1 / 17

Getting Planetary Science Data

Getting Planetary Science Data. Dr. Eric E. Palmer Principal Investigator of the Asteroid/Dust Subnode of the PDS. Deployed to Saudi Arabia. Studying Asteroids. ?. Hard to find data. ?. ?. Lunar and Planetary Lab U of Az. Two Projects. Shape Models for OSIRIS-REx.

creola
Télécharger la présentation

Getting Planetary Science Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Getting Planetary Science Data Dr. Eric E. Palmer Principal Investigator of the Asteroid/Dust Subnode of the PDS

  2. Deployed to Saudi Arabia

  3. Studying Asteroids ? Hard to find data ? ?

  4. Lunar and Planetary Lab U of Az

  5. Two Projects Shape Models for OSIRIS-REx Archiving Asteroid/Dust Data

  6. My Goal: Help you understand how to get data from the PDS

  7. Where does planetary data come from? • Current missions • Many missions actively support Citizen Science

  8. Where does planetary data come from? • Make your own data • Backyard telescopes

  9. Old data Missions and some ground-base observations Where does planetary data come from?

  10. Planetary Data System • Federation of nodes focused on different types of data • Range from simple optical images to complex magnetic fields • Primary Goal: Archive data • The archive has matured over time with better searching and metadata as time has gone on • Secondary Goal: Host the data • Provide the data for access • Started with physical images and print documents • Eventually CDs/DVDs. Now downloads • Host the data in usable format • Provide tools to search through huge collections of data

  11. PDS Nodes • Node are generally set up by “Discipline” — meaning they focus on a category of data rather than a specific target • Geoscience • Imaging (Cartography) • Atmosphere • Planetary Plasma Interactions (solar wind, magnetosphere) • Navigational & Ancillary Information (NAIF) • Two are more “Target” specific • Ring-Moon Systems • Small Bodies

  12. Challenges • Lots of data • Not always organized the way expected • Difficult to find out who to talk to • Contact any node • Contact a node that appears to be relevant • http://pds.nasa.gov • Card by the PDS table in the lobby

  13. Using PDS Search

  14. Using PDS Search (cont)

  15. Geosciences — • Mercury • Venus • Moon • Mars • Jupiter’s 4 largest moons • Imaging and Cartography — • A copy of every image (except for LRO) • Topography of Moon and Mercury • Geologic Map • Planetary Plasma Interactions — • Solar Wind • Magnetosphere and fields • Atmosphere — • Saturn • Uranus • Neptune • Rings and Moon Systems — • Jupiter and Saturn’s rings • Small moons that interact with the rings • Small Bodies — • Asteroids • Comets • Dust • NAIF — • Handles spacecraft telemetry to calculate spacecraft position and what it was pointing at when data was collected

  16. Things to Consider • Almost every instrument was custom built to be optimized for the mission • Data is complex • Require careful calibration, processing and evaluation • Data formats are frequently unique • Standard “consumer” tools seldom work • Documentation, if available, is usually technical

  17. Things To Consider • Most of the data is in large groups called Bundles or Collections • Thus, require large downloads and effort to parse through the data to locate specific things • As of right now, only “images” can be searched as a specific observation • Nodes with image data have tools to search by latitude, longitude, pixel resolution, observational parameters, etc. • Other data (spectra, dust count, magnetic fields, etc.) were not provided in a way that facilitates search • Images are one of the most used data sets

More Related