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ATCOR3: Atmospheric Correction for Rugged Terrain. Litia Gaunavou SPC-SOPAC. Software. Spectra Module Haze Removal Atmospheric and Topographic Correction General Value Adding Products. Haze Removal 1. Masking of image.
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ATCOR3: Atmospheric Correction for Rugged Terrain LitiaGaunavou SPC-SOPAC
Software • Spectra Module • Haze Removal • Atmospheric and Topographic Correction General • Value Adding Products
Haze Removal 1 Masking of image - Analysing ration near infra-red, blue where the near infra-red is more affected by haze Raw Landsat Image Clear - Areas/Haze Mask
Haze Removal 2 & 3 - Calculate “clear line” from not affected areas
Haze Removal 4 Raw Landsat TM Image HOT levels
Haze Removal 5 - Changing image appearance for masked areas by shifting pixel values in relation to “clear line”
Result Raw LandSat 4 TM (Fiji – 1991) Haze Corrected LandSat 4 TM
Result Raw ALOS (Fiji 2007) Haze Corrected ALOS
Limitations: • Needs both clear and hazy areas • Does remove haze but not clouds • Does not work over water • Requires multispectral image data
Relief, Moisture, Reflectance East West
Atmospheric Correction 3 • Path radiance • Pixel radiation • Adjacency radiation • Terrain radiation
Atmospheric Correction 3 • - View Angle • - DEM • Sensor type • Calibration data • Sun angle
Applying ATCOR View Angle Different view angles will be analyzed Differently
DEM • Most critical parameter in ATCOR3 • Used to calculate the different reliefs • Used to derive terrain files • Slope • Aspect • Skyview • Shadow
DEM Components Generation of terrain files Shadow Slope Aspect Sky view
Artefacts - Artefacts in the output data
Calibration data • Stores the band specific radiometric calibration values for each supported sensor • Provided by the satellite vendor Sun Angle - Calculated from the acquisition day and time of the image
ATCOR3 Results Raw Landsat 4 TM (Fiji 1991) Landsat 4 TM (Fiji) + ATCOR3
ATCOR3 Results Raw ALOS Image (Fiji 2007) ALOS Image + ATCOR3
ATCOR3 Results Raw ALOS image ALOS image + ATCOR3
ATCOR3 Summary • Produces sharp and brilliant satellite images • Compares multi-spectral images with similar spectral bands. • Improves the results of change detection and classification algorithms
Recommendation: • Production of good quality DTMs gain importance • Purchase of bundle data gain importance • SPC-SOPAC conducts atmospheric correction for member countries !
Thank You Questions?