Answering your first question, I think yes, it is possible, because the orbit is different,
Concerning your second question,
Take a look at these posts, they explain the relationship between incidence angle and backscatter, further more explain, how to extract the backscatter and create the correlation,
For water bodies it shouldn’t make any difference because they don’t underlie topographic variation.
There is a relationship between the incidence angle and backscatter bias but this applies to slopes towards/away from the sensor only.
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If your water areas have steep coasts there could be some shadow or foreshortening depending on the flight direction, but for Sentinel-1 this would make only a pixel (on the land).
Very steep coasts at 100 or more meters above the sea level cou…
for SLC data I would suggest
TOPS Split
Apply Orbit file
Thermal Noise Removal
Calibration to Beta0*
TOPSAR Deburst
Radiometric terrain flattening
(Speckle filtering)
Range Doppler Terrain Correction
If you don’t need the phase information you can also download it as a GRD product and only apply the following:
Apply Orbit file
Thermal noise removal
Calibration to Beta0
Radiometric terrain flattening
(Speckle filtering)
Range Doppler Terrain Correction
or (if you don’t have much topography)…
You can create a scatter plot in SNAP as the one shown below.
If you specifically want to create scatter plots like the ones you posted, you better use matplotlib library in python and you can get plots exactly like the ones you posted here.
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In order to produce a correlation plot, you need to have two values (x and y) and plot them to see the level of correlation between these two values. For instance (lets use SENTNINEL-1 Wide Swath image mode as an example), you want to see the correlation between the incidence angle of the wide swath SENNTIENL-1 image and the backscatter value. So, you have two fields, the first one is you incident angle and the second one is your backscatter values. When you perform a linear regression analysis…
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