With our strong, sustained contribution in international research projects, often leading, we help advancing the state of the art in Big Datacube technology, application, and standardization.
Evolution of EO Online Data Access Services
The technology project "Evolution of EO Online Data Access Services" analyses relevant scenarios and technologies for data publication and access, identifies potential for improvements of standards and their implementations, prototypes and evaluates selected improvements and proposes standard extensions for future releases.
The consultant rasdaman GmbH supports the consortium in the assessment of standards and the specification and demonstration of standard evolutions. rasdaman GmbH is a key contributor to a wide scope of geospatial data access standards within OGC and raster database access standards within ISO. It also provides a spatio-temporal Big Datacube solution with the scalable open source array engine rasdaman.
Agile Analytics on Big Data Cubes
The intercontinental EarthServer initiative, funded by EU H2020, makes Agile Analytics on Big Earth Data Cubes of sensor, image, simulation, and statistics data a commodity for non-experts and experts alike.
Large-scale data centers are setting up water, air, weather, and planetary services on 3D and 4D Petabyte-size data cubes with user-tailored clients for both visual and textual queries for ad-hoc mix&match. Being in its second phase, EarthServer maintains and extends the lead in Big Earth Data services established in the highly successful phase 1. Being already supported by ESA, rasdaman is being established as an enabling building block for COPERNICUS / Sentinel.
rasdaman GmbH provides its enabling technology as the EarthServer platform, together with support for the data centers. The rasdaman technology will be advanced in both scalability and functionality. Further, it contributes to standardization and leads exploitation work.
Video / Image / Sensor / EO - FUSION
The objective of ViseoFusion is to design, built and test a multi-stream geospatial data platform that supports decision-making for operational agencies and critical infrastructure operators. Earth Observation imagery, in-situ datasets and existing web services are integrated, analyzed and visualized in order to provide the end-user with actionable information in either review or near real-time mode
rasdaman GmbH is providing its technology as a backend and information turnpike for various types of high-volume raster data.
Scalable Reusable Open Geospatial Data
EU FP7 PublicaMundi is delivering methodologies, technologies and software components to leverage geospatial data as first-class citizens in the CKAN open data catalogue by combining reusable software components and tools enabling scalable, responsive, and multimodal value added applications on open geospatial data. Software components providing reusable, scalable, multi-lingual, and cost-efficient processing and analysis services for open geospatial data are being established, leveraging both vector and high-volume raster data.
rasdaman GmbH contributes its scalable raster engine, rasdaman, for integration with the widely used CKAN catalogue tool. This way, CKAN gets enabled with large-scale spatio-temporal raster data handling.
In TeraPro, a flexible, powerful image processing tool, proStack, has been coupled with a scalable database backend, rasdaman.