A new aerosol retrieval algorithm based on statistical segmentation using Landsat-8 OLI data

In this paper, a new aerosol retrieval algorithm based on a method, named statistical segmentation, was proposed. Firstly, the image of Landsat 8 OLI was divided into many segments by the statistical segmentation method based on band 6 and band 7. Then, according to the characteristics of the segmentation, two ways based on the segmented results were used to get the surface reflectance. And then combined with the apparent reflectance equation and a lookup table built by 6S model, aerosol retrieval could be performed. In principle, this algorithm is based on clean pixels (almost no aerosol) at band 1 to retrieve contaminated pixels in the same segment. The retrieved results show that, compared with DDV (Dense Dark Vegetation) algorithm, this algorithm is more suitable for bright surfaces, such as urban areas.