The student will understand the possibilities and restrictions of different remote sensing techniques and their applications in forest inventory.

Application of laser scanning and satellite images in forest inventory, physically based remote sensing, photogrammetry, and radars.

Lectures and video lectures (24 h), exercises (16 h), exam in Moodle or electronic exam kamu.uef.fi/en/student-book/electronic-exam-facilities/.

Maltamo, M., Næsset, E. & Vauhkonen, J., Forestry applications of airborne laser scanning : concepts and case studies, 2014.

Maltamo, M., Næsset, E. & Vauhkonen, J., Forestry applications of airborne laser scanning : concepts and case studies, 2014. Pages 1-11, 89-108, 215-250.

Lillesand, T., Kiefer, R. & Chipman, J., Remote sensing and image interpretation, 7th ed., 2015. Pages 147-217, 385-484.

Jones, H.G. Vaughan, R.A., Remote sensing of vegetation : principles, techniques, and applications, 2010. Pages 7-35, 163-225

Lecture and exercise handouts.

Exam. Successful completion of exercises will provide bonus points. Grading 0-5. 

Senior researcher of Forest Mensuration Science, visiting lecturers.

Forest mensuration (3511007), Introduction to remote sensing (3512006), Geographical information systems/gApplied Geoinformatics 1  (3510005), R language (3622223) or comparable knowledge. Basic understanding of multivariate regression analysis.

Every other year (spring 2022, 4rd period).

Finnish and international students.

Joensuu

The language of instruction for the course is English.