For these organizations to capitalize on this information, the need to collect and process EO/RS data from a diverse set of remote sensors and platforms is constantly evolving. The underlying infrastructure needs to support a wide range of mission needs and address the needs of various users and customers, including government and military agencies, as well as commercial customers. Replacing and maintaining infrastructure is costly, time-consuming, and prevents a rapid response to mission needs.
Earth Observation
The space industry is largely driven by organizations which have the means to monitor the vast amount of data gathered daily from different architectures, such as Earth Observation (EO) satellites.
Axipiter is excited to introduce the first-ever space industry ecosystem orchestrator – The Brick Oriented Architecture (BOA)! As a dynamic, scalable, and open architecture, the BOA acts as an integrated space industry platform that supports the entire space data and application life cycle, from data creation to data distribution, to data use.
Axipiter provides an open and modular platform.
Axipiter Open Space is a highly dynamic, and low-cost platform that will have a lasting positive impact on the EO/RS industry. As the industry’s only fully virtualized, software-defined, and orchestrated system platform, Axipiter successfully addresses the need for highly dynamic Earth Observation and Remote Sensing (EO/RS) services.
Our goal
Make it easier for customers to create, deploy and operate Earth Observation applications. We recognize that within most geospatial domains users often face problems when it comes to accessing and sharing data. The Brick Oriented Architecture allows the ecosystem actors to share and reuse (or multi-purpose) data and functionalities which enables the orchestration of the entire Downstream and Upstream Ecosystem as well as deliver the next generation of EO space applications. Providing users with dynamic and easy access to bus stop locations (a silo), maps showing bus stops (another silo), tracking the current location of buses (a third silo), and dynamically composing them together, can greatly simplify their lives.
A new generation of interoperable capability
Axipiter not only allows businesses to utilize EO data but also gives them the flexibility of utilizing whatever benefits AI has on offers, such as machine learning, big data analytics, user experience optimization, and more. These capabilities can be packaged and achieved via the concept of “smart digital bricks” which are single digital components capable of holding information about specific entities (data) and capabilities (functionalities), to allow businesses the ability to customize their AI implementation accordingly. Basically, what you would want your space industry software platform to be; versatile while also continuously evolving.
While traditional EO/RS systems require a significant investment in long-term physical infrastructure, which restricts the ability of users to rapidly adapt to business needs, Axipiter ’s OpenSpace platform approach enables service providers to enjoy the following benefits:
- Get access to information, capabilities, solutions, and data quickly.
- (Both remote and in-situ) Sensor mapping capabilities.
- Easy publication of information, products, and data.
- Easily integrates new functionalities.
- Federated architectures make it transparent to the end-users where the information being accessed comes from.
- With the shared Digital Bricks concept, machine learning and cloud services can be leveraged against data from web services, open APIs, and other sources, greatly reducing the interoperability issues.
- Distribute content quickly and easily across networks, whether global, national, or regional.
- Connecting to legacy/heritage systems as well as open APIs and microservices is easy.
- Support for unstructured documents such as charts, maps, pdfs, videos, etc. that contain valuable historical data sets.
- Providing geospatial, data analysis display environments and time-related contexts for e-visualizing information.
- Results can be viewed on a map interface. Interactive mapping: plannable, zoomable, changeable projection. Item mapping should be interactive: click/hover to get metadata, click/hover to get data values.
- Analyzing long time series, analyzing selected subsets of data, using basic analysis and visualization tools.
- The availability of bandwidth tends to be low or non-existent in places with limited access to high-speed data infrastructures.
- The applications support online as well as offline usage of data.
- Using a Digital Bricks application, for instance on an Android tablet (for which the software is optimized), allows workers or researchers to preload data they may need on their mobile device. Thus, for them to update or add new information to the data in the fields or research areas that lack data communication, they simply must plug their SD card into the Android tablet and synchronize it with their original database back at home.
- Datasets in standard formats are available for download.