Mapping Urban Area with Sentinel-1 Data: a Tutorial Using SNAP and SCP for QGIS - The Koch Family
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Mapping Urban Area with Sentinel-1 Data: a Tutorial Using SNAP and SCP for QGIS

I am glad to post this tutorial about urban mapping developed by Laure Boudinaud, a satellite data scientist, during her work as Young Graduate Trainee at the European Space Agency (ESA), ESRIN. The developed method aims to create a binary map of Urban / Non-urban area through the supervised classification of a Sentinel-1 image stack.
I personally thank very much Laure Boudinaud for her valuable work and the kindness to share this innovative method with the SCP Community.

Before starting this tutorial, you should download and install the free software SNAP developed by ESA for processing Sentinel data from
You should download the following Sentinel-1 images (the study area is Rome, Italy) from the Copernicus Open Access Hub (after the free registration):
  • S1A_IW_GRDH_1SDV_20161008T051144_20161008T051209_013394_015602_7B4A
  • S1B_IW_GRDH_1SDV_20161008T170446_20161008T170511_002418_004147_C814
Also, you should download the following reference data:
Finally, download a Sentinel-2 image of the same area, which will be the reference optical data, following this previous tutorial.

Following, the text of the tutorial that is organized in two main steps:
  1. Processing in SNAP of the image and extraction of the features to be used for the classification;
  2. Supervised classification in QGIS (using the Semi-Classification plugin SCP).
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