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Pure Python port of ESA's Sentinel-2 radiometric uncertainty tool

Project description

s2_rut_python

Pure Python port of ESA's Sentinel-2 radiometric uncertainty tool.

s2_rut_python computes per-pixel radiometric uncertainties for Sentinel-2 Level 1C reflectance data, following the methodology of Gorrono et al. (2017). Outputs are stored in the obsarray uncertainty accessor format.

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 ".[dev]"      # Development tools (ruff, mypy, pytest, …)
pip install -e ".[docs]"     # Documentation build (sphinx, …)

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

s2_rut_python requires Python 3.11 or later and is tested on Python 3.11, 3.12, and 3.13.

Licence

s2_rut_python is released under the GNU Lesser General Public License v3 (LGPLv3). See the LICENSE file for the full licence text.

Authors

s2_rut_python is developed and maintained by the MetEOR Toolkit Team.

Citations

Gorrono, J.; Fomferra, N.; Peters, M.; Gascon, F.; Underwood, C.I.; Fox, N.P.; Kirches, G.; Brockmann, C. A Radiometric Uncertainty Tool for the Sentinel 2 Mission. Remote Sens. 2017, 9, 178. https://doi.org/10.3390/rs9020178

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