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Datcu, Mihai und Moigne, Jacqueline Le und Loekken, Sveinung und Soille, Pierre und Xia, Gui-Song (2020) Special Issue on Big Data From Space. IEEE Transactions on Big Data, 6 (3), Seiten 427-429. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TBDATA.2020.3015536. ISSN 2332-7790.
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Offizielle URL: https://ieeexplore.ieee.org/document/9171375
Kurzfassung
The recent multiplication of open access initiatives to Big Data from Space is giving momentum to the field by widening substantially the spectrum of scientific communities and users, as well as awareness among the public, while offering new benefits at all levels from individual citizens to the whole society. Following a detailed and rigorous review process, 14 articles have been selected out of 48 submissions for this special issue. These are briefly summarized.
| elib-URL des Eintrags: | https://elib.dlr.de/138076/ | ||||||||||||||||||||||||
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| Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||
| Titel: | Special Issue on Big Data From Space | ||||||||||||||||||||||||
| Autoren: |
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| Datum: | September 2020 | ||||||||||||||||||||||||
| Erschienen in: | IEEE Transactions on Big Data | ||||||||||||||||||||||||
| Referierte Publikation: | Nein | ||||||||||||||||||||||||
| Open Access: | Nein | ||||||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||||||||||
| In ISI Web of Science: | Ja | ||||||||||||||||||||||||
| Band: | 6 | ||||||||||||||||||||||||
| DOI: | 10.1109/TBDATA.2020.3015536 | ||||||||||||||||||||||||
| Seitenbereich: | Seiten 427-429 | ||||||||||||||||||||||||
| Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||
| ISSN: | 2332-7790 | ||||||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||||||
| Stichwörter: | Big Data, Sensor, Computational Imaging, Space | ||||||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||
| HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||
| DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben hochauflösende Fernerkundungsverfahren (alt) | ||||||||||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||||||||||
| Hinterlegt von: | Karmakar, Chandrabali | ||||||||||||||||||||||||
| Hinterlegt am: | 25 Nov 2020 16:29 | ||||||||||||||||||||||||
| Letzte Änderung: | 24 Okt 2023 12:55 |
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