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Dust Aerosol Retrieval over the Oceans with the MODIS/VIIRS Dark Target algorithm. Part I: Dust Detection
Earth and Space Science ( IF 3.1 ) Pub Date : 2020-09-28 , DOI: 10.1029/2020ea001221
Yaping Zhou 1, 2 , Robert C. Levy 2 , Lorraine A. Remer 1 , Shana Mattoo 2, 3 , Yingxi Shi 1, 2 , Chenxi Wang 1, 2
Affiliation  

To prepare for implementation of a new aerosol retrieval specifically designed for dust aerosol over ocean in the operational Dark Target (DT) algorithms for the Moderate‐resolution Imaging Spectrometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) satellite sensors, we focus on the challenge of detecting dust. We first survey the literature on existing dust detection algorithms and then develop an innovative algorithm that combines near‐UV (deep blue), visible, and thermal infrared (TIR) wavelength spectral tests. The new detection algorithm is applied to Terra and Aqua MODIS granules and compared with other dust detection possibilities from existing MODIS products. Quantitative evaluation of the new dust detection algorithm is conducted using both a collocated AERONET ‐ MODIS dataset and collocated CALIPSO – MODIS dataset. From comparison with both AERONET and CALIOP measurements, we estimate the new dust detection algorithm detects about 30% of weakly dusty pixels and more than 80% of heavily dusty pixels, with false detections in the range of 1‐2%. The very low false detection rate is particularly noteworthy in comparison with existing literature. Compared with the dust flag currently available as part of the MODIS cloud mask product (MOD35/MYD35), and dust classification based on commonly used thresholds with AOD and AE, the new dust detection algorithm finds more dusty pixels and fewer false detections.

中文翻译:

使用MODIS / VIIRS暗目标算法对海洋上的粉尘气溶胶进行检索。第一部分:粉尘检测

为了准备针对中分辨率成像光谱仪(MODIS)和可见红外成像辐射计套件(VIIRS)卫星传感器的运行暗目标(DT)算法中专门为海洋上的粉尘气溶胶设计的新气溶胶检索的实施,我们着重于检测灰尘的挑战。我们首先调查有关现有灰尘检测算法的文献,然后开发一种创新的算法,该算法结合了近紫外线(深蓝色),可见光和热红外(TIR)波长光谱测试。新的检测算法应用于Terra和Aqua MODIS颗粒,并与现有MODIS产品的其他粉尘检测可能性进行了比较。使用并置的AERONET-MODIS数据集和并置的CALIPSO – MODIS数据集对新的灰尘检测算法进行了定量评估。通过与AERONET和CALIOP测量的比较,我们估计新的灰尘检测算法可检测到约30%的弱尘埃像素和80%的重度尘埃像素,错误检测的范围为1-2%。与现有文献相比,非常低的错误检测率特别值得注意。与当前作为MODIS云遮罩产品(MOD35 / MYD35)的一部分提供的灰尘标记以及基于带有AOD和AE的常用阈值的灰尘分类相比,新的灰尘检测算法发现更多的灰尘像素和更少的错误检测。与现有文献相比,非常低的错误检测率特别值得注意。与当前作为MODIS云遮罩产品(MOD35 / MYD35)的一部分提供的灰尘标记以及基于带有AOD和AE的常用阈值的灰尘分类相比,新的灰尘检测算法发现更多的灰尘像素和更少的错误检测。与现有文献相比,非常低的错误检测率特别值得注意。与当前作为MODIS云遮罩产品(MOD35 / MYD35)的一部分提供的灰尘标记以及基于带有AOD和AE的常用阈值的灰尘分类相比,新的灰尘检测算法发现更多的灰尘像素和更少的错误检测。
更新日期:2020-09-29
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