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Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China

机译:大气校正算法,黑暗目标和深蓝色气溶胶产品的多聚执行的评价与比较中国

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摘要

A new multiangle implementation of the atmospheric correction (MAIAC)algorithm has been applied in the Moderate Resolution ImagingSpectroradiometer (MODIS) sensor and has recently provided globally high-spatial-resolution aerosol optical depth (AOD) products at 1 km. Moreover,several improvements have been modified in the classical Dark Target (DT) andDeep Blue (DB) aerosol retrieval algorithms in MODIS Collection 6.1 products.Thus, validation and comparison of the MAIAC, DT, and DB algorithms are urgentin China. In this paper, we present a comprehensive assessment and comparisonof AOD products at a 550 nm wavelength based on three aerosol retrievalalgorithms in the MODIS sensor using ground-truth measurements from AErosolRObotic NETwork (AERONET) sites over China from 2000 to 2017. In general,MAIAC products achieved better accuracy than DT and DB products in theoverall validation and accuracy improvement of DB products after the QAfilter, demonstrating the highest values among the three products. Inaddition, the DT algorithms had higher aerosol retrievals in cropland,forest, and ocean land types than the other two products, and the MAIACalgorithms were more accurate in grassland, built-up, unoccupied, andmixed land types among the three products. In the geometry dependencyanalysis, the solar zenith angle, scattering angle, and relative azimuthangle, excluding the view zenith angle, significantly affected theperformance of the three aerosol retrieval algorithms. The three productsshowed different accuracies with varying regions and seasons. Similar spatialpatterns were found for the three products, but the MAIAC retrievals weresmaller in the North China Plain and higher in Yunnan Province compared withthe DT and DB retrievals before the QA filter. After the QA filter, the DBretrievals were significantly lower than the MAIAC retrievals in south China.Moreover, the spatiotemporal completeness of the MAIAC product was alsobetter than the DT and DB products.
机译:在适量分辨率的图像PectrorAdimometer(MODIS)传感器(MODIS)传感器中应用了大气校正(MAIAIAC)算法的新多态实现,最近在1公里处提供全球高空间分辨率的气溶胶光学深度(AOD)产品。此外,在Modis Collection 6.1产品中,在经典的黑暗目标(DT)和Dep蓝(DB)气溶胶检索算法中已经改进了几种改进.Thus,摩尼亚,DT和DB算法的验证和比较是乌丽林中国。在本文中,我们通过2000年至2017年,基于Modis传感器中的三个气溶胶检索到550nm波长的AOD产品的综合评估和比较,其基于Modis传感器的三个气溶胶检索到2017年。总,毛利斯产品比DT和DB产品在QaFilter之后验证和DB产品准确改善的DT和DB产品取得了更好的准确性,展示了三种产品中的最高值。 Inaddition,DT算法在农田,森林和海洋土地类型中具有比其他两种产品更高的气溶胶检索,毛利科戈尔斯在草地,内置,无人居住,和混合的土地类型中更准确。在几何依赖阶层分析,太阳能天顶角,散射角度和相对azimuthangle,不包括视图天顶角,显着影响三个气溶胶检索算法的可倾向。三种产品具有不同地区和季节的不同精度。为这三家产品发现了类似的锭剂,但玉氏检索在云南省华北平原和更高的玉氏山脉和DB检索,与QA过滤器之前的DT和DB检索相比。在QA过滤器之后,DBroetrievals显着低于南方的麦阿累累检索。莫里亚斯产品的时空完整性比DT和DB产品均为玻璃醛植物。

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