This workshop was originally planned on November 5th 2021. We had to postpone it to November 26th 2021. We apologize for the inconvenience and thank you for your understanding.
This RUS Copernicus training session focuses on the processing of Sentinel-1 products with the Machine Learning capabilities of SNAP to detect and map leads as well as 3 different classes of sea ice.
This is a hands-on training session where participants will access from their own laptop a Virtual Machine to exploit the open source software and toolboxes available in the RUS environment (mainly SNAP and QGIS here) to process Sentinel-1 data.
Please note that the RUS Copernicus Virtual Machines used for this training course can only be provided to citizens/residents of the Copernicus programme member countries (EU plus Iceland and Norway).
With their night and day all weather imaging capabilities, SAR Imagers onboard the Sentinel-1 missions (A and B) offer the input material to produce High Resolution sea ice charts.
In this training session, we will recap the main C-band SAR image properties. Participants will then learn how to access the Sentinel-1 data, be familiar with the RUS working environment and discover very interesting functionalities of the tools freely accessible within this environment.
This introduction will be followed by a hands-on session to illustrate how the Sentinel-1 GRD products can be exploited with the SNAP toolbox to obtain a high resolution sea ice chart in raster (DIM format) and then vector format (ESRI-Shapefile). The consolidation of the vector classes (merging polygons and clean-up) will be done thanks to QGIS.
Attendees must be in possession of their own computer to follow the online training. They will be provided with a pre-installed Virtual Machine, accessible through an internet browser on their personal laptop. The Virtual Machine will contain all the software and data necessary to follow the exercise during the course and will also be accessible to users during the following weeks.
Attendance to the training course is free of charge.
This training session is limited to 25 participants on a first-come first-served basis.