•   GIS and Remote Sensing Tools 5E00EK91-3001 30.08.2021-17.12.2021  5 cr  (19IENVE) +-
    Learning outcomes of the course unit
    After completing this course student:
    - knows and understand the processing, storage and analysis of spatial information using geographical information systems GIS
    - knows how to apply GIS in practical situations in ecological landscape planning and monitoring of the state of the environment
    - can interpret aerial photographs and make maps using relevant methods
    Course contents
    Principles of GIS and remote sensing tools and applications in land use planning and making and interpreting maps
    Name of lecturer(s)

    Hilda Szabo

    Recommended or required reading

    Lecture documents will be available in Moodle course.
    Other materials:
    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).
    contact teaching
    Wise, S. 2013 GIS Fundamentals
    Heywood, Sarah Cornelius and Steve Carver. An introduction to geographical information systems. Harlow : Prentice Hall, 2002.
    QGIS Help
    QGIS videos in You Tube

    Planned learning activities and teaching methods

    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.

    Assessment methods and criteria

    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 1-5
    Remote sensing (drone mapping, laser scanned data) issues will cover 20% of the whole grade, questions will be included in the GIS Moodle exam.

    Language of instruction

    English

    Timing

    30.08.2021 - 17.12.2021

    Registration

    02.08.2021 - 06.09.2021

    Credits

    5 cr

    Group(s)

    19IENVE

    Teacher(s)

    Kalle Tammi, Mari Oja

    Further information for students

    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).

    Unit, in charge

    Environmental Engineering

    Degree programme(s)

    Degree Programme in Energy and Environmental Engineering

    Office

    TAMK Main Campus

    Evaluation scale

    0-5

    Training and labour cooperation

    The course exercises are related to the skills that environmental engineers commonly need in their working life.

    Exam schedule

    7.12.2021 Moodle exam
    14.12.2021 Retake, Moodle exam

    Students use of time and load

    Contact teaching and guided computer excercises approximately 50 h, self-study and excercises approximately 85 h. Total approximately 135 h.

    Content periodicity

    Baisc of GIS, QGIS programme
    Remote Sensing data, aerial images, satellite images, point cloud data, DEM, DSM, DTM
    Laser scanning
    Drone mapping
    Satellite positioning
    Coordinate systems
    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

    Assessment criteria
    Not approved

    The student does not reach the level of satisfactory or does not do the exam neither the reports

    Satisfactory

    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

    Good

    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

    Excellent

    The student can apply previous mentioned skills and elementary analysis tools in problem solving.