Project | AI4DTE

Duration: 11/01/2021 - 06/30/2022

Artificial Intelligence (AI) Enhanced Earth Observation (EO) for on Digital Twin Earth (DTE)

Research Topics

Data Management & Analysis
Machine Learning & Deep Learning
Language & Text Understanding

Application fields

Environment & Energy

A digital twin of the earth will allow science and policy users alike to gain insights of our earth system and will help with decision support. We analyze the potential of artificial intelligence technologies for a digital twin of the earth and determine a roadmap for further developments.

Contact Person

Prof. Dr. Prof. h.c. Andreas Dengel

Andreas.Dengel@dfki.de
Phone: +49 631 20575 1000

Keyfacts

Involved research areas

Smart Data & Knowledge Services,
Multilinguality and Language Technology,
Marine Perception

Publications about the project

Towards Digital Twins of the Oceans: The Potential of Machine Learning for Monitoring the Impacts of Offshore Wind Farms on Marine Environments
Janina Schneider; Andre Miedtank; Oliver Zielinski
In: Sensors - Open Access Journal (Sensors), Vol. 23, Page 4581, MDPI, 2023.

Project | AI4DTE

Artificial Intelligence (AI) Enhanced Earth Observation (EO) for on Digital Twin Earth (DTE)

Research Topics

Application fields

Contact Person

Keyfacts

Involved research areas

Publications about the project

Towards Digital Twins of the Oceans: The Potential of Machine Learning for Monitoring the Impacts of Offshore Wind Farms on Marine Environments

Sponsors

ESA - European Space Agency

Research Topics

Application fields

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Contact Person

Keyfacts

Involved research areas

Publications about the project

Towards Digital Twins of the Oceans: The Potential of Machine Learning for Monitoring the Impacts of Offshore Wind Farms on Marine Environments

Sponsors

ESA - European Space Agency