dc.contributor.author |
Law, Emily |
|
dc.contributor.author |
Change, George |
|
dc.contributor.author |
Kim, Richard |
|
dc.contributor.author |
Malhotra, Shan |
|
dc.date.accessioned |
2020-03-12T20:49:52Z |
|
dc.date.available |
2020-03-12T20:49:52Z |
|
dc.date.issued |
2017-11-28 |
|
dc.identifier.citation |
2017 Conference on Big Data from Space (BiDS'17), Toulouse, France, November 28-30, 2017 |
en_US |
dc.identifier.clearanceno |
CL#17-5854 |
|
dc.identifier.uri |
http://hdl.handle.net/2014/47581 |
|
dc.description.abstract |
NASA's earth and planetary spacecraft return large amounts
of remote sensing data, such as imagery and raw science
measurements, in support of remarkable research. Not only
does the data lead to new scientific discoveries about our
planet and the solar system, it provides a wealth of
information to educate, inspire, and engage the public at
large. To leverage this rich data for mission planning,
scientific research, public outreach and education, it is
essential to make it accessible and understandable,
analyzable, all while appealing to their interests. This
presentation will highlight web-based capabilities that
showcase NASA's large volume of lunar data collected from
past and current Moon missions. It is particularly relevant as
the new Administration has more plans for the Moon. We
will illustrate big data visualization and analysis in easy-touse
and interactive mediums for diverse use. |
en_US |
dc.description.sponsorship |
NASA/JPL |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2017 |
en_US |
dc.title |
Big lunar data visualization and analysis |
en_US |
dc.type |
Preprint |
en_US |