Topic outline

  • Course dates: April 16 - May 29, 2019
    Lectures: on Tuesdays and Wednesday (10 am – 12 pm)
    Credits: 5 credits (~135 hours of work in seven weeks)

     

    WEEK 1: THEORY
    Course introduction, review of radiometric concepts, radiative transfer theory
    Lectures on Tue & Wed
    Assignment #1 (radiometric calculations, independently)

     

    WEEK 2: MODELS
    Spectral modeling, physically-based models and inversion
    Lecture on Tue, instructions for assignment on Wed
    Assignment #2 (satellite data simulations, independently)

     

    WEEK 3: CLOUD SERVICES
    Hands-on session on Google Earth Engine on Tue: bring your own laptops! CANCELLED (teacher sick)
    Assignment #3 (start writing a learning log, independently)

    No lecture on Wed (May 1) due to Vappu

    WEEK 4: ONLINE AND REFERENCE DATA
    Lecture on spectral data analysis and instructions for assignment #4 on Tue
    Spectral measurements in small groups (sessions on Tue-Fri, 2 hours per group)
    Assignment #4 (collecting and analyzing spectral data, in groups and independently)

    Hands-on session on internet resources in remote sensing on Wed: bring your own laptops!
    Assignment #3 (start writing a learning log, independently)

    Rescheduled hands-on session on Google Earth Engine on Thursday (8-10 am): bring your own laptops!
    Assignment #3 (finish writing a learning log, independently)


     WEEK 5: APPLICATIONS
    Satellite data in climate change research: focus on global radiation budget & albedo (lecture on Tue)
    Support session for assignments (voluntary, on Wed)

     

    WEEK 6: APPLICATIONS
    Seminar on Tue & Wed
    Assignment #5 (students’ presentations on RS applications)

     

    WEEK 7: EVALUATION
    Exam (voluntary) on Tue (28 May) 12.00 - 2.00 pm
    Feedback session on Wed (29 May) (10.15 - 11.15 am)