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Albrecht, Conrad M. and Eberle, Jonas and Schwinger, Max (2022) Open Source Science for Large-Scale Data Mining in Earth Observation. Open Source Science for the Earth System Observatory Mission Science Data Processing Study, NASA workshop #2: State-of-the-Art in Mission Data Processing Systems, 2022-03-01 - 2022-03-04, virtual: https://www.youtube.com/playlist?list=PLO2yB4LGNlWo3CecWwANHo2BALvetF4d4. doi: 10.5281/zenodo.6315122.
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Official URL: https://earthdata.nasa.gov/esds/open-science/oss-for-eso-workshops
Abstract
The presentation shares to the NASA Earth System Observatory team DLR's expertise on the design of open-source-based big geo-spatial data processing platforms for remote sensing AI workloads in the context of DLR's initiative "terrabyte" which includes planned collaboration with IBM Research.
| Item URL in elib: | https://elib.dlr.de/185458/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
| Title: | Open Source Science for Large-Scale Data Mining in Earth Observation | ||||||||||||||||
| Authors: |
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| Date: | 3 March 2022 | ||||||||||||||||
| Refereed publication: | No | ||||||||||||||||
| Open Access: | Yes | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| DOI: | 10.5281/zenodo.6315122 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | big geospatial data, scalable deep learning, remote sensing, open-source, open science, data mining, Geographic information systems | ||||||||||||||||
| Event Title: | Open Source Science for the Earth System Observatory Mission Science Data Processing Study, NASA workshop #2: State-of-the-Art in Mission Data Processing Systems | ||||||||||||||||
| Event Location: | virtual: https://www.youtube.com/playlist?list=PLO2yB4LGNlWo3CecWwANHo2BALvetF4d4 | ||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||
| Event Start Date: | 1 March 2022 | ||||||||||||||||
| Event End Date: | 4 March 2022 | ||||||||||||||||
| Organizer: | NASA Earthdata | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||
| HGF - Program Themes: | Space System Technology | ||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||||||||||
| DLR - Research theme (Project): | R - HPDA support DFD, R - HPDA use, R - HPDA implementation | ||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||
| Institutes and Institutions: | Remote Sensing Technology Institute > EO Data Science German Remote Sensing Data Center > International Ground Segment German Remote Sensing Data Center > Information Technology | ||||||||||||||||
| Deposited By: | Albrecht, Conrad M | ||||||||||||||||
| Deposited On: | 07 Mar 2022 09:11 | ||||||||||||||||
| Last Modified: | 24 Apr 2024 20:47 |
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