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Toward aerosol optical depth retrievals over land from GOES visible radiances: determining surface reflectance
123
Citations
31
References
2005
Year
Environmental MonitoringEngineeringTerrestrial SensingAtmospheric OpticsEarth ScienceSurface ReflectanceRadiative TransferAtmospheric ScienceAerosol SamplingAtmospheric SensingReflectance ModelingImaging SpectroscopySpectral ImagingRadiation MeasurementOptical Depth RetrievalsRadiometryRemote SensingGoes Visible RadiancesOptical Remote SensingAir PollutionUnmanned Aerial SystemsLand Surface Reflectance
Frequent observations of aerosol over land are desirable for aviation, air pollution and health applications. Thus, a method is proposed here to correct surface effects and retrieve aerosol optical depth using visible reflectance measurements from the Geostationary Operational Environmental Satellite (GOES). The surface contribution is determined from temporal compositing of visible imagery, where darker pixels correspond to less atmospheric attenuation and surface reflectance is deduced from the composite using radiative transfer. The method is applied to GOES‐8 imagery over the eastern US. Retrieved surface reflectance is compared with separate retrievals using a priori ground‐based observations of aerosol optical depth. The results suggest that surface reflectances can be determined to within ±0.04. The composite‐derived surface reflectance is further analysed by retrieving aerosol optical depth and validating retrievals with Aerosol Robotic Network (AERONET) observations. This analysis indicates that the retrieved optical depth is least biased, hence the surface reflectance is most accurate, when the composite time period varies seasonally. Aerosol optical depth retrievals from this validation are within ±0.13 of AERONET observations and have a correlation coefficient of 0.72. While aerosol optical depth retrieval noise at low optical depths may be limiting, the retrieval accuracy is adequate for monitoring large outbreaks of aerosol events.
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