Solutions for innovative geodata management and processing

A set of projects and activities we call “Spatial Data Infrastructure Innovations” focuses on identifying and realizing innovative solutions for transforming, managing, analyzing and visualizing data from different sources. In close collaboration with our partners and customers, we aim to address the challenges posed by the increasing volume and heterogenity of data, as well as the velocity of data streams. The demand for new and advanced methodologies, technologies, and architectures is strong and we expect it to continue to grow in the near future. We are currently working on:

• Processing Scalability: identifying and implementing requirements for horizontal and vertical scaling of processing algorithms
• Workflow Chains and Orchestration: designing and automating complex process workflows
• Earth Observation Data Processing: handling massive amounts of EO data in an efficient and scalable manner
• Fit For Purpose Data: pre-processing, ingesting, and delivering raster and vector data to fit the purpose of a specific solution
• Cloud Environments (PaaS, IaaS, SaaS): leveraging their capabilities in terms of deployment patterns, input data handling, and processing results
• Efficient Storage Concepts and Formats: organizing vast amounts of data with the right concepts and access patterns, e.g. cloud optimizations
• Standardization: harmonizing processing interfaces, creating and using interoperable data formats
• Processing Transparency: strengthening reproducibility, data quality and metadata quality, and process discovery

We address these challenges in a number of R&D and PS projects. Our research partners and customers come from academia and industry and cover a wide range of application domains, such as environmental monitoring, emerging market development, climate change, or disaster management. This diversity enables us to develop new approaches that address the needs of many real-world problems and use cases.