Quantification and assessment of urban surface reflection ratios and their effect on aerosol retrieval using high spatial resolution LANDSAT retrievals

Ana Picon; Bomidi Madhavan; Barry Gross; Fred Moshary; Sam Ahmed

doi:10.1117/12.865143

7 October 2010 Quantification and assessment of urban surface reflection ratios and their effect on aerosol retrieval using high spatial resolution LANDSAT retrievals

Ana Picon, Bomidi Madhavan, Barry Gross, Fred Moshary, Sam Ahmed

Author Affiliations +

Proceedings Volume 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII; 782402 (2010) https://doi.org/10.1117/12.865143
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

In the standard MODIS Collection 5 aerosol retrieval algorithm, estimates of the surface albedo between the VIS and MIR channels must be made. Unfortunately, the operational model used is not suitable for urban areas and efforts to modify the required VIS-MIR surface spectral ratios for urban areas are needed to remove aerosol retrieval biases. To address these issues, we use results based on the ASRVN product to provide regionally tuned surface reflection ratios Using these values removes retrieval bias and improves resolution to 1.5 km. In addition, we note explore the relationships for multiple urban sites and illustrate a general correspondence between the surface reflection ratiosn and biases in AOD retrieval. Further validations of the surface reflection differences in urban areas are illustrated using high resolution LANDSAT 7 imagery for vegetation / urban boundaries.

Citation Download Citation

Ana Picon, Bomidi Madhavan, Barry Gross, Fred Moshary, and Sam Ahmed "Quantification and assessment of urban surface reflection ratios and their effect on aerosol retrieval using high spatial resolution LANDSAT retrievals", Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 782402 (7 October 2010); https://doi.org/10.1117/12.865143

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