sen2cor-processor.md

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-# Part 2 - Sen2Cor processor
+# Part 2 - Running a processor
 
-Sen2Cor performs atmospheric correction on Sentinel 2 L1C images to produce Bottom-of-Atmosphere reflectances products (L2A).
+We will use the Sen2Cor processor as an example. Sen2Cor performs atmospheric correction on Sentinel 2 L1C images to produce Bottom-of-Atmosphere reflectances products (L2A).
 Developed by Telespazio/DLR for ESA
 Reference: http://step.esa.int/main/third-party-plugins-2/sen2cor/
 
-In the previous part, we add a Sentinel 2 L1C images in "my Data" (over Venice). This image will be used as an input for Sen2Cor processor in order to get a L2A product. The following steps will show you how to run the processor and retrieve the output in your "basket".
+In the previous part, we have selected a Sentinel 2 L1C images and placed it in the "Input Data" clipboard. We will now apply the Sen2cor processor to this product to generate a Level 2A product. The following steps will show you how to run the processor and visualize the results.
 
-## 1. Go to the processors panel.
-Select SEN2COR processor and click on the "arrow button".
-![im19](https://gitlab.acri-cwa.fr/coastal-tep/tutorial/raw/master/images/part2/v2/im1.png)
 
-## 2. A dialog box will appear.
-Select the inputs (here S2-L1C products) and the different parameters (resolution, classification...).
-Click on Execute.
-![im20](https://gitlab.acri-cwa.fr/coastal-tep/tutorial/raw/master/images/part2/v2/im2.png)
+Go to the processors panel. The first tab lists the processors approved by the CTEP. The other tabs contain contributed processors and your personal proccesors. In the first tab, select the SEN2COR processor.
+
+<img src="https://gitlab.acri-cwa.fr/coastal-tep/tutorial/raw/master/images/part2/v2/im1.png" width="75%">
+
+The first box allows you to give a title to your job. In the present case it will be "Venice". If you don't fill this box, the title will be an alphanumeric identifier.
+
+<img src="https://gitlab.acri-cwa.fr/coastal-tep/tutorial/raw/master/images/part2/v2/im2.png" width="75%">
+
+To select your input product, press the "+" button near the product in the Input Data clipboard. You can visualize the product footprint on the map for verification.
+
+<img src="https://gitlab.acri-cwa.fr/coastal-tep/tutorial/raw/master/images/part2/v2/im2.png" width="75%">
 
 ## 3. After few minutes the processing is done. 
 Close the dialog box.