NASA / USGS Europa Controlled Observation Mosaics

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/nasa-usgs-europa-mosaics-dataset")

fs.listdir("s3://astrogeo-ard/jupiter/europa/galileo_voyager/usgs_controlled_mosaics/")

Description:

The Solid State Imager (SSI) on NASA's Galileo spacecraft acquired more than 500 images of Jupiter's moon, Europa. These images vary from relatively low-resolution hemispherical imaging, to high-resolution targeted images that cover a small portion of the surface. Here we provide a set of 92 image mosaics generated from minimally processed, projected Galileo images with photogrammetrically improved locations on Europa's surface.

These images provide users with nearly the entire Galileo Europa imaging dataset at its native resolution and with improved relative image locations. The Solid State Imager on NASA's Galileo spacecraft provided the only moderate- to high-resolution images of Jupiter's moon, Europa. Unfortunately, uncertainty in the position and pointing of the spacecraft, as well as the position and orientation of Europa, when the images were acquired resulted in significant errors in image locations on the surface. The result of these errors is that images acquired during different Galileo orbits, or even at different times during the same orbit, are significantly misaligned (errors of up to 100 km on the surface).

The dataset provides a set of individual images that can be used for scientific analysis and mission planning activities.

Contact:

The Solid State Imager (SSI) on NASA's Galileo spacecraft acquired more than 500 images of Jupiter's moon, Europa. These images vary from relatively low-resolution hemispherical imaging, to high-resolution targeted images that cover a small portion of the surface. Here we provide a set of 92 image mosaics generated from minimally processed, projected Galileo images with photogrammetrically improved locations on Europa's surface.

These images provide users with nearly the entire Galileo Europa imaging dataset at its native resolution and with improved relative image locations. The Solid State Imager on NASA's Galileo spacecraft provided the only moderate- to high-resolution images of Jupiter's moon, Europa. Unfortunately, uncertainty in the position and pointing of the spacecraft, as well as the position and orientation of Europa, when the images were acquired resulted in significant errors in image locations on the surface. The result of these errors is that images acquired during different Galileo orbits, or even at different times during the same orbit, are significantly misaligned (errors of up to 100 km on the surface).

The dataset provides a set of individual images that can be used for scientific analysis and mission planning activities.

Update Frequency:

No future updates planned.

Managed By:

https://www.nasa.gov

Resources:

1. resource:
   • Description: Scenes and metadata
   • ARN: arn:aws:s3:::astrogeo-ard/jupiter/europa/galileo_voyager/usgs_controlled_mosaics/
   • Region: us-west-2
   • Type: S3 Bucket
   • Explore: STAC Catalog

Tags:

aws-pds, planetary, satellite imagery, stac, cog

Tutorials:

1. tutorial:

   • Title: Discovering and Downloading Data via the Command Line
   • URL: https://stac.astrogeology.usgs.gov/docs/tutorials/cli/
   • AuthorName: J. Laura
   • AuthorURL: https://astrogeology.usgs.gov

2. tutorial:

   • Title: Discovering and Downloading Data with Python
   • URL: https://stac.astrogeology.usgs.gov/docs/tutorials/basicpython/
   • AuthorName: J. Laura
   • AuthorURL: https://astrogeology.usgs.gov

3. tutorial:

   • Title: Querying for Data in an ROI and Loading it into QGIS
   • URL: https://stac.astrogeology.usgs.gov/docs/examples/to_qgis/
   • AuthorName: J. Laura
   • AuthorURL: https://astrogeology.usgs.gov

Tools & Applications:

1. tools & applications:
   • Title: PySTAC Client
   • URL: https://github.com/stac-utils/pystac-client
   • AuthorName: PySTAC-Client Contributors
   • AuthorURL: https://github.com/stac-utils/pystac-client/graphs/contributors