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README.md

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@@ -31,6 +31,16 @@ Python is required for most openEO workflows in which performance critical parts
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Usually, this is done in C, e.g., array operations in numpy.
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Julia provides an alternative to accellerate code using a more user-friendly language.
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## Development
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Development workflow:
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1. Write Julia code at https://github.com/EarthyScience/RQADeforestation.jl
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1. Compile using [`StaticCompiler`](https://github.com/EarthyScience/RQADeforestation.jl/tree/main/staticcompiler)
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1. Put the binary libraries at [`rqadeforestation/lib`](rqadeforestation/lib)
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1. Add python binding functions to this package
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1. Install this package in openEO and use it in an [User-Defined-Function](https://open-eo.github.io/openeo-python-client/udf.html#declaration-of-udf-dependencies)
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## Citation
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F. Cremer, M. Urbazaev, J. Cortés, J. Truckenbrodt, C. Schmullius and C. Thiel, "Potential of Recurrence Metrics from Sentinel-1 Time Series for Deforestation Mapping," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 5233-5240, 2020, doi: [10.1109/JSTARS.2020.3019333](https://dx.doi.org/10.1109/JSTARS.2020.3019333).

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