LEARNING OUTCOMES
To understand the physical principles of optical remote sensing. To be able to describe the remote sensing process through physically-based reflectance modeling. To be able apply hyper- and multispectral data and global satellite-based products in environmental monitoring. To be familiar with upcoming trends in Earth observation.
Credits: 5
Schedule: 19.04.2022 - 01.06.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Miina Rautiainen
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
The course provides a deep insight to modern optical remote sensing and some of its applications in global monitoring of the environment and climate. The course covers hyperspectral and multispectral remote sensing, physical modeling and global remote sensing methods.
Assessment Methods and Criteria
valid for whole curriculum period:
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.
Workload
valid for whole curriculum period:
Lectures and independent study 52 h, assignments and seminar presentation 75 h, exam 6 h.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
13 Climate Action
15 Life on Land
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring V
2023-2024 Spring VEnrollment :
Registration for the courses via Sisu (sisu.aalto.fi).