A surface reflectance correction model to improve the retrieval of MISR aerosol optical depth supported by MODIS data

被引：4
|
作者：
Chen, Lijuan [1 ]
Wang, Ren [1 ]
Wei, Geng [1 ]
Han, Jiamei [1 ]
Zha, Yong [1 ]
机构：
[1] Nanjing Normal Univ, Coll Geog Sci, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Key Lab Virtual Geog Environm,Minist Educ, Nanjing 210023, Peoples R China
来源：
ADVANCES IN SPACE RESEARCH | 2021年 / 67卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Aerosol optical depth; MISR; MODIS; Surface reflectance; Spectral conversion; LAND;
D O I：
10.1016/j.asr.2020.10.033
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Combined use of different satellite sensors are known to improve retrievals of aerosol optical depth (AOD). In this study, we propose a new method for retrieving Multi-angle Imaging SpectroRadiometer (MISR) AOD data supported by Moderate Resolution Imaging Spectroradiometer (MODIS) data in Jiangsu Province, China, over the period of 2016-2018 using MODIS L1B, bidirectional reflectance distribution function (BRDF), MISR 1B2T, and ground-measured AOD data. This method is based on the surface reflectance determined by the MODIS V5.2 algorithm. Through the observation angle and spectral conversion between different sensors, the MISR AOD can be obtained. The correlation coefficient (R) and root-mean-square error (RMSE) between the retrieved MISR and ground-measured AOD data varied between different seasons. The accuracy of the MISR AOD retrieval was notably improved after correcting the MISR surface reflectance. Therefore, the method proposed in this study is feasible for the retrieval of MISR AOD supported by MODIS data, and will be applicable to atmospheric environmental monitoring over large areas in the future. (C) 2020 COSPAR. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：858 / 867
页数：10
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