Preliminary results of a new algorithm for the atmospheric correction of OLI imagery acquired over coastal and inland water are presented. The algorithm was based on the Second Simulation of the Satellite Signal in the Solar Spectrum (6SV) radiative transfer model and the atmopheric contribution was simulated by using the microphysical properties of the aerosol, their size distribution and refractive index, available from the AERONET stations located in the study area. The SeaDAS software was also applied to the OLI data to compare the results obtained by OLI@CRI algorithm with the standard procedure for atmospheric correction of remotely data. Furthermore, the adjacency effect was removed by the wellknown empirical formula as well as a new empirical formula to assess any possible improvement of the atmospheric correction products using the diffuse fraction of the total atmospheric transmission as weight for averaged reflectance removal. To validate the results and assess its accuracy, the above-water data acquired at AERONETOC sites were used. A coastal area and a lake are considered, where AERONET and AERONET-OC data are available. These sites cover a significant range of both atmospheric (from boreal to tropics) and water quality conditions.
Bassani, C., Cazzaniga, I., Manzo, C., Bresciani, M., Braga, F., Giardino, C., et al. (2016). Atmospheric and adjacency correction of Landsat-8 imagery over inland and coastal waters near Aeronet-OC sites. In Proceedings Living Planet Symposium 2016. European Space Agency.
Atmospheric and adjacency correction of Landsat-8 imagery over inland and coastal waters near Aeronet-OC sites
CAZZANIGA, ILARIA;
2016
Abstract
Preliminary results of a new algorithm for the atmospheric correction of OLI imagery acquired over coastal and inland water are presented. The algorithm was based on the Second Simulation of the Satellite Signal in the Solar Spectrum (6SV) radiative transfer model and the atmopheric contribution was simulated by using the microphysical properties of the aerosol, their size distribution and refractive index, available from the AERONET stations located in the study area. The SeaDAS software was also applied to the OLI data to compare the results obtained by OLI@CRI algorithm with the standard procedure for atmospheric correction of remotely data. Furthermore, the adjacency effect was removed by the wellknown empirical formula as well as a new empirical formula to assess any possible improvement of the atmospheric correction products using the diffuse fraction of the total atmospheric transmission as weight for averaged reflectance removal. To validate the results and assess its accuracy, the above-water data acquired at AERONETOC sites were used. A coastal area and a lake are considered, where AERONET and AERONET-OC data are available. These sites cover a significant range of both atmospheric (from boreal to tropics) and water quality conditions.
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