Sentinel 2 Satellite Images open in Google Earth Engine and layer add in map with TCC and FCC.
Here we will be doing Sentinel 2 satellite image open by Google Earth Engine (GEE), Here we will open the sentinel 2 image, we will see it as a True color composition (TCC) and in False color composition (FCC) images using Google Earth engine (GEE).
At first import the layer of AOI/ROI or point and sentinel satellite image in GEE.
Than write the code in editor section.
Define visualization parameters in a JavaScript dictionary for true color rendering. Bands 4,3, and 2 are needed for RGB (true color composite).
Define visualization parameters in a JavaScript dictionary for true color rendering. Bands 8,4,3 are needed for RGB (false color composite).
the programming code is given below to make the process easier.
CODE:
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// Let’s define the image collection we are working with by writing this command. // We are creating a new variable 'image' that will come from the L8 collection we have imported. (Please Change the name "S2") var image = ee.Image(S2 // We will then include a filter to get only images in the date range we are interested in .filterDate("2019-07-01", "2022-03-30") // Next we include a geographic filter to narrow the search to images at the location of our ROI point. (Please Change the name "ROI") .filterBounds(ROI) // Next we will also sort the collection by a metadata property, in our case cloud cover is a very useful one .sort("CLOUD_COVERAGE_ASSESSMENT") // Now lets select the first image out of this collection - i.e. the most cloud free image in the date range .first()); // And let's print the image to the console. print("A Sentinel scene:", image); // Define visualization parameters in a JavaScript dictionary for true colour rendering. // Bands 4,3, and 2 are needed for RGB (true colour composite). var trueColour = { bands: ["B4", "B3", "B2"], min: 0, max: 3000 }; // Define visualization parameters in a JavaScript dictionary for true colour rendering. // Bands 8,4,3 are needed for RGB (false colour composite). var falseColour = { bands: ["B8", "B4", "B3"], min: 0, max: 3000 }; // Centre the scene to the ROI Map.centerObject(ROI, 12); // Add the image to the map, using the visualization parameters. Map.addLayer(image, trueColour, "true-colour image"); // Add the image to the map, using the visualization parameters. Map.addLayer(image, falseColour, "false-colour image");
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