ABSTRACT We present results of global aerosol retrieval from the ESA ATSR instrument series on ER... more ABSTRACT We present results of global aerosol retrieval from the ESA ATSR instrument series on ERS-2 and ENVISAT (1995-2010), and initial testing of a new algorithm developed for Sentinel-3, with planned operation 2013-2030. The ATSR instruments on ERS-2 and ENVISAT together provide one of the longest available, well-calibrated datasets of satellite radiance measurements. The dual-angle viewing capability gives two near-simultaneous images at differing slant paths though the atmosphere, allowing global retrieval of aerosol optical thickness without assumptions on surface spectral properties. We present the global ATSR time series and analysis of trends, and give comparison with AERONET and with MODIS and MISR global datasets. The algorithm has been developed for application to Sentinel-3 to make use of synergistic retrieval from two sensors, OLCI and SLSTR. The research explores the gain by using information from both instruments simultaneously to constrain atmospheric profile, characterise cloud, and provide improved atmospheric correction to surface reflectance. The algorithm has been implemented on the ESA BEAM system and tested on MERIS and AATSR data, and compared with existing algorithms. Recent developments within the ESA Aerosol Climate Change Initiative (CCI) towards a common aerosol retrieval framework are reported. References Bevan, S.L., North, P.R.J., Grey, W.M.F., Los, S.O. and Plummer, S.E. (2009). Impact of atmospheric aerosol from biomass burning on Amazon dry-season drought. Journal of Geophysical Research, 114, D09204, doi:10.1029/2008JD011112. Bevan, S.L., et al. (2011). A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR, Remote Sensing of Environment, in press. North, P.R.J. et al. (2010) Sentinel-3 L2 Products and Algorithm Definition: OLCI/SLSTR Level 2 and 3 Synergy Products, S3-L203S2-SU-ATBD.
... 372–394, 2007. [7] Suzanne L. Bevan, Peter RJ North, William MF Grey, Sietse O. Los, and Step... more ... 372–394, 2007. [7] Suzanne L. Bevan, Peter RJ North, William MF Grey, Sietse O. Los, and Stephen E. Plummer, “The impact of atmospheric aerosol from biomass burning on amazon dry-season drought,” J. Geophys. Res., vol. 114, 2009. ... [14] Robert B. Cleveland, William S ...
We present research on for improved global aerosol retrieval by synergistic use of optical sensor... more We present research on for improved global aerosol retrieval by synergistic use of optical sensors on the European Space Agency ENVISAT satellite, MERIS and AATSR. Previously aerosol retrievals have been developed in isolation for these instruments, using spectral and mult-angular approaches respectively. These sensors will be succeeded with improved specification on the Sentinel-3 mission (2012-2030) with the aim to offer
ABSTRACT We present results of global aerosol retrieval from the ESA ATSR instrument series on ER... more ABSTRACT We present results of global aerosol retrieval from the ESA ATSR instrument series on ERS-2 and ENVISAT (1995-2010), and initial testing of a new algorithm developed for Sentinel-3, with planned operation 2013-2030. The ATSR instruments on ERS-2 and ENVISAT together provide one of the longest available, well-calibrated datasets of satellite radiance measurements. The dual-angle viewing capability gives two near-simultaneous images at differing slant paths though the atmosphere, allowing global retrieval of aerosol optical thickness without assumptions on surface spectral properties. We present the global ATSR time series and analysis of trends, and give comparison with AERONET and with MODIS and MISR global datasets. The algorithm has been developed for application to Sentinel-3 to make use of synergistic retrieval from two sensors, OLCI and SLSTR. The research explores the gain by using information from both instruments simultaneously to constrain atmospheric profile, characterise cloud, and provide improved atmospheric correction to surface reflectance. The algorithm has been implemented on the ESA BEAM system and tested on MERIS and AATSR data, and compared with existing algorithms. Recent developments within the ESA Aerosol Climate Change Initiative (CCI) towards a common aerosol retrieval framework are reported. References Bevan, S.L., North, P.R.J., Grey, W.M.F., Los, S.O. and Plummer, S.E. (2009). Impact of atmospheric aerosol from biomass burning on Amazon dry-season drought. Journal of Geophysical Research, 114, D09204, doi:10.1029/2008JD011112. Bevan, S.L., et al. (2011). A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR, Remote Sensing of Environment, in press. North, P.R.J. et al. (2010) Sentinel-3 L2 Products and Algorithm Definition: OLCI/SLSTR Level 2 and 3 Synergy Products, S3-L203S2-SU-ATBD.
... 372–394, 2007. [7] Suzanne L. Bevan, Peter RJ North, William MF Grey, Sietse O. Los, and Step... more ... 372–394, 2007. [7] Suzanne L. Bevan, Peter RJ North, William MF Grey, Sietse O. Los, and Stephen E. Plummer, “The impact of atmospheric aerosol from biomass burning on amazon dry-season drought,” J. Geophys. Res., vol. 114, 2009. ... [14] Robert B. Cleveland, William S ...
We present research on for improved global aerosol retrieval by synergistic use of optical sensor... more We present research on for improved global aerosol retrieval by synergistic use of optical sensors on the European Space Agency ENVISAT satellite, MERIS and AATSR. Previously aerosol retrievals have been developed in isolation for these instruments, using spectral and mult-angular approaches respectively. These sensors will be succeeded with improved specification on the Sentinel-3 mission (2012-2030) with the aim to offer
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