Sentinel-1B on its way to complete Europe´s “Radar Vision”

Copernicus satellite Sentinel-1B , successfully launched on April 26 2016, will monitor the environment around the clock in all weathers thanks to C-Band radars.

The 2.3 tonne satellite lifted off on a Soyuz rocket from Europe’s Spaceport in Kourou, French Guiana at 21:02 GMT (23:02 CEST). The satellite separated from the upper stage about 24 min. after liftoff.

Once activated, it will operate jointly with its twin, Sentinel-1A (launched in April 2014) and form the Sentinel-1 polar orbiting constellation, which will significantly improve revisit and response times to provide continuous all-weather round the clock imagery for marine, land monitoring and emergency services. Working together, the Sentinel-1 satellites will image the entire planet every six days.

As an advanced radar mission, Sentinel-1 can image the Earth’s surface through cloud and rain and regardless of whether it is day or night. This makes it an ideal mission, for example, for monitoring the polar regions, which are in darkness during the winter months and tropical forests, which are typically shrouded by cloud.

Over land, Sentinel-1’s systematic observations are used to track changes in the way the land is used and to monitor ground movement with exceptional accuracy. Moreover, this mission is designed specifically to aid fast response during emergencies and disasters such as flooding and earthquakes.

Sentinel-1B is the fourth in a series of Sentinel satellites for the European Copernicus programme, a joint project of the European Commission and the European Space Agency (ESA).

More news

Welcome to Sentinel-2C, but why not keep Sentinel-2A operational too?

The Sentinel-2C satellite was launched by ESA and the Copernicus programme on 4 September 2024 on a VEGA launcher. As soon as it is operational, nominally following an estimated 3-month […]

The 2nd Workshop dedicated to high-resolution thermal observation gets underway

Save already the date for the coming 2nd French-Indian Workshp dedicated to HR thermal observation.

clASpy_T : a 3D point cloud classification tool for estuary monitoring

The THEIA portfolio of Lidar data processing tools has been extended with a new software tool for creating 3D point cloud classification models using machine learning: cLASpy_T cLASpy_T aims to […]

Search