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worked on tutorial
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docs/source/howto/udf.rst

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@@ -81,7 +81,7 @@ In this tutorial, we will implement the medoid, a compositing technique heavily
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.. figure:: img/tutorial-udf-medoid-flood.png
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*Illustrative example of medoid selection in 2-dimensional space* |copy| `*Neil Flood / Remote Sensing* <https://www.mdpi.com/2072-4292/5/12/6481>`_
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*Illustrative example of medoid selection in 2-dimensional space* |copy| `Neil Flood / Remote Sensing <https://www.mdpi.com/2072-4292/5/12/6481>`_
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First, we generate a FORCE parameter file:
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Then, we tell FORCE where to find the UDF script, and that the UDF shall be a pixel function.
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This means that we need to provide some *Python* code that works on the *time series of a single pixel*.
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The last parameter tells FORCE that we activate UDF processing and output the designated product (``PYP - **Py**thon **P**lugin`` that is).
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The last parameter tells FORCE that we activate UDF processing and output the designated product (``PYP`` - **Py**thon **P**lugin that is).
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.. code-block:: none
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@@ -226,7 +226,7 @@ How about the popular `harmonic model <https://www.sciencedirect.com/science/art
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.. figure:: img/tutorial-udf-harmonic-zhu.png
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*Harmonic models fitted to a Landsat time series |copy| `Zhe Zhu / Remote Sensing of Environment <https://www.sciencedirect.com/science/article/abs/pii/S0034425715000590?via%3Dihub>`_*
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*Harmonic models fitted to a Landsat time series* |copy| `Zhe Zhu / Remote Sensing of Environment <https://www.sciencedirect.com/science/article/abs/pii/S0034425715000590?via%3Dihub>`_
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Let’s generate a FORCE parameter file:
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.. figure:: img/tutorial-udf-dhi-hobi.png
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*Calculation of the DHIs |copy| `Martina Hobi / Remote Sensing of Environment <https://www.sciencedirect.com/science/article/abs/pii/S0034425717301682>`_*
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*Calculation of the DHIs* |copy| `Martina Hobi / Remote Sensing of Environment <https://www.sciencedirect.com/science/article/abs/pii/S0034425717301682>`_
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Generate a FORCE parameter file:

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