Introduction to remote sensingLaajuus (4 cr)

Objective

This study unit is taught in Finnish. The translation has not been updated after 31 July 2025. Please change the language to Finnish in Peppi and read the description in Finnish. The student will be able to • identify the basic materials and methods applied in remote sensing • understand how remote sensing is utilized in forest inventory • understand the main advantages and restrictions of remote sensing • interpret and analyze digital remotely sensed materials • construct and interpret statistical models for the prediction of forest attributes

Content

Physical fundamentals and basic concepts of remote sensing. Visual and numerical interpretation of digital aerial images, optical satellite images and airborne laser scanning. General principles of radar remote sensing. The use of remote sensing in forest inventory applications. The course develops the following generic skills: digitalization, critical thinking.

Qualifications

Recommended: Forest mensuration, Basics in Statistics, Basic course in R. 

Materials

Lecture and exercise notes.

Further information

The course is intended to be taken in 3rd year of the Finnish BSc forestry degree or as a part of forest sciences minor subject studies. The language of instruction is Finnish.

Execution methods

Multi-modal teaching.

Accomplishment methods

Video lectures (10 h), two meetings for asking questions (4 h), computer labs (10 h, from 1 August 2023 12 h) and exercises with video-assisted self evaluation. Moodle exam or electronic exam. Grading 0-5. Exam is 60%, labs and exercises 40% of the grade.