Study unit
3513029 Advanced Remote Sensing, 5 Cp  
Code 3513029  Validity 19.05.2010 -
Name Advanced Remote Sensing  Abbreviation AdReSen 
Credits 5 Cp Date of expiry  
TypeAdvanced Studies Subject0951 Forestry 
ClassStudy Unit  Hours  
Study right   Grading0-5 
Recommended scheduling 
   
Organisation Forest Sciences (J) 

Teachers
Name
Lauri Korhonen 

Study unit's general literature:
Author Title Year Obligatory library
Lecture and exercise materials.
     Maltamo, M., Næsset, E. & Vauhkonen, J.  Forestry applications of airborne laser scanning : concepts and case studies  2014  Obligatory library
     Additional information pages 1-11, 89-108, 215-250
     Lillesand, T., Kiefer, R. & Chipman, J.  Remote sensing and image interpretation, 7th ed.  2015  Obligatory library
     Additional information pages 147-217, 385-484
     Jones, H.G. Vaughan, R.A.  Remote sensing of vegetation : principles, techniques, and applications  2010  Obligatory library
     Additional information pages 7-35, 163-225


Description
Learning outcomes 

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

 
Content 

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

 
Modes of study 

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

 
Study materials 

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.

 
Evaluation criteria 

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

 
Teachers 

Senior researcher of Forest Mensuration Science, visiting lecturers.

 
Prerequisites 

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.

 
Time 

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

 
Offering data 

Finnish and international students.

 
Campus 

Joensuu

 
Further information 

The language of instruction for the course is English.

 


Letter (J, K) in front of the name of the course/exam indicates the campus on which teaching or exam takes place: J = Joensuu, K = Kuopio.

Present and future teaching
Functions Name Type Cp Teacher Timetable
Registration ended
J: Advanced Remote Sensing  Multi-modal teaching  5  Lauri Korhonen  15.03.22 -23.06.22

Future exams
Functions Name Type Cp Teacher Timetable
Registration ended Advanced Remote Sensing  General examination  5  Lauri Korhonen 
03.06.22fri 12.00-16.00
Register Advanced Remote Sensing  General examination  5  Lauri Korhonen 
12.08.22fri 12.00-16.00