Observation of the Earth System from Space

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Deimos offers full turn-key Earth observation systems based on several platforms, with different spatial resolution performances.

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In addition, Deimos is currently working on several initiatives and breakthrough technologies to radically improve Earth Observation data in terms of quality and cost. The activities carried out by Deimos for Earth observation flight systems include launch window calculation, eclipse analysis, trajectory definition, orbit maintenance, lifetime studies and risk assessment.

From Space to Drones: a synergy for Earth Observation

Satellite disposal and re-entry analysis are also considered. Tailored algorithms and software tools are developed to simulate the space environment and its effects on the mission design. Deimos capabilities in real-time systems include the development of on-board software systems such as on-board computers, avionics, control units, and on-board data handling. The activities associated with the Mission Ground Segment have been a strategic line of business since the foundation of the company.

The gs4EO modules can be used independently to customize a Ground Segment according to the user requirements or combined for a full, end-to-end Ground Segment. Each module has user-friendly graphical interfaces and communicates with the rest of the Ground Segment using file-based interfaces, easing its integration with other external solutions.

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The modularity and scalability of the gs4EO line allows for minor adaptations and integrations with pre-existing satellite control stations. The level of complexity of the station depends on the user needs in terms of data. The combination of an antenna and a direct receiving station ensures immediate, secure and private access to satellite data in real-time.

Observation and integrated Earth-system science: A roadmap for 2016–2025

If immediate data access is not necessary, virtual receiving stations i. Deimos is in the rare position of being a creator of space systems, an operator of commercial Earth Observation EO satellites and a developer of EO applications. The lower cost and wider availability of Earth Observation data and satellite navigation enabled devices is driving the implementation of new applications in fields such as precision agriculture, crop yield estimation, urban planning, mapping, routine monitoring of remote assets, eco system monitoring, forestry and many others.

We use first- and third-party cookies to improve your experience as a user of our website and to collect statistics by analysing your browsing data. Regions with predominant precipitation, e. Here, freshwater input from the atmosphere into the ocean is prevailing whereas in large parts of the subtropics, evaporation is the dominating parameter.

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Here, the atmosphere gains freshwater from the ocean. Detailed information can be found at the project site www. In close cooperation with the working group from Hamburg, the data set will be extended to the year for the parameters precipitation, evaporation, freshwater flux as well as the near-surface wind speed and specific humidity in the near future.

As a next step, climate modelers will be given the opportunity to evaluate their model results by applying the HOAPS climatology. For this purpose a simulator is under development that provides an interface between the spatio-temporally unevenly sampled satellite observations with the model data. Despite the success of HOAPS, validation of the satellite data — particularly for precipitation measurements over the ocean — still remains an important task. To accomplish this task, Dr.

KG, and with the involvement of MPI-M, has recently mounted optical rain sensors on several research vessels e. These data will be used as a unique validation source to verify satellite data and model results.

Observing the Water Cycle from Space

Over land surfaces the satellite data and retrieval procedures used in HOAPS are less suited to derive the freshwater flux parameters. Here the signal received by the satellite is strongly impaired by the inhomogeneous land surface background.


To derive the relevant quantities, much more complex methods and data synthesis from different sources have to be applied. Hence, a working group around Dr. Alexander Loew MPI-M is particularly focusing on retrieving essential parameters of the water cycle derived from satellite data over land surfaces. This combined data set will then allow for studies of the global water cycle encompassing exchange processes over the ocean as well as over land surfaces.

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