Aerosol optical depth (AOD) retrieval for atmospheric correction in Landsat-8 imagery using second simulation of a satellite signal in the solar spectrum-vector (6SV)

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DOI: https://doi.org/10.21924/cst.4.2.2019.122
Keywords:
AOD, 6SV, Landsat-8, MODIS, surface reflectance

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Abdul Basith
Universitas Gadjah Mada
Muhammad Ulin Nuha
Universitas Gadjah Mada
Ratna Prastyani
Universitas Gadjah Mada
Gathot Winarso
Indonesian National Institute of Aeronautics and Space

Abstract

Atmospheric correction has been challenging task in digital image processing. It requires several atmospheric parameters in order to obtain accurate surface reflectance of objects within the image scene. One of the most crucial parameters required for accurate atmospheric correction is aerosol optical depth (AOD). AOD can be obtained by in-situ measurement or estimated from remote sensing observation. In this experiment, atmospheric correction was performed using second simulation of a satellite signal in the solar spectrum-vector (6SV) algorithm on Landsat-8 imagery in which AOD parameter was retrieved from surface reflectance inversion involving daily-global surface reflectance product of moderate resolution imaging spectroradiometer (MODIS). Furthermore, AOD retrieved from surface reflectance inversion was also validated using ground-based sun photometer observation data from aerosol robotic network (AERONET) station in Bandung, Indonesia. Our experiment shows the consistency between AOD from surface reflectance inversion and AOD from ground-based observation. Finally, 6SV was performed on Landsat-8 imagery to obtain the surface reflectance. We further compared surface reflectance of 6SV atmospheric correction and surface reflectance of Landsat-8 Level 2 product. The atmospherically corrected image also shared agreeable result with Landsat 8 Level-2 product.

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How to Cite
Basith, A., Nuha, M. U., Prastyani, R., & Winarso, G. (2019). Aerosol optical depth (AOD) retrieval for atmospheric correction in Landsat-8 imagery using second simulation of a satellite signal in the solar spectrum-vector (6SV). Communications in Science and Technology, 4(2), 68-73. https://doi.org/10.21924/cst.4.2.2019.122
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Vol. 4 No. 2 (2019)
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