Color composite on merged satellite images

EO Products / Scripts
1

Hello,

Is it possible to merge the satellite images comprised within our study area (250 000 km2) in the EO browser? And then to apply color composite/index/custom script on the merged product to finally download it?
Or do we have to download each image and merge them with a GIS software?

Thank you very much!

Regards

Zakaria

2

Hi @zakariazamzami961 ,

Could you please elaborate a bit more on what you’re trying to achieve? Your study area is huge and it does not make sense to merge all images covering your study area to one.

3

Hey,
it is “possible”, but with big limitations and as @chung.horng said, not really sensible or usable for any further work and probably not what you need

  • to display the area in EO Browser, the zoom level would be pretty low, so the visualization in EO Browser would be low resolution (for example for Sentinel-2 L2A, far from 10m/pixel)
  • furthermore, the image, downloaded with basic image download (jpg, png formats) or advanced image download (jpg, png, tiff), would not be really useful for further work for the same reason
  • the hi-res print download does allow for specifying the width and height of downloaded image, which results in a higher resolution, but the available formats are only jpg and png, and this option is meant more for big physical prints, cover images (for publishing), not for scientific research
  • the area is larger than the width of the orbit, so data from more than 1 acquisition date would be needed and if non-cloudy data is needed, the dates can also be more spread apart

For scientific research, it would probably make sense to use python and sentinelhub-py (maybe also eo-learn), to split the area to smaller chunks and work on them (and also stitch results to a single “unit” (file / array / matrix / …), if needed).

There is sentinelhub-js, with which you can request data from Sentinel hub directly in web apps or websites.

1 Like
4

Hello @chung.horng , @z.cern,

Thank you for your answers!

I am trying to obtain false colour composites to visualize geological features and also index related to water and vegetation in general.

I may look into the option of using python, thanks for the links.

5

Where can one educate himself about how to implement such py scripts?

6

Hi @ssh ,

We have a collection of examples where could be a good starting point.