Details

Autor(en) / Beteiligte

• Mei, Linlu
• Rozanov, Vladimir
• Vountas, Marco
• Burrows, John P.
• Levy, Robert C.
• Lotz, Wolfhardt

Titel

Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results

Ist Teil von

• Remote sensing of environment, 2017-08, Vol.197, p.125-140

Ort / Verlag

Goddard Space Flight Center: Elsevier Inc

Erscheinungsjahr

2017

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The MEdium Resolution Imaging Spectrometer (MERIS) instrument on board European Space Agency (ESA) Envisat made measurements from 2002 to 2012. Although MERIS was limited in spectral coverage, accurate Aerosol Optical Thickness (AOT) from MERIS data are retrieved by using appropriate additional information. We introduce a new AOT retrieval algorithm for MERIS over land surfaces, referred to as eXtensible Bremen AErosol Retrieval (XBAER). XBAER is similar to the “dark-target” (DT) retrieval algorithm used for Moderate-resolution Imaging Spectroradiometer (MODIS), in that it uses a lookup table (LUT) to match to satellite-observed reflectance and derive the AOT. Instead of a global parameterization of surface spectral reflectance, XBAER uses a set of spectral coefficients to prescribe surface properties. In this manner, XBAER is not limited to dark surfaces (vegetation) and retrieves AOT over bright surface (desert, semiarid, and urban areas). Preliminary validation of the MERIS-derived AOT and the ground-based Aerosol Robotic Network (AERONET) measurements yield good agreement, the resulting regression equation is y=(0.92x±0.07)+(0.05±0.01) and Pearson correlation coefficient of R=0.78. Global monthly means of AOT have been compared from XBAER, MODIS and other satellite-derived datasets. •XBAER, a new AOT retrieval algorithm, was developed for the use with MERIS data.•A new surface reflectance parameterization for dark/bright surfaces was developed.•A spatial, time and spectral dependent surface reflectance database was created.•Validation with AERONET and with other aerosol products show good agreement.•It can be an operational algorithm creating accurate long-term AOT for MERIS & OLCI.