| タイトル | Architectures Toward Reusable Science Data Systems |
| 本文（外部サイト） | http://hdl.handle.net/2060/20150001350 |
| 著者（英） | Moses, John Firor |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2014-12-15 |
| 言語 | eng |
| 内容記述 | Science Data Systems (SDS) comprise an important class of data processing systems that support product generation from remote sensors and in-situ observations. These systems enable research into new science data products, replication of experiments and verification of results. NASA has been building systems for satellite data processing since the first Earth observing satellites launched and is continuing development of systems to support NASA science research and NOAA's Earth observing satellite operations. The basic data processing workflows and scenarios continue to be valid for remote sensor observations research as well as for the complex multi-instrument operational satellite data systems being built today. |
| NASA分類 | Earth Resources and Remote Sensing; Documentation and Information Science |
| レポートNO | GSFC-E-DAA-TN19809 |
| 権利 | No Copyright |
