M4 dev (#38)

* link references

* added mu

* download R code link

* linking downloadable R files

* mnf image + classification legend added

* mnf image + classification legend added

* plugin QGIS

* Update 06_Krkonose_tundra_grasslands.md

* example solution for Krkonose tunra case study - part 1

* example solution for Krkonose tunra case study - part 1

* Improved description

* added vid to self-evaluation quiz

* minor fixes

* example solution for geometric correction exercise

* example solution for geometric correction exercise

* example solution for geometric correction exercise

* example solution for geometric correction exercise

* Added temporary page for ml classificator exercises

* added spectra filtering tutorial - ver 1

* added spectra filtering tutorial - ver 2

* updated course structure

* equation fix

* tutorial update

* tutorial update

* QaA added - part 1

* QaA answers

* edit usecases

* spectra filtering exercise added link + modification

* typo

* typo

* added feedback form

* QaA solution

* QaA solution

* removed MNF part of script

* added Zenodo dataset links

* added datasets to readme

* dataset link fix

* grammar check

* grammar fix

* delete exercices

* Update module0.md

links to statistics resources

* Update module0.md

update statistic links

* Update module0.md

statistics link update

* Update module0.md

link update

* navigation page for theme 3
change exercise to tutorial

* added navigation page for theme 3

* Add files via upload

course_structure_updated

* Changed structure of exercises for m4t4

* Added quiz to m4t3 optical params of foliage

* Create .gitkeep

* Add files via upload

* Update 05_specific_resolution_contribution.md

theme update

* Update 05_specific_resolution_contribution.md

theme_update

* Update 05_specific_resolution_contribution.md

minor updates

* Edit

* Edit

* formatting edits

* Temp fixes for SAM/SID

* Add files via upload

* Update 03_spectra_image_insitu_tutorial.md

* Add files via upload

* Update 03_spectra_image_insitu_tutorial.md

* Update 02_aerial_acquisition_preprocessing.md

* Add files via upload

* Update 02_aerial_acquisition_preprocessing.md

* Update 02_aerial_acquisition_preprocessing.md

* Added new version of figure 2 (img3.png)

* added bila_hora as a possible value for visualisation functions

* Combined links to exercises for m4t4

* Complete srtucture including Bila louka

* In progress exercises for sam and sid

* Update 01_spectroscopy_principles.md

Minor edits

* Update 07_cs_forest_changes.md

* Update 07_cs_forest_changes.md

Minor edits

* Link to use cases, clear under constrauction

* Structure changes

* typo corrections

* change of LH to BL

* minor changes

* Typo corrections

* typo corrections

* Fixed link

* renamed m4t2 in nav

* Deleted temporary files for exercises

* Finalised formatting for exercises

* Formatting fixes\

* Add pdf to theme 2 and save rest to temp file

* Add pdf to theme 2

* Added quiz to theme 1

* Added formatting of objectives

* Fixing typos

* Added quiz for theme 4

* Added lesson to theme 1

* Added links to google colab

* Added temporary link to data

* Formatting for 1D CNN

* Uploading theme 4

* Fixing broken links

---------

Co-authored-by: srollera <[email protected]>
Co-authored-by: srollera <[email protected]>
Co-authored-by: jdvorak <[email protected]>
Co-authored-by: sedovaad <[email protected]>
Co-authored-by: mpotu <[email protected]>

Author: 5 people

course/data_usecases/usecase_grasses_krkonose.md

@@ -39,14 +39,16 @@ All four studied grass species (Figures 1-3) belong to the *Poaceae* family. *Na
 The use case is featured in the following parts of the course:
 
 * [Exercise: Exploration of hyperspectral data using EnMAP-Box (Module 4, Theme 1)](../module4/01_spectroscopy_principles/01_spectroscopy_principles_exercise.md)
+
 * [Exercise: Geometric correction (Module 4, Theme 2)](../module4/02_aerial_acquisition_preprocessing/02_aerial_acquisition_preprocessing_exercise_geometric.md) 
+
 * [Tutorial: Spectra smoothening and denoising (Module 4, Theme 2)](../module4/02_aerial_acquisition_preprocessing/filtering_spectral_curve.ipynb) 
-* [Exercise: Subpixel classification (Module 4, Theme 4)](../module4/04_time_series_specifics/04_time_series_specifics_exercise_subpixel.md) 
-* [Exercise: Classification of hyperspectral data using Support vector Machine (SVM), Random Forest (RF), SAM, and SID classifiers (Module 4, Theme 4)](../module4/04_time_series_specifics/04_time_series_specifics_exercise_ml.md)
-* [Exercise: Classification of hyperspectral data using CNNs (Module 4, Theme 4)](../module4/04_time_series_specifics/04_time_series_specifics_exercise_cnn.md) 
+
+* [Exercise: Classification of hyperspectral data (Module 4, Theme 4)](../module4/04_time_series_specifics/04_time_series_specifics_exercise.md)
+
 * [Case study: Seasonal spectral separability of selected grass species of the Krkonoše Mts. tundra ecosystem (Module 4, Theme 8)](../module4/08_spectral_separability_grass/08_spectral_separability_grass.md) 
-* [Case study: Discrimination of selected grass species from time series of RPAS hyperspectral imagery (Module 4, Theme 6)](../module4/06_Krkonose_tundra_grasslands/06_Krkonose_tundra_grasslands.md)
 
+* [Case study: Discrimination of selected grass species from time series of RPAS hyperspectral imagery (Module 4, Theme 6)](../module4/06_Krkonose_tundra_grasslands/06_Krkonose_tundra_grasslands.md)
 
 ## References
 Hejcman, M., Češková, M., Pavlů, V., (2010). Control of Molinia caerulea by cutting management on sub-alpine grassland. Flora - Morphol. Distrib. Funct. Ecol. Plants 205, 577–582. [10.1016/j.flora.2010.04.019](https://doi.org/10.1016/j.flora.2010.04.019). 

course/module2/07_cs_forest_changes/07_cs_forest_changes.md

@@ -233,7 +233,6 @@ Kupková, L., Potůčková, M., Lhotáková, Z., Albrechtová, J. (2018). Forest
 
 Zhai, Y., Roy, D. P., Martins, V. S., Zhang, H. K., Yan, L., Li, Z. (2022). Conterminous United States Landsat-8 top of atmosphere and surface reflectance tasseled cap transformation coefficients. Remote Sensing of Environment, 274, 112992. [https://doi.org/10.1016/j.rse.2022.112992](https://doi.org/10.1016/j.rse.2022.112992)
 
-
 ### Other case studies
 
 - [Monitoring tundra grasslands (Karkonosze)](../06_cs_tundra_grasslands/06_cs_tundra_grasslands.md)