Search

2 results found
Remote Sensing with multiple cooperative nanosats SysNova Challenge Weather

There is a need to achieve optimal cost effectiveness from remote sensing missions. Concurrently, a key scientific need in remote sensing is to address the spatial and temporal resolution of atmospheric measurements. Improved temporal resolution observations of the atmosphere – and importantly a reduced latency between observation and delivery to the user – can directly improve weather forecasting services.

UK

13-062

Surrey Satellite...
Remote sensing with multiple cooperative nanosats SysNova Challenge No. 3 Weather

This summary presents the work by the University of Strathclyde, SCISYS and Roke Manor Research in response to the ESA SysNova Challenge AO7891; Remote sensing with cooperative nanosats, Challenge #3 – Weather. The objective of this work was to evaluate the performance and cost of multi-agent satellite networks capable of providing data in support of severe weather monitoring.

UK

13-061

UNIVERSITY OF STRATHCLYDE

Filter by programme:

Filter by start year:

Filter by end year:

Filter by keywords:

Filter by contractor:

Filter by country:

Filter by application domain: