AMTD Atmospheric Measurement Techniques Discussions AMTD Atmos. Meas. Tech. Discuss. 1867-8610 Göttingen, Germany 10.5194/amtd-5-2645-2012 Evaluation of BAER surface model for aerosol optical thickness retrieval over land surface Chiang Y. S. 1 2 von Hoyningen-Huene W. 1 Chen K. S. 2 Ladstätter-Weißenmayer A. 1 Burrows J. P. 1 University of Bremen, Environmental Physics, Bremen, Germany National Central University, Center for Space and Remote Sensing Research, Taoyuan, Taiwan 03 04 2012 5 2 2645 2679 Copyright: © 2012 Y. S. Chiang et al. 2012 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://amt.copernicus.org/preprints/5/2645/2012/amtd-5-2645-2012.html The full text article is available as a PDF file from https://amt.copernicus.org/preprints/5/2645/2012/amtd-5-2645-2012.pdf

Estimation of surface reflectance is essential for an accurate retrieval of aerosol optical thickness (AOT) by satellite remote sensing approach. Due to the variability of surface reflectance over land surfaces, a surface model is required to take into account the crucial factor controlling this variability. In the present study, we attempted to simulate surface reflectance in the short-wave channels with two methods, namely the land cover type dependent method and a two-source linear model. In the two-source linear model, we assumed that the spectral property can be described by a mixture of vegetated and non-vegetated area, and both the normalized difference vegetation index (NDVI), and the vegetation continuous field (VCF) was applied to summarize this surface characteristic. By comparing our estimation with surface reflectance data derived from Moderate Resolution Imaging Spectroradiometer (MODIS), it indicated that the land cover type approach did not provide a better estimation because of inhomogeneous land cover pattern and the mixing pixel properties. For the two-source linear method, the study suggested that the use of NDVI as parameterization for vegetation fraction can reflect the spectral behavior of shortwave surface reflectance, despite of some deviation due to the averaging characteristics in our linear combination process. A channel-dependent offset and scalar factor could enhance reflectance estimation and further improve AOT retrieval by the current Bremen AErosol Retrieval (BAER) approach.

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