Syllabus

Topic Week Date Chapters
Vegetation spectroscopy 1 15.10.25 1  First steps, 2  Data structures
Vegetation spectroscopy 2 22.10.25 4  Data wrangling, 8  Simulating spectra
Vegetation spectroscopy 3 29.10.25 3  Graphics, Apply, 9  Field spectra
Fraction mapping 4 05.11.25 6  Raster data
Fraction mapping 5 12.11.25 10  Quantitative mapping
Fraction mapping 6 19.11.25 11  Quantitative accuracy
Transformations 7 26.11.25 12  Tasseled cap
Transformations 8 03.12.25 13  Principal Component Analysis
Transformations 9 10.12.25 7  Vector data, 14  Classification
Lidar remote sensing 10 17.12.25 Functions, 15  Lidar data
Lidar remote sensing 11 07.01.26 16  Biomass mapping
Lidar remote sensing 12 14.01.26 17  Model selection
Vegetation phenology 13 21.01.26 18  Double-logistic model
Vegetation phenology 14 28.01.26 19  High-resolution phenology
Project work 15 04.02.26 Project work
Project work 16 11.02.26 Project work