RUS Copernicus is organizing a remote hands-on training session focussing on the comparison of Urban Mapping Methods using SAR where you can participate from the safety of your home/office and still get all the benefits of RUS face-2-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 Machines with live support from the RUS expert team. The session 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. The European Union’s ambitious program Copernicus includes a new family of Earth observation satellites known as the Sentinels, 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-Copernicus Virtual Machines a multi-temporal dataset of Sentinel-1 SLC products and derive coherence using the SNAP toolbox. 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 dataset developed by DLR.
For more information and conditions for registration, visit our training website.