Question about Sentinel-1 processing in custom script

[seda.defensa (Seda)]

Hi,
I am interested in transforming the RGB bands of an S-1 image to better visualize the oil spills. For this I have found the following script that allows the ORM index to be visualized in the EO browser at https://custom-scripts.sentinel-hub.com /sentinel-1/orm_index/#.
Contains this:

//Oil slicks and Red tide monitoring  
//By TIZNEGAR Startup Co, www.tiznegar.com
//Dataset:Sentinel-1 AWS-IW-VVVH

var ORM = Math.log(0.01/(0.01+VV*2)); 

if (ORM < [ 0] &&  VV< [ 0.018]&&  VH< [ 0.00126]) { 
    
   return colorBlend   
    (ORM,	            
         [-1.6, -1.4, -1.2, -1, -.8, -.6, -.4, -.2, 0], 
        [     
   
     [0,0,.1 ],
     [0,0,.4 ],
     [0,0,.8],
     [1,0,.5],
     [1,0,0],
     [1,.5,.2],
     [1,.8,.2],
     [1,1,.4],
     [.5,.8,.3],
           

      ]);
}
else {
 return [2.5*VV,2.5*VV,2.5*VV]
}

If I want to use this code in python using the original VV and VH images from S-1. Between what values are the VV and VH that are evaluated through the EO browser (the original images are of the order of 0-6000) and how could I implement it in python using the original polarizations?

Thanks for the help

[chung.horng (Chung)]

Hi @seda.defensa ,

EO Browser processes the original Sentinel-1 GRD data. The only conditional statement in the script is that it returns visualisation if ORM < [0] && VV < [0.018] && VH < [0.00126] and for other cases it returns [2.5*VV,2.5*VV,2.5*VV].

As you mentioned you’re using python, please have a look at the Sentinel Hub python package, which is an official python interface of our services. I would also suggest going through our technical documentation and starting with Processing API. You could also go through the Processing API webinar, which should give you a general introduction of what our services are about.