Name
Abstract | ||
|---|---|---|
The Hierarchical Data Format (HDF) has been a data format standard in National Aeronautic and Space Administration (NASA)'s Earth Observing System Data and Information System since the 1990s. Its rich structure, platform independence, full-featured application programming interface (API), and internal compression make it very useful for archiving science data and utilizing them with a rich set of ... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TGRS.2008.2004626 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Earth Observing System,NASA,Information systems,Application software,Software tools,Resource management,Collaboration,Geoscience,Prototypes,Testing | Data structure,Hierarchical Data Format,Computer science,Remote sensing,Data conversion,Software,Application programming interface,Application software,Group method of data handling,Data management,Database | Journal |
Volume | Issue | ISSN |
47 | 1 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruth E. Duerr | 1 | 91 | 12.97 |
| Peter Cao | 2 | 0 | 0.68 |
| Jonathan Crider | 3 | 7 | 1.17 |
| Mike Folk | 4 | 0 | 0.68 |
| Christopher Lynnes | 5 | 35 | 10.26 |
| Mu Qun Yang | 6 | 0 | 0.34 |