Image looks after resampling less reddish. color redshift?

[chris2o]

i wrote a simple graph resampling (10m) < subset and run it with GPT. Afterwards i created an RGB Image in SNAP to comparing the outcome visually and i noticed a red shift in color.

**Left Side (new product) - right side (original product) **

thats my resampling node

<node id="Resample">

    <operator>Resample</operator>

    <sources>

      <sourceProduct refid="Read"/>

    </sources>

    <parameters class="com.bc.ceres.binding.dom.XppDomElement">

      <referenceBand/>

      <targetWidth/>

      <targetHeight/>

      <targetResolution>10</targetResolution>

      <upsampling>Nearest</upsampling>

      <downsampling>First</downsampling>

      <flagDownsampling>First</flagDownsampling>

      <resamplingPreset/>

      <bandResamplings/>

      <resampleOnPyramidLevels>true</resampleOnPyramidLevels>

    </parameters>

  </node>

i have also used the Option “by reference band from source product < B3”. But it was the same outcome my RGB Image looked less reddish.

Question
i expected no changes in the RGB Bands after resampling, because i thought the resolution of these Bands is already 10m. Or i am missing something ? Do i have to apply also some color correction process in after resampling.

[marpet]

If you created also a subset the histogram changes. And this influences the RGB image creation.
I already wrote about it here:

Colour anomalies in Sentinel 2A products

Yes, it is very likely that the different display is cause by a different distribution of bright and dark pixels in the histogram. Unfortunately, the images are scene specific and can not easily be compared. Good constant value ranges for the RGB images are Red: 0 - 0.35 Green: 0 - 0.30 Blue: 0 - 0.25 If you want to do this automatically you could follow the description I gave recently:

I’ve attached a ready to use RGB profile which you can load in SNAP. With this one you should get constant values.
s2Profile_B432.rgb (163 Bytes)