Credits: 5

Schedule: 16.04.2019 - 28.05.2019

Teacher in charge (valid 01.08.2018-31.07.2020): 

Miina Rautiainen

Teaching Period (valid 01.08.2018-31.07.2020): 

V

Learning Outcomes (valid 01.08.2018-31.07.2020): 

To understand the physical principles of optical remote sensing and to evaluate remote sensing methods based on them. To be able to describe the remote sensing process through physically-based reflectance modeling.To be able apply hyper- and multispectral data in environmental monitoring. To be familiar with global satellite-based products and their development. To be able to develop remote sensing methods to monitor the global environment and climate change. To be familiar with upcoming trends in Earth observation.

Content (valid 01.08.2018-31.07.2020): 

The course provides a deep insight to modern optical remote sensing and its applications in global monitoring of the environment and climate. The course covers hyperspectral and multispectral remote sensing techniques, physical modeling and global remote sensing methods.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

The course is composed of lectures, assignments and a seminar. The students' performance is assessed based on assignments, seminar presentations and an exam. All students must be present in the first lecture.

Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (applies in this implementation): 

The course assessment is based on five assignments and a voluntary written
exam
.  The assignments will account for max 85 points and the written
exam for 15 points. This means that you need to dedicate a considerable amount
of time to assignments (outside the lectures) during the course -- the expected
workload of the course is 135 hours. The assignments have been designed so that
they develop different skills Earth observation experts need: writing skills,
data analysis skills, modeling skills, presenting skills, … A minimum of 50
points is required to pass the course.

There is a possibility to earn up to 15 bonus points from small extra assignments.

If you hand in an assignment late, five points per day will be deducted
from the points you would have obtained had you handed in the assignment on
time.


Workload (valid 01.08.2018-31.07.2020): 

Lectures 16 h, assignments and seminar presentation 85 h, independent study 30 h, exam 2 h

Study Material (valid 01.08.2018-31.07.2020): 

Will be announced at the beginning of the course.

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Maa-57.3210 Kaukokartoitusaineiston luokittelu ja mallintaminen (4 op) and Maa-57.3200 Tutkakuvat kaukokartoituksessa (3 op)

Course Homepage (valid 01.08.2018-31.07.2020): 

https://mycourses.aalto.fi/course/search.php?search=GIS-E3050

Prerequisites (valid 01.08.2018-31.07.2020): 

GIS-E1040 Photogrammetry, laser scanning and remote sensing OR ELEC-4510 Earth observation, OR similar knowledge and skills.

Grading Scale (valid 01.08.2018-31.07.2020): 

0-5

Registration for Courses (valid 01.08.2018-31.07.2020): 

Weboodi

Description

Registration and further information