Improving Aerosol Optical Depth Retrieval over Dark Land Targets from Multispectral Satellite Observations
Abstract
The retrieval of aerosol optical depth (AOD) over dark vegetated surfaces from reflectances measured at multiple wavelengths by spaceborne imaging instruments frequently accomplished by estimating the surface contribution using prescribed relationships between surface reflectances at selected wavelengths. Analyses show that the red-to-blue relationship is less uncertain than the near-infrared-to-blue relationship. However, this advantage may be lost for large AOD when the uncertainty in the red surface reflectance itself becomes dominant. In this case the near-infrared-to-blue relationship may work better since the influence of aerosol on the near-infrared reflectance remains moderate. In this paper we explore the relative merits of the two relationships, and demonstrate, using VIIRS observations, that an algorithm that applies both can reduce the systematic underestimation previously observed at high AOD.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.A11A..07L
- Keywords:
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- 0305 Aerosols and particles;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0319 Cloud optics;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0321 Cloud/radiation interaction;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0360 Radiation: transmission and scattering;
- ATMOSPHERIC COMPOSITION AND STRUCTURE