Akademik Dersler - İçerik

0 : Does not support 1 : Low-level support 2 : Mid-level support 3 : Top level support

Learning Outcomes	1	2	3	4	5	6
Explains the basic concepts of remote sensing, data types, and their application areas in forest ecosystems.	3	2	1	1	1	1
Compares and evaluates the potential use of optical, radar, UAV, and terrestrial laser scanner data in forest remote sensing.	2	2	2	1	1	1
Selects appropriate data and methods for applications such as tree species classification, phenology monitoring, drought assessment, and fire monitoring in forest areas.	3	3	3	2	1	1
Applies basic image processing, feature extraction, and machine learning approaches in the analysis of forest remote sensing data.	3	3	3	2	2	2
Interprets field observations and measurements together with remote sensing data collected during field studies.	3	3	3	3	3	3
Presents the findings of forest remote sensing studies in written, oral, and visual formats.	2	2	2	3	3	3