Tell a friend
Print
Vaduva, Corina and Iapaolo, Michele and Datcu, Mihai (2020) A Scientific Perspective on Big Data in Earth Observation. In: Principles of Data Science Transactions on Computational Science and Computational Intelligence. Springer Nature Switzerland AG. pp. 155-188. doi: 10.1007/978-3-030-43981-1_8. ISSN 2569-7072.
Full text not available from this repository.
Official URL: https://link.springer.com/book/10.1007/978-3-030-43981-1
Abstract
The areas of Earth Observation (EO) are fast evolving, impacting a broad range of application domains. The new capabilities that appear in the EO domain are broadly augmented by the present technological evolution. This chapter presents how EO data can be transformed in knowledge and amplified through artificial intelligence and cloud computing.
| Item URL in elib: | https://elib.dlr.de/138141/ | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Book Section | ||||||||||||||||
| Title: | A Scientific Perspective on Big Data in Earth Observation | ||||||||||||||||
| Authors: |
| ||||||||||||||||
| Date: | 2020 | ||||||||||||||||
| Journal or Publication Title: | Principles of Data Science | ||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||
| Open Access: | No | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| DOI: | 10.1007/978-3-030-43981-1_8 | ||||||||||||||||
| Page Range: | pp. 155-188 | ||||||||||||||||
| Publisher: | Springer Nature Switzerland AG | ||||||||||||||||
| Series Name: | Transactions on Computational Science and Computational Intelligence | ||||||||||||||||
| ISSN: | 2569-7072 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | EO, AI | ||||||||||||||||
| 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: | Dumitru, Corneliu Octavian | ||||||||||||||||
| Deposited On: | 27 Nov 2020 15:29 | ||||||||||||||||
| Last Modified: | 03 Aug 2023 07:54 |
Repository Staff Only: item control page
