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Open AccessArticle

Retrieval and Validation of AOD from Himawari-8 Data over Bohai Rim Region, China

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
The College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(20), 3425;
Received: 15 September 2020 / Revised: 10 October 2020 / Accepted: 15 October 2020 / Published: 19 October 2020
(This article belongs to the Special Issue Active and Passive Remote Sensing of Aerosols and Clouds)
The geostationary satellite Himawari-8, possessing the Advanced Himawari Imager (AHI), which features 16 spectral bands from the visible to infrared range, is suitable for aerosol observations. In this study, a new algorithm is introduced to retrieve aerosol optical depth (AOD) over land at a resolution of 2 km from the AHI level 1 data. Considering the anisotropic effects of complex surface structures over land, Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) model parameters product (MCD19A3) is used to calculate the surface reflectance for Himawari-8’s view angle and band. In addition, daily BRDF model parameters are calculated in areas with dense vegetation, considering the rapid variation of surface reflectance caused by vegetation growth. Moreover, aerosol models are constructed based on long duration Aerosol Robotic Network (AERONET) single scattering albedo (SSA) values to stand for aerosol types in the retrieval algorithm. The new algorithm is applied to AHI images over Bohai Rim region from 2018 and is evaluated using the newest AERONET version 3 AOD measurements and the latest MODIS collection 6.1 AOD products. The AOD retrievals from the new algorithm show good agreement with the AERONET AOD measurements, with a correlation coefficient of 0.93 and root mean square error (RMSE) of 0.12. In addition, the new algorithm increases AOD retrievals and retrieval accuracy compared to the Japan Aerospace Exploration Agency (JAXA) aerosol products. The algorithm shows stable performance during different seasons and times, which makes it possible for use in climate or diurnal aerosol variation studies. View Full-Text
Keywords: AOD; AHI; single scattering albedo; BRDF; AERONET AOD; AHI; single scattering albedo; BRDF; AERONET
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MDPI and ACS Style

Wang, Q.; Li, S.; Zeng, Q.; Sun, L.; Yang, J.; Lin, H. Retrieval and Validation of AOD from Himawari-8 Data over Bohai Rim Region, China. Remote Sens. 2020, 12, 3425.

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