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Adding S3 OTCI index
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README.md

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@@ -120,6 +120,9 @@ Sentinel-3 is a low Earth-orbit moderate size satellite compatible with small la
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#### Enhanced true color scripts
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- [Enhanced true color](sentinel-3/enhanced_true_color)
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- [Enhanced true color-2](sentinel-3/enhanced_true_color-2)
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#### Remote sensing indices
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- [OTCI](sentinel-3/otci) - Terrestrial chlorophyll index
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## <a name="sentinel-5P"></a>Sentinel-5P

sentinel-3/otci/README.md

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# OTCI - OLCI terrestrial chlorophyll index
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<a href="#" id='togglescript'>Show</a> script or [download](script.js){:target="_blank"} it.
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<div id='script_view' style="display:none">
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{% highlight javascript %}
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{% include_relative script.js %}
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{% endhighlight %}
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</div>
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## Evaluate and visualize
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- [EO Browser](https://apps.sentinel-hub.com/eo-browser/?lat=44.868&lng=11.415&zoom=7&time=2019-06-30&preset=2_OTCI&datasource=Sentinel-3%20OLCI){:target="_blank"}
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## Description
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OTCI, the Terrestrial Chlorophyll Index, can be used to assess chlorophyll content over land to monitor vegetation condition and health.
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It is produced globally at 300m spatial resolution from OLCI data on the Sentinel 3 mission.
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The theoretical basis document on OTCI is available [here.](https://sentinel.esa.int/documents/247904/349589/OLCI_L2_ATBD_OLCI_Terrestrial_Chlorophyll_Index.pdf){:target="_blank"}.
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Blue colors display extremely low OTCI values. They usually signify water, sand or snow.
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Extremely high values, displayed with white, usually suggest the absence of chlorophyll as well. They generally represent either bare ground, rock or clouds.
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The chlorophyll values in between range from red (low chlorophyll values) to dark green (high chlorophyll values) and can be used to determine vegetation health.
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## Description of representative images
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OTCI in Europe, acquired on 30.6.2019.
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![OTCI in Europe](fig/fig1.jpg)
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## Contributors:
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Monja Sebela
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sentinel-3/otci/fig/fig1.jpg

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sentinel-3/otci/script.js

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// Sentinel-3 OTCI - OLCI terrestrial chlorophyll index
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var OTCI = (B12 - B11) / (B11 - B10);
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return colorBlend
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(OTCI,
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[ 0, 1, 1.8, 2.5, 4, 4.5, 5],
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[
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[0, 0, 0.5],
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[0, 0.3, 0.8],
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[1, 0.2, 0.2],
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[1, 0.9, 0],
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[0, 0.8, 0.1],
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[0, 0.6,0.2],
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[1, 1, 1],
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]);
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