Cloud masking
(→Sentinel-2 cloud mask) |
(→Sentinel-2 cloud mask) |
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− | = Sentinel-2 cloud mask = | + | = Inspect a Sentinel-2 Level-2A cloud mask = |
The exclusion of clouds and cloud shadow is an important processing step which is usually done in an early pre-processing stage. | The exclusion of clouds and cloud shadow is an important processing step which is usually done in an early pre-processing stage. | ||
The Sentinel-2 products are annotated with Quality Indicators (QI_DATA). | The Sentinel-2 products are annotated with Quality Indicators (QI_DATA). |
Revision as of 13:59, 10 November 2020
Contents |
Inspect a Sentinel-2 Level-2A cloud mask
The exclusion of clouds and cloud shadow is an important processing step which is usually done in an early pre-processing stage. The Sentinel-2 products are annotated with Quality Indicators (QI_DATA).
If you use a Sentinel-2 Level 1C product, you'll find a rough dense cloud and cirrus mask (GML vector format) in the folder QI_DATA with the file name MSK_CLOUDS_B00.gml. The vector attribute column masktype distinguishes two classes: OPAQUE (dense clouds) and CIRRUS.
In case of a Sentinel-2 Level 2A product you may find a file in the folder QI_DATA with the extension _CLD_20m.jp2 (data type: 8bit unsigned integer, spatial resolution 20m) which might be used for masking clouds. Data range is from 0 for high confidence clear sky to 100 for high confidence cloudy (for more details see L2A Product Definition Document).
- Load a multiband Sentinel-2 satellite image (Level 2-A product) Changing Raster Layer Style to display a true color (RGB = B4,B3,B2) and a standard false color composite (RGB = B8,B4,B3)
- Zoom in to a cloudy part of the image and compare the extent of cloud and cloud shadow in both composites. Which composite is better for displaying clouds?
- Overlay the QI Cloud band on top of the color composites. Use the Identify Feature Tool for requesting pixel values of the QI band file inside a cloud. Which values represent clouds?
- Change Render type Singelband pseudocolor
- Interpolation is discrete.
- Choose Color ramp spectral
- Mode is equal with
- Interval Classes is 10 as shown in the screenshot.
- Double click on a color field of some classes {{mitem|text=Layer --> Properties --> Style) to open the change color window. Change the opacity from 100% to 0%. Find the threshold for clouds.
Refining cloud mask
- Create a binary cloud mask (bitmask) where clouds = 1 and non-clouds = 0. Use the Processing tool OTB --> Miscellaneous --> Band Math. Tick the single band QI layer in the Input Image list list. You may write a conditional ifelse expression using lazy operators. Type into the Expression field: (im1b1>30)?1:0 If pixel values of band 1 of multiband image 1 are larger than 30 then replace with 1 otherwise replace with 0. The output pixel type is uint16.
- Apply a circular majority filter with a radius of 16 pixels. Open the Processing tool OTB --> Learning --> ClassificationMapRegularization. The input classifcation image is the Output Image of the band math operation step. Structering element radius is 16 pixels. Adjust Label for NoDat and undecided class. Specify a file name for the Output regularized image. Output pixel type is uint16.
- Open the Processing tool OTB --> Feature Extraction --> BinaryMorphologicalOperation (dilate). Choose the Regularized image as input image. The structuring element type is ball with a radius of 21 pixelsOoutput pixel type is uint16
- Convert the Feature Output Imge from raster to vector format. Raster --> Conversion --> Polygonize. Select an output file name for vector polygons.
- Change the display of the output vector polygon layer Layer properties --> Style --> Single Symbol --> Simple Fill --> Fill Style from Solid to No Brush. Change the Outline color to bright green and increase the Outline width. As background layer use a False Color Composite of the Sentinel-2 image.
- Toggle editing of the resulting vector polygon layer. Activate Select polygons by dragging a box or by single click , select all polygons with attribute DN = 0 or which are misclassified as clouds and delete them by pressing Del on your keyboard. Save your edits .
Creating cloud shadow mask
- Prepare a False color composite of the Sentinel-2 image as background layer in the canvas.
- Right click on the edited polygon layer in the TOC. Choose Export --> Save features as.... Fill the form as shown below.
- Mark the new created polygon layer in the TOC and toggle editing of the vector file. Select all polygons using or press Ctrl + A. Activate Edit --> Move feature(s) . Left click on the canvas and move the cloud polygons that shadows on the background false color composite are completely covered. Save your edits and stop editing .
- Select polygons outside the image extent of the false color composite and delete them by pressing Del on your keyboard. Save your edits and stop editing .
Applying cloud and cloud shadow mask
- Vector --> Data management tools --> Merge vector layers. as Layer to merge select the cloud and cloud_shadow polygon layers. Run.
- Create a polygon with the extent of the Sentinel-2 image: Create image extent polygon.
- Vector --> Geoprocessing Tools --> Symmetrical difference. Input layers are the image extent and the merged cloud and cloud_shadow polygons.
- Apply the output vector layer Cleaned as mask to the multiband Sentinel-2 image file. Raster --> Extraction --> Clip Raster by Mask Layer.
Graphical Processing Tool Model
You can use a prepared graphical processing toolbox model. Download the file from Stud.IP:S2cloudDetection.model3.
- Open QGIS and go to the Processing Toolbox; if the Toolbox is not opened click Processing --> Toolbox to activate it. Once the Toolbox is opened go to Models --> Open existing models and load the previously downloaded model.
- The model should appear in the Models tab. Double click on it to execute.
- A window showing the different input and outputs should appear, just as if you were using any other geo-algorithm of the Processing Toolbox.
- You will just need to provide a multispectral Sentinel-2 image file with 10 ordered bands (B2, B3, B4, B5, B6, B7, B8, B8A, B11, B12).