As you probably already know, there are many cloud providers that are able to support you with your data processing workflows.
Having large amount of data to ingest, process, and extract information is usually the one of the main reasons to move in the cloud in the fist place, i.e. scalability is key.
That said, this is true for most use cases in the data science domain. The real problem starts to appear, when the amount of data become enormous. This is the case in Earth Observation.
Satellites orbiting the earth are taking "pictures" at different spectral bands, almost every day (in some cases even more frequent) of the entire planet!
This translates to TBs of data comming per day!
This amount is even challenging for cloud providers.
CloudSigma is building and maintaining a repository of Sentinel data backed by a powerful service level agreement ensuring availability and performance.
Moreover, this enables Sentinel data to form the foundation for critical commercial and public sector services.
Also, it includes services requirement fast access speeds and heavy processing of large amounts of Sentinel data.
In short, the marriage of CloudSigma’s computing environment with a powerful data repository creates a unique environment for earth observation related workloads.
The data repository is stored on a modular equipment architecture using an object oriented storage environment.
This repository maintains a copy of data delivered through the SciHub and provides a RESTful web service for querying and accessing the data and metadata.
Currently, the full archive of Sentinel-1 SLC products for Europe and North America is available in CloudSigma object storage environment. This data is provided free of charge to all CloudSigma cloud users.
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