Tell a friend
Print
Datcu, Mihai and Moigne, Jacqueline Le and Loekken, Sveinung and Soille, Pierre and Xia, Gui-Song (2020) Special Issue on Big Data From Space. IEEE Transactions on Big Data, 6 (3), pp. 427-429. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TBDATA.2020.3015536. ISSN 2332-7790.
Full text not available from this repository.
Official URL: https://ieeexplore.ieee.org/document/9171375
Abstract
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.
| Item URL in elib: | https://elib.dlr.de/138076/ | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Article | ||||||||||||||||||||||||
| Title: | Special Issue on Big Data From Space | ||||||||||||||||||||||||
| Authors: |
| ||||||||||||||||||||||||
| Date: | September 2020 | ||||||||||||||||||||||||
| Journal or Publication Title: | IEEE Transactions on Big Data | ||||||||||||||||||||||||
| Refereed publication: | No | ||||||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||||||
| Volume: | 6 | ||||||||||||||||||||||||
| DOI: | 10.1109/TBDATA.2020.3015536 | ||||||||||||||||||||||||
| Page Range: | pp. 427-429 | ||||||||||||||||||||||||
| Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||
| ISSN: | 2332-7790 | ||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||
| Keywords: | Big Data, Sensor, Computational Imaging, Space | ||||||||||||||||||||||||
| 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 16:29 | ||||||||||||||||||||||||
| Last Modified: | 24 Oct 2023 12:55 |
Repository Staff Only: item control page
