Update mkdocs.yml

mkdocs/mkdocs.yml

@@ -1,5 +1,5 @@
 site_name: E-TRAINEE Course
-repo_url: https://github.com/3dgeo-heidelberg/etrainee
+repo_url: https://github.com/3dgeo-heidelberg/etrainee_heidelberg_2024
 docs_dir: ../course
 site_dir: ../site
 
@@ -42,27 +42,7 @@ nav:
     - 'Trajectory-based analysis': 'module1/04_trajectory-based_analysis/04_trajectory_based_analysis.md'
     - 'Spatio-temporal data fusion': 'module1/05_spatio_temporal_data_fusion/05_spatio-temporal_data_fusion.md'
     - 'Reference data, validation and accuracy assessment': 'module1/06_reference_data_validation_accuracy_assessment/06_reference_data_validation_accuracy_assessment.md'
-- 'Module 2':
-    - 'Overview': 'module2/module2.md'
-    - 'Principles of multispectral imaging' :
-        - 'Lesson' : 'module2/01_multispectral_principles/01_multispectral_principles.md'
-        - 'Exercise' : 'module2/01_multispectral_principles/01_multispectral_principles_exercise.md'
-    - 'Temporal information in satellite data' :
-        - 'Lesson' : 'module2/02_temporal_information/02_temporal_information.md'
-        - 'Exercise' : 'module2/02_temporal_information/02_temporal_information_exercise.md'
-    - 'Image processing' :
-        - 'Lesson' : 'module2/03_image_processing/03_image_processing.md'
-        - 'Exercise' : 'module2/03_image_processing/03_image_processing_exercise.md'
-    - 'Multitemporal classification' :
-        - 'Lesson' : 'module2/04_multitemporal_classification/04_multitemporal_classification.md'
-        - 'Exercise' : 'module2/04_multitemporal_classification/04_multitemporal_classification_exercise.md'
-    - 'Vegetation change and disturbance detection' :
-        - 'Lesson' : 'module2/05_vegetation_monitoring/05_vegetation_monitoring.md'
-        - 'Exercise' : 'module2/05_vegetation_monitoring/05_vegetation_monitoring_exercise.md'
-    - 'Case studies' :
-        - 'Case study: Monitoring tundra grasslands (Karkonosze/Krkonoše Mountains)': 'module2/06_cs_tundra_grasslands/06_cs_tundra_grasslands.md'
-        - 'Case study: Effects of pollution in Ore Mountains': 'module2/07_cs_forest_changes/07_cs_forest_changes.md'
-        - 'Case study: Forest disturbance detection (Tatra Mountains)': 'module2/08_cs_disturbance_detection/08_cs_disturbance_detection.md'
+
 - 'Module 3':
     - 'Overview': 'module3/module3.md'
     - 'Principles of 3D/4D geographic point clouds' :
@@ -83,26 +63,7 @@ nav:
     - 'Case studies' :
         - 'Multitemporal 3D change analysis at an active rock glacier' : 'module3/06_casestudy_rockglacier/06_casestudy_rockglacier.ipynb'
         - 'Time series-based change analysis of sandy beach dynamics' : 'module3/06_casestudy_sandybeach/06_casestudy_sandybeach.ipynb'
-- 'Module 4':
-    - 'Overview': 'module4/module4.md'
-    - 'Principles of imaging and laboratory spectroscopy':
-        - 'Lesson': 'module4/01_spectroscopy_principles/01_spectroscopy_principles.md'
-        - 'Exercise': 'module4/01_spectroscopy_principles/01_spectroscopy_principles_exercise.md'
-    - 'Airborne hyperspectral data acquisition and pre-processing':
-        - 'Lesson': 'module4/02_aerial_acquisition_preprocessing/02_aerial_acquisition_preprocessing.md'
-        - 'Exercise': 'module4/02_aerial_acquisition_preprocessing/02_aerial_acquisition_preprocessing_exercise_geometric.md'
-    - 'In situ and laboratory spectroscopy of vegetation':
-        - 'Lesson': 'module4/03_relating_imagery_lab_vegetation/03_navig.md'
-        - 'Exercise': 'module4/03_relating_imagery_lab_vegetation/03_spectra_probe_sphere_exercise.md'
-    - 'Machine learning in imaging spectroscopy':
-        - 'Lesson': 'module4/04_time_series_specifics/04_time_series_specifics.md'
-        - 'Exercise': 'module4/04_time_series_specifics/04_time_series_specifics_exercise.md'
-    - 'Temporal vs. spatial and spectral resolution':
-        - 'Lesson': 'module4/05_specific_resolution_contribution/05_specific_resolution_contribution.md'
-    - 'Case studies':
-        - 'Seasonal spectral separability of grass species (Krkonoše Mts.)': 'module4/08_spectral_separability_grass/08_spectral_separability_grass.md'
-        - 'Discrimination of grass species from time series of RPAS hyperspectral imagery': 'module4/06_Krkonose_tundra_grasslands/06_Krkonose_tundra_grasslands.md'
-        - 'Seasonal dynamics of flood-plain forests': 'module4/07_flood_plain_forest/07_flood_plain_forest.md'
+
 - 'Software':
     - 'CloudCompare': 'software/software_cloudcompare.md'
     - 'EnMAP-Box': 'software/software_enmap_box.md'
@@ -119,4 +80,4 @@ nav:
     - 'Tundra vegetation monitoring in Krkonoše Mountains': 'data_usecases/usecase_grasses_krkonose.md'
     - 'Forest disturbances in Ore Mountains (Czechia)': 'data_usecases/usecase_ore_mts_disturbance.md'
 - 'About the project': 'https://web.natur.cuni.cz/gis/etrainee/'
-- 'Feedback form': 'https://forms.gle/Cz1yxJv2DDNz83j68'
+- 'Feedback form': 'https://forms.gle/Cz1yxJv2DDNz83j68'