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一种用于风云三号D星中分辨率光谱成像仪II(FY-3D MERSI-II)图像的高精度气溶胶反演算法。

A high-precision aerosol retrieval algorithm for FY-3D MERSI-II images.

作者信息

Wang Qingxin, Li Siwei, Yang Jie, Zhou Dong, Song Ge

机构信息

Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.

Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, 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.

出版信息

Environ Int. 2023 Mar;173:107841. doi: 10.1016/j.envint.2023.107841. Epub 2023 Feb 21.

Abstract

The Medium Resolution Spectral Imager-II (MERSI-II) onboard the recently launched Chinese Fengyun-3D (FY-3D) satellite has great capability in detecting global aerosols as it includes aerosol bands similar to Moderate Resolution Imaging Spectroradiometer (MODIS). However, to date, aerosol retrieval based on MERSI-II is still limited to dark target regions and there is no official aerosol products for the MERSI-II. This study focuses on developing a high-precision algorithm to retrieve aerosol optical depth (AOD) suitable for entire land areas (except snow/ice and inland waters) based on MERSI-II measurements. Considering both the accuracy and retrieval efficiency, a new cost function is constructed based on (1) the fact that the AOD (550 nm) retrieved independently from different bands should be the same with the correct aerosol model, and (2) the assumption that the aerosol types are the same in the 5 × 5 km spatial range. The retrieval method based on the new cost function is nearly 50 times faster than most current methods using iterative calculations. To extend the application adaption of the FY-3D MERSI-II AOD retrieval and avoid the errors caused by the surface Lambertian hypothesis, a bidirectional reflectance distribution function (BRDF) database is built using MODIS products. Eight candidate aerosol models in different natural zones of China are constructed based on AERONET aerosol products from 2010 - 2021. The new method is applied to MERSI-II images over China and validated against ground-based measurements at 14 stations from 2020 to 2021. MODIS aerosol products from three operational algorithms are also used for comparison purposes. The results show that MERSI-II AOD retrievals agree well with the ground-based measurements with correlation coefficient (R), root mean square error (RMSE), and relative mean bias (RMB) of 0.913, 0.123, and 0.955, respectively. In addition, 72.19 % of AOD matchups fall within the expected error (EE) envelopes. The MERSI-II retrievals show higher accuracy than that of MODIS dark target (DT) and deep blue (DB) products and comparable accuracy of the MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) product. MERSI-II AOD also shows higher stability in terms of spatial and temporal and better performance under heavy aerosol loading conditions than MODIS products. A good AOD agreement with R from 0.777 to 0.863 between MERSI-II and MODIS products is found over the land of China. The new method showing high retrieval efficiency and accuracy has great potential to be operationally applied on AOD retrieval for MERSI-II.

摘要

近期发射的中国风云三号D(FY-3D)卫星搭载的中分辨率光谱成像仪-II(MERSI-II)在探测全球气溶胶方面具有强大能力,因为它包含了与中分辨率成像光谱仪(MODIS)类似的气溶胶波段。然而,迄今为止,基于MERSI-II的气溶胶反演仍局限于暗目标区域,且尚无MERSI-II的官方气溶胶产品。本研究聚焦于开发一种高精度算法,以基于MERSI-II测量数据反演适用于整个陆地地区(除冰雪和内陆水域)的气溶胶光学厚度(AOD)。综合考虑精度和反演效率,基于以下两点构建了一个新的代价函数:(1)从不同波段独立反演得到的AOD(550纳米)在正确的气溶胶模型下应相同;(2)假设在5×5千米的空间范围内气溶胶类型相同。基于新代价函数的反演方法比目前大多数使用迭代计算的方法快近50倍。为了扩展FY-3D MERSI-II AOD反演的应用适应性并避免由地表朗伯假设引起的误差,利用MODIS产品构建了一个双向反射率分布函数(BRDF)数据库。基于2010 - 2021年AERONET气溶胶产品,在中国不同自然区域构建了8种候选气溶胶模型。将新方法应用于中国上空的MERSI-II图像,并与2020年至2021年14个站点的地基测量数据进行验证。还使用了三种业务算法的MODIS气溶胶产品进行比较。结果表明,MERSI-II AOD反演结果与地基测量数据吻合良好,相关系数(R)、均方根误差(RMSE)和相对平均偏差(RMB)分别为0.913、0.123和0.955。此外,72.19%的AOD匹配落在预期误差(EE)范围内。MERSI-II反演结果显示出比MODIS暗目标(DT)和深蓝(DB)产品更高的精度,与MODIS多角度大气校正(MAIAC)产品的精度相当。在空间和时间方面,MERSI-II AOD也比MODIS产品具有更高的稳定性,在高气溶胶负荷条件下表现更好。在中国陆地上,MERSI-II和MODIS产品之间的AOD一致性良好,R在0.777至0.863之间。这种具有高反演效率和精度的新方法在MERSI-II的AOD反演业务应用中具有巨大潜力。

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