Validation of an empirical method for thin cirrus correction with Sentinel-2 data

S. Salgado; L. Poutier; X. Briottet; S. Mathieu

doi:10.1117/12.2533074

10 October 2019 Validation of an empirical method for thin cirrus correction with Sentinel-2 data

S. Salgado, L. Poutier, X. Briottet, S. Mathieu

Proceedings Volume 11152, Remote Sensing of Clouds and the Atmosphere XXIV; 111520H (2019) https://doi.org/10.1117/12.2533074
Event: SPIE Remote Sensing, 2019, Strasbourg, France

Abstract

Semi-transparent clouds, the so-called cirrus, frequently contaminate satellite images. Recently, Gao and Li (2017) have developed an empirical method for thin cirrus correction with focus on data provided by Landsat-8. This correction allows one to estimate clear-sky apparent reflectance. Validated qualitatively, we propose here a quantitative validation method using Sentinel-2 data by comparing the corrected image with a clear sky reference image. Their method shows good results on dark surfaces, like water, with an apparent reflectance found close to 0.02. On the other hand, it becomes less accurate for thicker cirrus and on more reflective surfaces. In addition, the data analysis shows that pixels located in the shadow of the cirrus are over-corrected. The downward path should therefore be taken into account when correcting the signal.

Citation Download Citation

S. Salgado, L. Poutier, X. Briottet, and S. Mathieu "Validation of an empirical method for thin cirrus correction with Sentinel-2 data", Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 111520H (10 October 2019); https://doi.org/10.1117/12.2533074

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