Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
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ISSN | 0034-4257 |
EISSN | 1879-0704 |
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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