yes. Multi-looking is not necessarily required but improves your data regarding the presence of speckle.
You can convert your data by right-clicking on the bands > “Convert to db”
This generates a virtual raster. Make it physical by right-clicking “convert band” and save your product.
Thank you ABraun for that fast answer.
I’m comming from the interferometry field…and was kind of lost in this topic.
Thank you and have a nice weekend.
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.
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.
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.