The Surface Imaging discipline dictionary model is associated with imaging and spectrometer data products of surface missions.
Steward: IMG Node
See this dictionary's online documentation at https://pds-data-dictionaries.github.io/ldd-img_surface for a User Guide and Detailed Documentation on this dictionary.
In this repo you will find...
- src - The managed IngestLDD file that defines this dictionary. This is where changes to the dictionary itself are made.
- build - The generated schema files for this dictionary. The .xsd and .sch files can be found here, among other LDDTool output
- test - The regression tests for this dictionary.
- logs - Logs generated by the GitHub-automated build and test processes of LDDTool and Validate
- .github - Internal files used to manage the automated build processes
See the tutorial on updating and building an IngestLDD and the LDD Update Process for more details.
See the LDD Update Process
Have a bug or feature request? Create one in the PDS4 Issue Repo.
See the PDS Data Dictionaries Support page for more Support information.
Each build is auto-generated using Github Actions, PDS4 LDDTool, and Validate Tool.
You can manually run LDDTool on the IngestLDD using the following command:
lddtool -lpsnJ MY_IngestLDD.xml
This is auto-generated by Github Actions, but if you would like to generate on your laptop:
`. Install Python dependencies (preferable within a Python virtual environment)
pip install -r requirements
- Make the docs
cd docs
make clean html
- Preview the html in your browser
open build/html/index.html
- Install additional dependencies:
On a Mac:
brew install texlive
On Linux:
apt-get install texlive-latex-recommended texlive-latex-extra texlive-fonts-recommended
- Make the PDF
cd docs
make latexpdf
- Preview the PDF
# filename will vary depending upon the project name specified in conf.py
open build/latex/img-surfacenamespace.pdf