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Soon the 1st " SCO France Quarterly "

Published on 11/05/2021
To strengthen the links between the community and its projects, the first "SCO France Quarterly" will be held online on Tuesday, June 1, 2021!

The SCO France is made up of 22 organizations and their partners who deserve a huge BRAVO: for their remarkable mobilization, for their undeniable dynamism, for the 36 projects that have been labeled in barely a year and that they are implementing. It is now time to set up a regular meeting to animate the community, to allow each project to show its progress and to inspire the others.

For two hours, each quarterly meeting will focus on a single theme illustrated by 4 projects.

For this first session, the topic will be "Satellite data in SCO projects": how to use it, where to retrieve it, how to work with it to deliver a service or an indicator. This introduction is intended to be general in order to provide an overview of the wealth of different satellite data, which is particularly important for users.

The projects highlighted will be :

  • Thermocity (thermal data)
  • Vimesco (optical and radar data)
  • FloodDam (optical, radar and altimetry data)
  • SatLCZ (Pleiades data)

We are waiting for you, register now!

To give you an idea, let's zoom in on the example of Djibouti, whose images, acquired on the same day, offer a very different view (and therefore applications) under an optical sensor and a radar:

Djibouti optique et radar

Djibouti May 23, 2018

Left: Optical imagery (Pleiades, Spot, Sentinel-2, Landsat...) is the most familiar to the general public because it produces a "familiar" image. But, like our eyes, optical sensors do not see at night or through clouds. The resolution of these images allows to characterize the smallest details or almost.

Right: Unaffected by night and weather, radar (Sentinel-1, TerraSarX, RadarSat...) is of great interest in areas where heavy cloud cover limits optical acquisition. The new generations of radar imagery allow for very detailed characterization of the observed surfaces.