In this tutorial you are going to learn how to derive a flood map from radar images. You will use SNAP to process two Sentinel-1 images of Myanmar. The 2015 floods in the Myanmar delta region affected more than 1,000,000 people. Also the international charter space & major disasters was activated.
You will use the concept of pre- and post-disaster mapping to derive information from the radar images. Make sure you prepare carefully with the following steps, so you are ready to enjoy and learn from the tutorial.
In order to do this tutorial, you have to make sure you’ve installed SNAP. If you did not, please go back to lesson 2 and follow the instructions in the topic Introduction to SNAP.
Get the data
You have two options to download the data. You can either make use of what you’ve learned in the topic Sentinel-1 Data Access in lesson 2. We are using the following two data sets:
- Image 1: S1A_IW_GRDH_1SSV_20150320T114745_20150320T114810_005115_0066FA_82D7
- Image 2: S1A_IW_GRDH_1SSV_20150904T114747_20150904T114812_007565_00A772_B9FD
Or you can download the data directly here:
You have to log in with the Copernicus scihub account that you’ve created in lesson 2 to download the data.
Data provided by:
In case you have a slow internet connection, you can alternatively download a subset of the above mentioned data here.
A recommended practise
The United Nations provides a best practise document for flood mapping with SAR. Go ahead and compare the processing steps you just did with the recommendation to learn more about the creation of a reliable flood map.