Questions about Sentinel-1 images (after harmonisation with Sentinel-2) about eo-learn HOT 4 CLOSED

Hello!

Different integration options could be applied depending on the use case application.

One option working with eopatches would be to create two sets of eopatches, one for S2 and one for S1 separately (ideally also splitting ascending and descending orbits). You could then apply cloud masking and temporal interpolation to S2 images to a given set of time dates. For S1 data you could apply some spatial filtering for speckle removal and apply temporal interpolation to the same time dates as S2. At this point you could merge the S1 and S2 datasets into a single eopatch (with a custom EOTask), for instance concatenating along the feature dimension.

Another option that wouldn't require interpolation would be to select the closest time date from S1 matching the S2 time dates. In this case you would have to manage properly the timestamp if you wanted to join the images into a single EOPatch.

Hope this helps.

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Many thanks! It is great to know s1 and s2 should be acquired separately. I manually edited the configurations and prepared the ascending and descending S1 images separately. And it turns out to be the eopatch with ascending S1 also having descending S1 timestamps but with empty image. Is there a way to add&control orbit direction attribute to eopatch? On the one hand for data preparation when using WMS request for s1 and on the other hand, for timestamp management.

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I'm not completely sure if this is what is being asked, but you can set the orbit direction of your WMS layer in the configurator (https://apps.sentinel-hub.com/configurator/). This will only return results which go in the specified direction. It is not possible to set the direction using WMS parameters. Alternatively, if you use API requests (https://docs.sentinel-hub.com/api/latest/#/API/), these do support setting orbit direction.

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The orbit argument is available for S1 input tasks as well now.

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