Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm
Aerosol Information Retrieval from GF-5B DPC Data over North China Using the Dark Dense Vegetation Algorithm
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DOI：
10.3390/atmos14020241
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发表时间：
2023-01
期刊：
影响因子：
2.9
通讯作者：
Ruijie Zhang;Wei Zhou;Hui Chen;Lianhua Zhang;Lijuan Zhang;P. Ma;Shaohua Zhao;Zhongting Wang-Zhongting-Wa
中科院分区：
文献类型：
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作者：
Ruijie Zhang;Wei Zhou;Hui Chen;Lianhua Zhang;Lijuan Zhang;P. Ma;Shaohua Zhao;Zhongting Wang-Zhongting-Wa
定向偏振相机（DPC）是中国高分5 B（以下简称GF-5 B）卫星上的一个关键有效载荷，这是一种用于监测气溶胶的高光谱观测仪器。在暗密植被（DDV）算法的基础上，将DDV算法应用于DPC测量。首先，分析了植被在0.443、0.49和0.675 μm三个通道上的反射率，识别出反演通道。随后，归一化差异植被指数的下降与不同的视角进行了模拟，并确定了最佳的视角提取暗像素。最后，模拟了不同视角下的大气顶反射率，确定了气溶胶反演的最佳视角。利用2021年11月至2022年1月在华北地区收集的DPC数据进行了反演实验。结果表明，DDV算法可以监测2021年12月30日至2022年1月4日的污染状况，反演结果与中分辨率成像光谱仪（MODIS）气溶胶产品和AERONET站数据相关性较强（R > 0. 85）。
A directional polarimetric camera (DPC) is a key payload on board China’s Gaofen 5B (hereafter denoted as GF-5B) satellite, a hyperspectral observation instrument for monitoring aerosols. On the basis of the dark dense vegetation (DDV) algorithm, this study applied DDV algorithm to DPC measurements. First, the reflectance of vegetation in three channels (0.443, 0.49, and 0.675 μm) was analyzed, and inversion channels were identified. Subsequently, the decrease in normalized difference vegetation index associated with various view angles was simulated, and the optimal view angle for extracting dark pixels was determined. Finally, the top-of-atmosphere reflectance at different view angles was simulated to determine the optimal view angle for aerosol inversion. The inversion experiments were conducted by using DPC data collected over North China from November 2021 to January 2022. The results revealed that DDV algorithm could monitor pollution from 30 December 2021 to 4 January 2022, and the inversion results were strongly correlated with Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol product and AERONET station data (R > 0.85).