Note: This repository has been archived and now exists within ard-pipeline.
Sensor acquisition data quality characterisation
Python library that deals with the QA of satellite/sensor imagery acquisitions by their characterisation through tools such as FMask.
A pre-commit config is provided to automatically format and check your code changes. This allows you to immediately catch and fix issues before you raise a failing pull request (which run the same checks under Travis).
If you don't use Conda, install pre-commit from pip:
pip install pre-commit
If you do use Conda, install from conda-forge (required because the pip version uses virtualenvs which are incompatible with Conda's environments)
conda install pre_commit
Now install the pre-commit hook to the current repository:
pre-commit install
Your code will now be formatted and validated before each commit. You can also
invoke it manually by running pre-commit run
See the testing
directory (testing/README.md) fmask-related tests.