue) 15:15 – 17:00, Room MC
LIDAR for self driving cars (Guest Lecture Henrik Eliasson Volvo Cars)
2024-02-16 (Fri, 13:15 – 15,00 Room ED EL41
A walkthrough of the use of sensors for active safety and autonomous driving applications at Volvo Cars. There will be a general overview for automotive sensing applications and a deep dive into lidar technology
WEEK 6
Satellite Imaging systems (Lecture Johan Mellqvist)
2024-02-20 (Tue), 13:15 – 15:00, Room SB3- L113
Satellite and airborne surveillance, spectral and spatial resolution. Main optical, IR and applications. Atmospheric correction
Optical systems II Problem solving Johan Mellqvist
2024-02-20 (Tue), 15:15 – 17:00, SB3-L113
Radar in industry applications
(Guest Lecture Christoffer Widahl and field trip to Emerson)
2024-02-22 (Thu), 13:15 – 17:00
How Radar is used for level, distance, volume and other measurements in industry applications. Basic principles, signal processing, industry specific challenges and future applications
Microwave measurement and satellite observations I
Lecture Peter Forkman
2024-02-23 (Fri), 13:15 – 15:00, Room ED EL42
WEEK7
Radar, Group I (Lab exercise Albert Monteith )
2024-02-26 (Mo), 13.15-16, ED EM lab
Radar, Group 2 (Lab exercise Albert Monteith )
2024-02-27 (Tue), 09-11.45, ED EM lab
Microwave measurement and satellite observations II
(Lecture Peter Forkman)
2024-02-27 (Tue), 13:15 – 15:00, Room SB3- L113
Radar, Group 3 (Lab exercise Albert Monteith)
2024-02-28 (We), 09-11.45, ED EM lab
Radar, Group 4 (Lab exercise Albert Monteith)
2024-03-01 (Fri), 09-11.45, ED EM lab
WEEK 8
Microwave measurement and satellite observations
(Problem solving Peter Forkman)
2024-03-05 (Tue), 13:15 – 15:00, Room SB3- L113
Wrapup Optical remote sensing (Lecture Johan Mellqvist)
2024-03-05 (Tue) 15.15-17 Room SB3- L113
Wrapup Radar ( Lecture Leif Eriksson)
24-03-07 (Thu) 13.15-15 Room ES 52
Exam 2024-03-15 afternoon
Course summary:
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