FCC IMAGE COMPOSITION IN GOOGLE EARTH ENGINE

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A False Color Composite (FCC) in the context of Landsat 8 imagery within Google Earth Engine is a composite image created by combining selected spectral bands from Landsat 8 data and assigning them to the red, green, and blue color channels of the image display. This technique is used to enhance specific features and characteristics of the Earth's surface for better visualization and analysis.

  1. Image Collection and Filtering: In Google Earth Engine, you'll typically work with an image collection, filtering it based on your area of interest and the time frame of interest (e.g., date range and cloud cover constraints). This ensures you are using the most relevant Landsat 8 images for your analysis.
  2. Creating the FCC Image: Once you have the filtered image collection, you can create the False Color Composite image by using the selected bands
False Color Composites created in Google Earth Engine are valuable for various remote sensing applications, including vegetation health assessment, land cover analysis, and environmental monitoring

  1.  Insert the study area using assets
  2.  // Import the required satellite image
    • var image = ee.ImageCollection("COPERNICUS/S2_SR_HARMONIZED")
    • print('Original Image Collection Size:', image.size())
  3. // Filter the Image based on required date
    • var filterdt_image = image.filterDate('2020-01-01', '2020-12-30')
    • print('Filtered by Date Image Collection Size:', filterdt_image.size())
  4. // Filter the Image based on required cloud cover
    • var filtercloud = image.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 2))
    • print('Filtered by Cloud Cover Image Collection Size:', filtercloud.size())
  5. //// Filter the Image based on area boundary
    • var filteraoibound = image.filterBounds(aoi)
    • print('Filtered by AOI Image Collection Size:', filteraoibound.size())
  6. // Clip the Image
    • var clipped_image = filteraoibound.median()
    • var Final = clipped_image.clip(aoi)
  7. // Add the final image to the map
    • Map.addLayer(Final,imageVisParam,"Final_image")
    • Map.centerObject(aoi,12)
    • print('Clipped Image:', Final)





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