The Study of Atmospheric Correction by Sen2Cor

  • ภูกฤษ ศรีวิลาศ Department of Civil Engineering, Faculty of Engineering, Kasetsart University
  • Soravis Supavetch Department of Civil Engineering, Faculty of Engineering, Kasetsart University
  • Anuphao Aobpaet Department of Civil Engineering, Faculty of Engineering, Kasetsart University
Keywords: Sen2Cor, Top of Atmosphere (TOA), Aerosol Optical Thickness (AOT), Digital Elevation Model (DEM), Dobson

Abstract

This research studies about the atmosphere correction data of Top of Atmosphere (TOA) to Bottom of Atmosphere (BOA) obtained from Sentinel-2 satellite by Sen2Cor. The study finds that Sen2Cor can adjust the basic default correction (Configuration: L2A_GIPP.xml) to be consistent with the area by two conditions; calculated together with the digital elevation model (DEM) and the amount of ozone in the atmosphere. In addition, this study also shows the results of the data after corrected basis value using a statistical comparison method. From the test to correct the conditions of the terrain elevation in different areas, including the high area in the north, the lowland area in the central region, the plain area in the northeast, and the southern area, the digital elevation models (DEMs) in each area which related to the difference of the aerosol optical thickness (AOT) between the terrain elevation data with condition and terrain elevation data without condition have coefficient of determination in the test region between - 0.82 and - 0.95. As the amount of ozone in the atmosphere of Thailand which located near the equator is between 235 - 275 DU, therefore, it must be calculated to be appropriate for the area of the country. A model is created to calculate the ozone value of Thailand area equal to y = 2E-05x3 - 0.0105x2 + 1.3818x + 320.22 where x represents the Day of Years and y represents the amount of ozone in the atmosphere of the Thailand in units of Dobson.

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Published
2022-09-19
How to Cite
[1]
ศรีวิลาศภ., S. Supavetch, and A. Aobpaet, “The Study of Atmospheric Correction by Sen2Cor”, ncce27, vol. 27, pp. SGI12-1, Sep. 2022.
Section
Survey and Geographic Information System Engineering