Markdown fix

Author: Monja Šebela

Landsat-57/composites/README.md

@@ -6,7 +6,7 @@
 
 True color composite uses visible light bands red (B04), green (B03) and blue (B02) in the corresponding red, green and blue color channels, resulting in a natural colored result, that is a good representation of the Earth as humans would see it naturally.
 
-Custom script: **return [B03, B02, B01];
+Custom script: **return [B03, B02, B01];**
 
 ![True color sample](fig/fig1.png)
 
@@ -18,7 +18,7 @@ Custom script: **return [B03, B02, B01];
 
 False color composite using near infrared, red and green bands is very popular. It is most commonly used to assess plant density and healht, as plants reflect near infrared and green light, while absorbing red. Since they reflect more near infrared than green, plant-covered land appears deep red. Denser plant growth is darker red. Cities and exposed ground are gray or tan, and water appears blue or black.
 
-Custom script: **return [B04, B03, B02];
+Custom script: **return [B04, B03, B02];**
 
 ![False color sample](fig/fig4.png)
 
@@ -32,7 +32,7 @@ Custom script: **return [B04, B03, B02];
 
 In this image, band 2 is displayed in blue, band 3 is displayed in green, and band 4 is displayed in red. This rendition looks rather strange - vegetation jumps out as a bright red because green vegetation readily reflects infrared light energy! It is similar to pictures taken from aircraft when using infrared film; very useful for studying vegetation.
 
-Custom script: **return [B02, B03, B04];
+Custom script: **return [B02, B03, B04];**
 
 ![SWIR sample](fig/fig2.png)
 
@@ -43,7 +43,7 @@ Custom script: **return [B02, B03, B04];
 
 In this SWIR image, band 2 is displayed in blue, band 4 is displayed in green, and band 7 (or 5) is displayed in red. This rendition looks like a jazzed up true color rendition - one with more striking colors.aking them valuable for mapping fire damage.
 
-Custom script: **return [B07, B05, B04];
+Custom script: **return [B07, B05, B04];**
 
 ![SWIR sample](fig/fig3.png)
 

sentinel-2/composites/README.md

@@ -6,7 +6,7 @@
 
 True color composite uses visible light bands red (B04), green (B03) and blue (B02) in the corresponding red, green and blue color channels, resulting in a natural colored result, that is a good representation of the Earth as humans would see it naturally.
 
-Custom script: **return [B04, B03, B02];
+Custom script: **return [B04, B03, B02];**
 
 ![True color sample](fig/fig1.png)
 
@@ -19,7 +19,7 @@ Custom script: **return [B04, B03, B02];
 False color imagery is displayed in a combination of standard near infra-red, red and green band. 
 False color composite using near infrared, red and green bands is very popular. It is most commonly used to assess plant density and healht, as plants reflect near infrared and green light, while absorbing red. Since they reflect more near infrared than green, plant-covered land appears deep red. Denser plant growth is darker red. Cities and exposed ground are gray or tan, and water appears blue or black.
 
-Custom script: **return [B08, B04, B03];
+Custom script: **return [B08, B04, B03];**
 
 ![False color sample](fig/fig2.png)
 
@@ -31,7 +31,7 @@ Custom script: **return [B08, B04, B03];
 
 Short wave infrared (SWIR) bands 11 and 12 can help scientists estimate how much water is present in plants and soil, as water reflects SWIR wavelengths. Shortwave-infrared bands are also useful for distinguishing between cloud types (water clouds versus ice clouds), snow and ice, all of which appear white in visible light. Newly burned land reflects strongly in SWIR bands, making them valuable for mapping fire damage. Each rock type reflects shortwave infrared light differently, making it possible to map out geology by comparing reflected SWIR light. In this composite, B8A is reflected by vegetation and shown in the green channel, while the reflected red band, highlighting bare soil and built up areas, is shown in the blue channel.
 
-Custom script: **return [B12, B08, B04];
+Custom script: **return [B12, B08, B04];**
 
 ![SWIR sample](fig/fig3.png)
 
@@ -44,7 +44,7 @@ Custom script: **return [B12, B08, B04];
 
 This composite, often called the Agriculture RGB composite, uses bands SWIR-1 (B11), near-infrared (B08) and blue (B02). It’s mostly used to monitor crop health, as both short-wave and near infrared bands are particularly good at highlighting dense vegetation, which appears dark green in the composite. SWIR measurements can help scientists estimate how much water is present in plants and soil, as water reflects SWIR light. Shortwave-infrared bands are also useful for distinguishing between snow, and ice, all of which appear white in visible light. Newly burned land reflects strongly in SWIR bands, making them valuable for mapping fire damage.
 
-Custom script: **return [B11, B08, B02];
+Custom script: **return [B11, B08, B02];**
 
 ![Agriculture sample](fig/fig4.png)
 
@@ -57,55 +57,55 @@ Custom script: **return [B11, B08, B02];
 
 This composite, often called the Agriculture RGB composite, uses bands SWIR-1 (B11), near-infrared (B08) and blue (B02). It’s mostly used to monitor crop health, as both short-wave and near infrared bands are particularly good at highlighting dense vegetation, which appears dark green in the composite. SWIR measurements can help scientists estimate how much water is present in plants and soil, as water reflects SWIR light. Shortwave-infrared bands are also useful for distinguishing between snow, and ice, all of which appear white in visible light. Newly burned land reflects strongly in SWIR bands, making them valuable for mapping fire damage.
 
-Custom script: **return [B12, B11, B02];
+Custom script: **return [B12, B11, B02];**
 
 ![Geology sample](fig/fig5.png)
 
 ## Bathimetric
 
 ### RGB (4,3,1)
 
-Custom script: **return [B12, B11, B02];
+Custom script: **return [B12, B11, B02];**
 
 ![Bathymetric sample](fig/fig6.png)
 
 ## RGB (8,6,4)
 
 ### RGB (8,6,4).
 
-Custom script: **return [B08, B06, B04];
+Custom script: **return [B08, B06, B04];**
 
 ![8,6,4 sample](fig/fig7.png)
 
 ## RGB (8,5,4)
 
 ### RGB (8,5,4).
 
-Custom script: **return [B08, B05, B04];
+Custom script: **return [B08, B05, B04];**
 
 ![8,5,4 sample](fig/fig8.png)
 
 ## RGB (8,11,4)
 
 ### RGB (8,11,4).
 
-Custom script: **return [B08, B11, B04];
+Custom script: **return [B08, B11, B04];**
 
 ![8,11,4 sample](fig/fig9.png)
 
 ## RGB (8,11,12)
 
 ### RGB (8,11,12).
 
-Custom script: **return [B08, B11, B12];
+Custom script: **return [B08, B11, B12];**
 
 ![8,11,12 sample](fig/fig10.png)
 
 ## RGB (11,8,3)
 
 ### RGB (11,8,3).
 
-Custom script: **return [B11, B08, B03];
+Custom script: **return [B11, B08, B03];**
 
 ![11,8,3 sample](fig/fig11.png)
 

sentinel-3/composites/README.md

@@ -6,7 +6,7 @@
 
 True color composite uses visible light bands red (B04), green (B03) and blue (B02) in the corresponding red, green and blue color channels, resulting in a natural colored result, that is a good representation of the Earth as humans would see it naturally.
 
-Custom script: **return [B08, B06, B04];
+Custom script: **return [B08, B06, B04];**
 
 ![True color sample](fig/fig1.png)
 
@@ -17,15 +17,15 @@ Custom script: **return [B08, B06, B04];
 
 ### RGB (17,6,3)
 
-Custom script: **return [B17, B06, B03];
+Custom script: **return [B17, B06, B03];**
 
 ![False color sample](fig/fig2.png)
 
 ## False Color 2
 
 ### RGB (17,5,2)
 
-Custom script: **return [B17, B05, B02];
+Custom script: **return [B17, B05, B02];**
 
 ![False Color 2 sample](fig/fig3.png)