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for Europe, Africa and the Middle East ; in Sweden for midday
orbits and coverage of North and South America ; in Toulouse
for evening passes over Asia and Oceania (Figure 5).
Figure 5: the 3 Pléiades' daily collection plans
This enables us to task users' requests up to two hours before
satellite pass, thus reducing the lead time between tasking
requests and image acquisition to a minimum.
It should be noted that the splitting into 3 parts of the daily
collection plan also increases the global efficiency of the whole
satellite system: using 3 different weather forecasts a day results
into a more precise prediction of cloud position under the orbit,
hence optimising the probability of getting cloud-free images.
4.2 Direct tasking: Reactivity at customer’s hand
Pléiades customers with receiving stations configured for direct
tasking will be able to refine tasking plans at the last moment
(30 minutes prior to satellite arrival above the cone) according
to the latest weather forecasts or emergency requests.
5. GROUND PROCESSING: A SPEED-UP STORY
A lot of work has gone into designing image production
systems. The fully automatic orthorectification process is
capable of generating a 20 km x 20 km Pléiades colour image in
less than 30 minutes and a single-pass mosaic of 60 km x 60 km
in less than 3 hours.
On the user side, everything from ordering to data delivery has
been made as flexible and easy as possible. New acquisitions,
catalogue data, subscription offers, collection alerts, online
monitoring services and more mean that imagery is just a click
away, ready to use.
6. CONCLUSION
The consecutive launches of Pléiades-1 & 2 and SPOT-6 & 7
signal a paradigm shift in the world of Earth Observation
services. We are now fully ready to operate a coherent,
optimized multi-resolution constellation of 4 satellites that will
deliver to the users a high level of performance: revisit,
collection capability, responsiveness, accuracy...
Last but not least, this constellation will ensure continuity of
service up to 2023, securing the users’ investments into VHR
data.
Acknowledgments: the authors would like to thank all the
teams who contributed to the success of Pléiades during the
conception, launch and calibration phases, especially our
colleagues from CNES and ASTRIUM (satellite branch).
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