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Datcu, Mihai (2020) AI and Earth Observation. AI4OAC: workshop on AI for Ocean, Atmosphere and Climate Dynamics, 2020-01-20 - 2020-01-23, Brest, France.
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Official URL: https://ai4oac.sciencesconf.org/program
Abstract
Satellite remote sensing is the only global and continuous Earth Observation (EO) system. In the present context of unprecedented and rapid climate changes EO plays the central role in understanding the planetary scale phenomena. The analysis of the Big EO Data poses many challenges and the solutions are presently mainly based on the advances in Artificial Intelligence (AI). The presentation overviews and analyses specific AI methods for EO data, beginning with the generation of training data sets, data base biases analysis, explainable machine and deep learning paradigms for high complexity phenomena understanding. Selected examples are presented for coastline and polar sea-ice monitoring.
| Item URL in elib: | https://elib.dlr.de/138240/ | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Conference or Workshop Item (Keynote) | ||||||||
| Title: | AI and Earth Observation | ||||||||
| Authors: |
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| Date: | January 2020 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Artificial Intelligence , Explainable Machine Learning, Deep Learning | ||||||||
| Event Title: | AI4OAC: workshop on AI for Ocean, Atmosphere and Climate Dynamics | ||||||||
| Event Location: | Brest, France | ||||||||
| Event Type: | Workshop | ||||||||
| Event Start Date: | 20 January 2020 | ||||||||
| Event End Date: | 23 January 2020 | ||||||||
| Organizer: | ISblue | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science | ||||||||
| Deposited By: | Karmakar, Chandrabali | ||||||||
| Deposited On: | 25 Nov 2020 17:34 | ||||||||
| Last Modified: | 24 Apr 2024 20:40 |
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