Automatic formatting of scripts

Author: jonasViehweger

Gemfile

@@ -1,6 +1,7 @@
 source 'https://rubygems.org'
-gem "github-pages", "~> 228", group: :jekyll_plugins
-gem "just-the-docs", "0.4.2" 
+gem "github-pages", "231", group: :jekyll_plugins
+gem "just-the-docs", "0.8.2" 
 gem "webrick"
 gem "rake"
+gem "jekyll", "3.9.5"
 gem "html-proofer", git: "https://github.com/jonasViehweger/html-proofer"

data-fusion/s1_flooding_visualisation/copernicus_browser.js

@@ -1,35 +1,36 @@
 //VERSION=3
 function setup() {
     return {
-      input: [{
-          datasource: "S2L2A",
-          bands: ["B08"]
-        },
-        {
-          datasource: "S1GRD",
-          bands: ["VV", "dataMask"]
-        }
-      ],
-      output: { bands: 4 },
-      mosaicking: "SIMPLE"
+        input: [
+            {
+                datasource: "S2L2A",
+                bands: ["B08"],
+            },
+            {
+                datasource: "S1GRD",
+                bands: ["VV", "dataMask"],
+            },
+        ],
+        output: { bands: 4 },
+        mosaicking: "SIMPLE",
     };
-  }
-  
-  function toDB(input){
-    return 10 * Math.log(input) / Math.LN10;
-  }
-  
+}
+
+function toDB(input) {
+    return (10 * Math.log(input)) / Math.LN10;
+}
+
 //threshold value for water detection, reduce for more water, increase for less water
 const lim = 15;
 //gain value for image brightness (increase for brighter image)
 const f = 2.5;
-  
+
 function evaluatePixel(sample) {
-  var S1 = sample.S1GRD[0];
-  var S2 = sample.S2L2A[0];
-  if (toDB(S1.VV) <= -1 * lim){
-    return [S1.VV * 10, S1.VV * 10 , S1.VV * 50, 1];
-  } else {
-    return [f * S2.B08,f * S2.B08, f * S2.B08,1]
-  }
-}
+    var S1 = sample.S1GRD[0];
+    var S2 = sample.S2L2A[0];
+    if (toDB(S1.VV) <= -1 * lim) {
+        return [S1.VV * 10, S1.VV * 10, S1.VV * 50, 1];
+    } else {
+        return [f * S2.B08, f * S2.B08, f * S2.B08, 1];
+    }
+}

data-fusion/s1_flooding_visualisation/mosaic.js

@@ -1,34 +1,35 @@
 //VERSION=3
 function setup() {
     return {
-      input: [{
-          datasource: "CUSTOM",
-          bands: ["B02", "B03", "B04"]
-        },
-        {
-          datasource: "S1GRD",
-          bands: ["VV", "VH", "dataMask"]
-        }
-      ],
-      output: { bands: 4 },
-      mosaicking: "SIMPLE"
+        input: [
+            {
+                datasource: "CUSTOM",
+                bands: ["B02", "B03", "B04"],
+            },
+            {
+                datasource: "S1GRD",
+                bands: ["VV", "VH", "dataMask"],
+            },
+        ],
+        output: { bands: 4 },
+        mosaicking: "SIMPLE",
     };
-  }
-  
-  function toDB(input){
-    return 10 * Math.log(input)/Math.LN10;
-  }
-  //threshold value for water detection, reduce for more water, increase for less water
-  const lim = 15;
-  //gain value for image brightness (increase for brighter image)
-  const f = 0.0008;
-  
-  function evaluatePixel(sample) {
+}
+
+function toDB(input) {
+    return (10 * Math.log(input)) / Math.LN10;
+}
+//threshold value for water detection, reduce for more water, increase for less water
+const lim = 15;
+//gain value for image brightness (increase for brighter image)
+const f = 0.0008;
+
+function evaluatePixel(sample) {
     var S1 = sample.S1GRD[0];
     var S2 = sample.CUSTOM[0];
-    if (toDB(S1.VV) <= -1*lim){
-      return [S1.VV * 10, S1.VV * 10 , S1.VV * 50, 1];
+    if (toDB(S1.VV) <= -1 * lim) {
+        return [S1.VV * 10, S1.VV * 10, S1.VV * 50, 1];
     } else {
-      return [f*S2.B04,f*S2.B03, f*S2.B02,1]
+        return [f * S2.B04, f * S2.B03, f * S2.B02, 1];
     }
-  }
+}

sentinel1-monthly-mosaic/rgb_ratio/readme.md

@@ -25,8 +25,6 @@ examples:
 
 ## General description of the script
 
-RGB ratio
-
 This script combines the gamma0 of the VV and VH polarizations into a false color visualization. It uses the VV polarization in the red channel, the VH polarization in the green channel, and a ratio of VH/VV in the blue channel. It shows water areas in dark red (black), urban areas in yellow, vegetated areas in turquoise, and bare ground in dark purple.
 
 For snowy and icy areas, the visualization can vary from light yellow to blue to red. In order not to confuse cryogenic features with non-cryogenic ones, some general information about the location is helpful in interpreting the image.

sentinel1-monthly-mosaic/rgb_ratio/script.js

@@ -1,23 +1,24 @@
 //VERSION=3
 function setup() {
     return {
-      input: ["VV", "VH", "dataMask"],
-      output: { bands: 3 }
+        input: ["VV", "VH", "dataMask"],
+        output: { bands: 3 },
     };
-  }
-  
-  var viz = new HighlightCompressVisualizer(0, 0.8);
-  var gain = 0.8;
-  
-  
-  function evaluatePixel(sample) {
+}
+
+var viz = new HighlightCompressVisualizer(0, 0.8);
+var gain = 0.8;
+
+function evaluatePixel(sample) {
     if (sample.dataMask == 0) {
-      return [0, 0, 0];
+        return [0, 0, 0];
     }
-    
-    let vals = [gain * sample.VV / 0.28,
-                gain * sample.VH / 0.06,
-                gain * sample.VH / sample.VV / 0.49];
-    
+
+    let vals = [
+        (gain * sample.VV) / 0.28,
+        (gain * sample.VH) / 0.06,
+        (gain * sample.VH) / sample.VV / 0.49,
+    ];
+
     return viz.processList(vals);
-  }
+}