Arid
DOI10.1016/j.rse.2016.11.015
Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results
Mei, Linlu1; Rozanov, Vladimir1; Vountas, Marco1; Burrows, John P.1; Levy, Robert C.2; Lotz, Wolfhardt1
通讯作者Mei, Linlu
来源期刊REMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
EISSN1879-0704
出版年2017
卷号197页码:125-140
英文摘要

The MEdium Resolution Imaging Spectrometer (MERIS) instrument on board European Space Agency (ESA) Envisat made measurements from 2002 to 2012. Although MERIS was limited in spectral coverage, accurate Aerosol Optical Thickness (AOT) from MERIS data are retrieved by using appropriate additional information. We introduce a new AOT retrieval algorithm for MERIS over land surfaces, referred to as eXtensible Bremen AErosol Retrieval (XBAER). XBAER is similar to the "dark-target" (DT) retrieval algorithm used for Moderate-resolution Imaging Spectroradiometer (MODIS), in that it uses a lookup table (LUT) to match to satellite-observed reflectance and derive the AOT. Instead of a global parameterization of surface spectral reflectance, XBAER uses a set of spectral coefficients to prescribe surface properties. In this manner, XBAER is not limited to dark surfaces (vegetation) and retrieves AOT over bright surface (desert, semiarid, and urban areas). Preliminary validation of the MERIS-derived AOT and the ground-based Aerosol Robotic Network (AERONET) measurements yield good agreement, the resulting regression equation is y = (0.92x +/- 0.07) + (0.05 +/- 0.01) and Pearson correlation coefficient of R = 0.78. Global monthly means of AOT have been compared from XBAER, MODIS and other satellite derived datasets. (C) 2016 Elsevier Inc. All rights reserved.


英文关键词AOT MERIS Retrieval
类型Article
语种英语
国家Germany ; USA
收录类别SCI-E
WOS记录号WOS:000403544900010
WOS关键词SURFACE REFLECTANCE ; RADIATIVE-TRANSFER ; MODIS ; LAND ; DEPTH ; SCIAMACHY ; THICKNESS ; VARIABILITY ; ABSORPTION ; SCATTERING
WOS类目Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/201993
作者单位1.Univ Bremen, Inst Environm Phys, Bremen, Germany;
2.NASA, Goddard Space Flight Ctr, Climate & Radiat Lab, Greenbelt, MD 20771 USA
推荐引用方式
GB/T 7714
Mei, Linlu,Rozanov, Vladimir,Vountas, Marco,et al. Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results[J],2017,197:125-140.
APA Mei, Linlu,Rozanov, Vladimir,Vountas, Marco,Burrows, John P.,Levy, Robert C.,&Lotz, Wolfhardt.(2017).Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results.REMOTE SENSING OF ENVIRONMENT,197,125-140.
MLA Mei, Linlu,et al."Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results".REMOTE SENSING OF ENVIRONMENT 197(2017):125-140.
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