A Method for Aerosol Retrieval from the Spectral Variation in the Visible and Near Infrared. Application to the MERIS Sensor
نویسنده
چکیده
The signal recorded by the sensor contains information relative both to the atmosphere and the surface. Atmospheric correction is necessary to extract the surface reflectance required within biophysical algorithms used to estimate canopy characteristics. Aerosol characteristics are the most difficult to evaluate because they vary rapidly with time and space. The objective is to develop an autonomous aerosol correction method exploiting the information content in MERIS top of atmosphere signal. We propose to use 13 MERIS bands to estimate the aerosol optical thickness, training a dedicated neural network over a database made of radiative transfer model simulations (SMAC, SAIL, PROSPECT).
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تاریخ انتشار 2005