Update README.md

README.md

@@ -47,25 +47,33 @@ Detailed description for each layer with its visualization can be found below.
 ## LiDAR
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/651d578a1819d9e5754ffc47/Fgf8shGa1FP4aAUpFfWb0.png)
 LiDAR layer was created from DEM with 1x1 meter resolution. 
-Raw folder contains unprocessed input data.
-Processed folder contains normalized data where minimum value for normalization was set to 0.0 and maximum to the highest point of Biele Karpaty 916.335.
+ - The "raw" folder contains unprocessed input data.
+ - The "processed" folder contains normalized data where minimum value for normalization was set to 0.0 and maximum to the highest point of Biele Karpaty 916.335.
 
 ## Landslides
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/651d578a1819d9e5754ffc47/pnWHsqUNtcA0rA5GCxGWU.png)
 Landslides layer was created by experts from State Geological Institute of Dionýz Štúr and presents the ground truth. The value one symbolizes the pixel with landslide.
-Raw and processed folder contains identical data.
+The "raw" and the "processed" folder contains identical data.
 
 ## Curvature
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/651d578a1819d9e5754ffc47/H1r3Gb1Fho2h-Unc7gy6e.png)
-The curvature layer was calculated as follows: TODO formula. The disance between the center and the edge points is set to 5 meters to cover wider area.
-The raw folder contains the data with the above mentioned formula applied. The edges with artifacts were cropped from dataset. Values above 0 presents convexe surfaces. Values below 0 presents concave surfaces.
-The data in processed folder were clipped with value +-2 - e.g. the values below -2 were set to -2 and the values above 2 were set to 2. Finally, the data is normalized to values from interval [0, 1] by setting the minimum value to -2 and the maximum to 2.
+before the calculation of curvature, the DEM was smoothened by kernel of size 3x3 to eliminate the noise. The curvature layer was calculated as follows (see image below for the legend): 
+ - A = (Z1 + Z9) / 2 - Z5
+ - B = (Z7 + Z9) / 2 - Z5
+ - C = (Z2 + Z8) / 2 - Z5
+ - D = (Z4 + Z6) / 2 - Z5
+ - Curvature = A + B + C + D
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/651d578a1819d9e5754ffc47/yTA2LxPIXivCDI91R6DlU.png)
+The distance L was set to 10 meters to cover wider area and have smoother output.
+ - The "raw" folder contains the data with the above mentioned formula applied. The edges with artifacts were cropped from dataset. Values above 0 presents convexe surfaces. Values below 0 presents concave surfaces.
+ - The data in "processed" folder were clipped with value +-2 - e.g. the values below -2 were set to -2 and the values above 2 were set to 2. Finally, the data is normalized to values from interval [0, 1] by setting the minimum value to -2 and the maximum to 2.The values below 0.5 then presents concave surfaces and the values above 0.5 presents convexe surfaces.
 
 ## Hillshade
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/651d578a1819d9e5754ffc47/sNOv4JhLJA0rvGHYYPtVo.png)
 The hillshade layer was created from DEM by using multidirectional hillshade function in QGIS and by applying 45° vertical angle.
-Raw folder contains RGB image with pixel values from 0 to 196.
-The processed folder contains a selected single band from RGB image. CLAHE filter was applied to this band to enhance contrast and the output was normalized to values in interval [0, 1]. 
+ - The "raw" folder contains RGB image with pixel values from 0 to 196.
+ - The "processed" folder contains a selected single band from RGB image. CLAHE filter from OpenCV library with clip limit set to 20 and tile grid size set to 8x8 was applied to this band to enhance contrast and the output was normalized to values in interval [0, 1]. 
 
 ## NDVI
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/651d578a1819d9e5754ffc47/o0AwliWCg5QA6ZlsRGf99.png)
@@ -74,11 +82,11 @@ TODO
 ## Roughness
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/651d578a1819d9e5754ffc47/qcLbwXT_n_uQpywolUX7N.png)
 The roughness layer was created from DEM by using roughness function in QGIS. 
-The raw folder contains single band data with unchanged values.
-The proceesed folder contains the normalized data to interval [0,1] where the minimum was set to 0 and maximum to TODO.
+ - The "raw" folder contains single band data with unchanged values.
+ - The "proceesed" folder contains the normalized data to interval [0,1]. Before the normalization the clipping limit 20 was set for the maximum value of rughness (values above 20 were set to 20) and the band was tranformed by np.log(roughness_band + 1.0). Minimum was then set to 0 and the maximum to np.log(21).
 
 ## Slope
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/651d578a1819d9e5754ffc47/jnLfos8FD2t9-gcvmDtgM.png)
 The slope layer was created from DEM by using slope function in QGIS.
-The raw folder contains single band data with unchanged values (degrees of slope inclination).
-The proceesed folder contains the normalized data to interval [0,1] where the minimum was set to 0 degrees and maximum to 90 degrees.
+ - The "raw" folder contains single band data with unchanged values (degrees of slope inclination).
+ - The "proceesed" folder contains the normalized data to interval [0,1] where the minimum was set to 0 degrees and maximum to 90 degrees.