Due to the great success encountered by this training last May, the RUS Service is organizing another edition of the face-to-face session dedicated to the Comparison of Urban Mapping Methods using SAR.
This remote hands-on training gives you the opportunity to participate from the safety of your home/office and still get all the benefits of RUS face-to-face practical training. The session will consist of a live demonstration, followed by a time to repeat the exercise on your pre-configured RUS Virtual Machine with live support from the RUS EO expert team, and will close with live Q&A.
As the world is facing a large increase in population, reliable information on urban areas is required to assist and help decision-making processes. Different methods can be used to gather this information, but satellite Earth observation offers a suitable approach, based on the coverage and type of data that are provided.
With Copernicus, the European Union’s ambitious program, which includes a new family of Earth observation satellites known as the Sentinels, this generation of sensors is improving the observation, identification, mapping, assessment and monitoring of urban areas and their dynamics at a range of spatial and temporal resolutions.
In this course, we will process on the RUS Virtual Machines a multi-temporal dataset of Sentinel-1 SLC products and derive coherence data using SNAP. The data will be used later to map urban areas over a region of interest in Germany. For that, we will employ different methods with Python scripts provided in JupyterLab and compare their results. Finally, we will assess accuracy by comparing our results with the Global Urban Footprint – DLR dataset.
Attendance to this remote training session is free but requires registration before 21 October.
For more information or registration, visit our Training website.