HR: 0830h
AN: A21A-06    [Abstracts]
TI: High Resolution Aerosol Retrievals from ETM+ Over Urban Areas
AU: * Lyapustin, A
EM: alyapust@pop900.gsfc.nasa.gov
AF: UMBC GEST/NASA GSFC, Mail Code 920, Greenbelt, MD 20771 United States
AB: Satellite monitoring of the main sources of the man-made pollutants is important to understand the climate forcing of anthropogenic aerosols. Over land, the aerosol retrievals are most accurate over dark dense vegetation (DDV). In the urban/industrial areas the DDV targets are small, often varying from a few tens of meters (clumps of trees) to several hundred meters (small fields and parks), and can only be captured by the high-resolution sensors. In this case, because of the high surface heterogeneity and focus on the dark pixels, the traditional aerosol retrievals based on 1D radiative transfer (RT) theory have a substantial bias. We developed a new dark target method for unbiased simultaneous retrieval of the aerosol model and optical thickness over land from Landsat ETM+ data, based on 3-D RT theory. The method automatically selects an aerosol model from a large set of candidate models using statistical approach of probability distribution function. The aerosols are retrieved in the blue and red bands relying on prediction of the surface reflectance in these bands from the shortwave infrared region (2.1-2.2 mkm). We will describe the developed method and its validation with AERONET measurements for a set of ETM+ images of the Washington-Baltimore area.
DE: 0305 Aerosols and particles (0345, 4801)
DE: 0345 Pollution--urban and regional (0305)
DE: 0933 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2005 Joint Assembly