Towards SMART Monitoring and Integrated Data Exploration of the Earth System - Implementing the Data Science Paradigm
Significant advances in Earth system understanding will only be achieved through better integration of data and knowledge from the different Earth science disciplines and Earth compartments. Improvement in this field strongly depends on our capabilities of dealing with fast growing multi-parameter data and on our effort employing Data Science methods, adapting new algorithms and developing digital workflows tailored to specific scientific needs.
Digital Earth has been strategically initiated by all eight centres of the Helmholtz research field Earth and Environment.
Read more on contents about Digital Earth.
Digitalization of Earth Sciences Enhancing cooperation between scientists working in different earth compartments to enhance a more holistic view on earth systems, bridging the gap between natural and data scientist. Read more
Thinking in workflows: A new approach of cooperation that supports re-usability of ideas and software code, prevents duplications and thus supports sustainability.
Scientific Show Case: Greenhouse gas impact of methane from the North Sea; Heavy rains and Elbe flood causing nutrient input into the North Sea.
Project Digital Earth: A four years projects that aimed to implement workflows and software components that facilitate the ideas outlined in our mission.
Workflow examples: Climate change, Flood similarity, Socio-Economic Impact, River plume
Software components: QA/QC methods, data analyses software framework, visual 4D methods, machine learning
Application Cases: Global nutrient distribution in the ocean (Glodap), Sediment plumes impacting deep sea ecosystems during deep sea mining; marine munitions endanger Baltic Sea ecosystems