Validation of atmospheric correction algorithm ATCOR

Bringfried Pflug; Magdalena Main-Knorn

doi:10.1117/12.2067435

17 October 2014 Validation of atmospheric correction algorithm ATCOR

Bringfried Pflug, Magdalena Main-Knorn

Author Affiliations +

Proceedings Volume 9242, Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII; 92420W (2014) https://doi.org/10.1117/12.2067435
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

Atmospheric correction of satellite images is necessary for many applications of remote sensing, i.e. computation of vegetation indices and biomass estimation. The largest uncertainty in atmospheric correction arises out of spatial and temporal variation of aerosol amount and type. Therefore validation of aerosol estimation is one important step in validation of atmospheric correction algorithms. Our ground-based measurements of aerosol-optical thickness spectra (AOT) were performed synchronously to overpasses of satellites Rapid-Eye and Landsat. Validation of aerosol retrieval by the widely used atmospheric correction tool ATCOR^1,2 was then realized by comparison of AOT derived from satellite data with the ground-truths. Mean uncertainty is ΔAOT550 ≈ 0.04, corresponding approximately to uncertainty in surface albedo of Δρ ≈ 0.004. Generally, ATCOR-derived AOT values are mostly overestimated when compared to the ground-truth measurements. Very little differences are found between Rapid-Eye and Landsat sensors. Differences between using rural and maritime aerosols are negligible within the visible spectral range.

Citation Download Citation

Bringfried Pflug and Magdalena Main-Knorn "Validation of atmospheric correction algorithm ATCOR", Proc. SPIE 9242, Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII, 92420W (17 October 2014); https://doi.org/10.1117/12.2067435

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