Lecture documents will be available in Moodle course.
Ebert, J I 2007, Chapter 3: Photogrammetry, Photointerpretation, and Digital Imaging and Mapping in Environmental Forensics, in: Murphy, B, & Morrison, R, Introduction To Environmental Forensics, Amsterdam: Academic Press. Available in the library's eBook Collection (EBSCOhost).
Wise, S. 2013 GIS Fundamentals
Heywood, Sarah Cornelius and Steve Carver. An introduction to geographical information systems. Harlow : Prentice Hall, 2002.
QGIS videos in You Tube
The teaching methods include contact teaching, distance teaching, GIS exercises, GIS coursework (individual), remote sensing equipment training, drone exercise (including GNSS data acquisition) on the field and data transfer into GIS, course exam. The exam will be carried out by solving spatial data management tasks in QGIS. The exam will contain also some questions concerning remote sensing issues.
Exam 50% : Open computer/book Moodle exam executed at TAMK in adp classroom by using QGIS, assessment grades1-5
Course work 30 %: compulsory, assessment grades Accepted/Failed
Remote sensing (drone mapping, laser scanned data) issues will cover 20% of the whole grade, questions will be included in the GIS Moodle exam.
29.08.2022 - 18.12.2022
02.07.2022 - 28.08.2022
Kalle Tammi, Mari Oja
The software in use on this course is QGIS. It is an open source software freely available in internet. Link for downloading in Moodle.
Drone mission planning with Pix4DCapture (IOS or Android).
Photogrammetric processing with Pix4DMapper software (class room license + free trial version available).
Point cloud visualisation and analysis by CloudCompare (open source software).
Degree Programme in Energy and Environmental Engineering
TAMK Main Campus
The course exercises are related to the skills that environmental engineers commonly need in their working life.
Contact teaching and guided computer excercises approximately 50 h, self-study and excercises approximately 85 h. Total approximately 135 h.
Baisc of GIS, QGIS programme
Remote Sensing data, aerial images, satellite images, point cloud data, DEM, DSM, DTM
Photogrammetric software and point cloud software.
Open spatial map data and download services (NLS and other sources)
Spatial data models, database management, visualization and thematic maps, searching functions, data entry, elementary proximity, basic analysing tools.
Environmental observations/change observations based on laser scanning and drone data
The student does not reach the level of satisfactory or does not do the exam neither the reports
The student can:
- download open file spatial data
- do the coordinate definitions
- separate vector and raster data from each others
- edit the appearance of the map objects and make thematic maps
- search map objects and save the results as separate files (layers)
- save and transfer data with GNSS device
- explain the properties of aerial/satellite images and point cloud data
The student can in addition to previous mentioned:
- edit map objects and update attribute data
- utilize searching functions for efficient use of spatial data
- produce vector data
- rectify raster images
- maintain data of different coordinate systems
- visualise remote sensing data
The student can apply previous mentioned skills and elementary analysis tools in problem solving.