Akademik Dersler - İçerik

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