Telaer is an advanced airborne remote sensing system for environmental monitoring and management. It is constituted by two aircrafts equipped with optical and microwave sensors. During the recent environmental crisis caused by the Prestige shipwreck, the operation of the Telaer system provided with an X-band SAR system mounted on a Learjet 35A, has been requested by the Spanish authorities. The Galicia campaign was aimed to perform daily missions on the Prestige sink area in order to monitor the status of the process of oil spilling out of the sunken ship hull. SAR data have been processed in real time on board for a first guess of oil slicks detection; next, on ground, the images have been geo-referenced and processed in near real time (within 4 hours from acquisition) for a more accurate identification, size estimation and localization of oil slicks. This information has been validated against external sources, based on visual recognition during helicopters and planes over-flights of the surveyed zone. During the Galicia campaign 16 missions were carried out with a total of more than 50 flight hours. The results obtained during such a campaign will be shown.
KEYWORDS: Aerosols, Scattering, Atmospheric modeling, Clouds, Atmospheric particles, Data processing, Reflectivity, Rayleigh scattering, Simulation of CCA and DLA aggregates, Atmospheric optics
The GOME instrument, on board the ERS-2 satellite, has been designed in order to collect radiation over the entire wavelength region from 240 to 790 nm, in which several atmospheric species and also aerosols and clouds can be observed. A prototypal processor for the aerosol optical thickness retrieval and aerosol classification starting from GOME data has been developed. This processor has been devised as a tool to be used for the development of an operational GOME data processing chain. The implemented retrieval algorithm is based on a spectral reflectance fitting procedure of the measured radiances by GOME instrument. The maximum likelihood principle has been used in order to define the objective function. The ranking is made choosing the minimum among the least squares residuals computed for different aerosol classes. For each pixel the output of processor gives the aerosol optical thickness, the aerosol classification, a relative retrieval residual and a flag that indicates if the pixel is cloudy. The results of some different GOME real data sets are shown.
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