COURSE UNIT TITLE

Offered By

Environmental Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR TOLGA ELBIR

Offered to

Environmental Engineering

Course Objective

This course aims to provide students with theoretical and practical knowledge on monitoring air pollutants using remote sensing methods. It will introduce satellite-based air quality observation systems and teach how various gaseous and particulate air pollutants can be analyzed through remote sensing. Additionally, applications for processing satellite data using Google Earth Engine will be conducted. Students will be able to evaluate air pollution's spatial and temporal variations by comparing remote-sensing data with ground-based measurements.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Meei, C., Gross, B., Wu, Y., & Moshary, F. (2011). Application of Remote Sensing Instrument in Air Quality Monitoring. In Air Quality Monitoring, Assessment and Management. InTech. https://doi.org/10.5772/16904

Chudnovsky, A. A. (2021). Monitoring Air Pollution in the Urban Environment by Remote Sensing. In Urban Remote Sensing (pp. 391 422). Wiley. https://doi.org/10.1002/9781119625865.ch18

Perrin, A., ben Sari-Zizi, N., & Demaison, J. (Eds.). (2006). Remote Sensing of the Atmosphere for Environmental Security. Springer Netherlands. https://doi.org/10.1007/978-1-4020-5090-9

Costa, M. J., & Bortoli, D. (Eds.). (2022). Air Quality Research Using Remote Sensing. MDPI. https://doi.org/10.3390/books978-3-0365-5894-3

Planned Learning Activities and Teaching Methods

Lectures (Theoretical Presentations): Delivering fundamental knowledge on remote sensing, air pollution monitoring methods, and satellite-based observation systems.

Practical Sessions: Processing and analyzing remote sensing data using Google Earth Engine.

Visual and Interactive Materials: Visualization of satellite images, maps, and air pollution data analyses.

Project and Case Studies: Examining real-world cases such as urban air pollution, wildfires, or transboundary air pollution transport using remote sensing.

Individual and/or Group Studies: Enable students to conduct data analyses and develop air pollution monitoring projects.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

Exams and assignments

Language of Instruction

Turkish

Course Policies and Rules

The course will be conducted in the computer laboratory.

Students are expected to attend classes regularly. Attendance will be considered in the final evaluation.

Students will receive lecture notes, presentations, and additional resources via SAKAI. Students are encouraged to review course materials in advance.

Practical sessions require active participation, including data analysis and Google Earth Engine mapping. Individual or group projects will be conducted as part of the course.

Assignments must be submitted by the specified deadlines; late submissions may result in point deductions.

Contact Details for the Lecturer(s)

Dokuz Eylül Üniversitesi
Mühendislik Fakültesi
Çevre Mühendisliği Bölümü
Merkez Yerleşkesi
35390 Buca/IZMIR
Tel:232-3017133
E-mail: tolga.elbir@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes