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 <srollera@natur.cuni.cz> Co-authored-by: srollera <134652988+srollera@users.noreply.github.com> Co-authored-by: jdvorak <jakub.dvorak@natur.cuni.cz> Co-authored-by: sedovaad <142995175+sedovaad@users.noreply.github.com> Co-authored-by: mpotu <134622019+mpotu@users.noreply.github.com>
3dgeo-heidelberg · Oct 30, 2023 · 76c7aa8 · 76c7aa8
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diff --git a/course/data_usecases/usecase_grasses_krkonose.md b/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)
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 * [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). 

diff --git a/course/module2/07_cs_forest_changes/07_cs_forest_changes.md b/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)
 
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 ### Other case studies
 
 - [Monitoring tundra grasslands (Karkonosze)](../06_cs_tundra_grasslands/06_cs_tundra_grasslands.md)

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