Match up dataset generation for Earth Observation satellites
Project description
eomatch
Match up dataset generation for Earth Observation satellites.
eomatch identifies and indexes instances where two satellite scenes overlap
in space and time, builds collocated datasets from them, and manages the
results as versioned STAC catalogues.
Warning: This software is in beta. Results should be used with caution. Please share any feedback via the issue tracker.
Usage
Virtual environment
It is always recommended to use a virtual environment for each Python project. Use your preferred environment manager, or create one with:
python -m venv venv
Activate it on Windows with venv\Scripts\activate, or on macOS/Linux with
source venv/bin/activate.
Installation
Install the package and its core dependencies:
pip install -e .
Optional extras are available depending on your use case:
pip install -e ".[ingest]" # pgSTAC database ingestion (pypgstac)
pip install -e ".[query]" # STAC API querying (pystac-client)
pip install -e ".[enrich]" # Geometric and solar-angle enrichment
pip install -e ".[dev]" # Development tools (ruff, mypy, pytest, …)
pip install -e ".[docs]" # Documentation build (sphinx, …)
To install all extras at once:
pip install -e ".[ingest,query,enrich,dev,docs]"
Development
Install the pre-commit hooks after cloning:
pre-commit install
When you commit, ruff will lint and format your code. If it makes
corrections the commit will be aborted so you can review the changes — just
commit again once you are happy.
Run the test suite with:
pytest
Compatibility
eomatch requires Python 3.11 or later and is tested on Python 3.11, 3.12,
and 3.13.
Licence
eomatch is released under the GNU Lesser General Public License v3 (LGPLv3).
See the LICENSE file for the full licence text.
Authors
eomatch is developed and maintained by the
MetEOR Toolkit Team.
Project details
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