Sentinel 1 land cover classification

Good luck. You can share your results in here with screenshots and we can maybe help again if you are stuck somewhere.

I am having my training data sets as point file. Is it possible to classify S1 data in SNAP using points?

I don’t think so. In any case for SAR data using a single pixel would be bad.

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If I have the polygons, is it possible to do supervised classification in S1 images with SNAP?

yes. Open your SAR image, menuy > import > other > shapefile
Then use the polygons as training vectors in the classification modules by selecting the column that has the class information.

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How do you execute a Support Vector Machines classification to map rice areas in Sentinel-1 toolbox? thanks before

SVM is currently not implemented in SNAP

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Thanks for the reply ABraun. Do you have any suggestions on what classification method i can use to map rice areas that can be achieved with SNAP Sentinel-1 toolbox? My data is IW GRDH by the way

the random forest classifier is quite good if you have data of different scales. But it needs more than just 2 rasters.
For the case you only have VV and VH you can use the KD Tree KNN classifier.

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Okay Abraun how do you execute a KD Tree KNN classifier on SNAP? I’ve tried looking at http://step.esa.int/main/doc/tutorials/ and the ESA training courses but couldn’t find what was needed. Sorry for the many questions.

collect sample areas and use them for training.
Please see here:

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Thanks a lot ABraun one last question how do you digitize polygons in SNAP? Is it the same as in Arcmap? how about points?

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points are called pins in SNAP

you can digitize them with this toolbar, it is quite intuitive

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can the enmap be used on sentinel-1 data classification?

Usefull information @ABraun

Is it now implemented`?

I’m afraid no.

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I have version 6 but I did not find it and I did not know about version 7 but it seems it is not implemented there. Thanks for answer.

Did you not receive a notice about version 7 every time you check for updates? Anyway, version 8 is some weeks away not but you should try 7 too.

Thanks I will try it but Do you know it has SVM classifier or not?