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Aerosol Retrieval over Urban Area by Syngertic Use of Feng Yun-3C MERSI and Terra MODIS Data

机译:冯云3C梅西和Terra Modis数据的发电机使用Serosol Retroval在城市地区

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The retrieval of aerosol over urban area is a difficult task because urban area consists of complex ground surface features which usually have bright surface reflectance. Many aerosol optical thickness (AOT) retrieval algorithms are based on traditional dark dense vegetation (DDV) algorithm which has excellent performance at retrieving aerosol's distribution and properties, but these algorithms are restricted to low surface reflectance, such as clean water bodies, dense vegetation and other natural terrain. In this paper, we present an aerosol retrieval algorithm over urban area that applies the synergetic use of FengYun-3C Medium Resolution Spectral Image (MERSI) data and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) data. By applying this algorithm to Beijing city, we obtain the AOT spatial distribution covering the whole Beijing city with a 1km*1km resolution at three visible spectral bands (central wavelength 0.47, 0.55, 0.65 um). For validating the performance of the algorithm, the ground-based measurement data from Aerosol Robotic Network (AERONET) is used, the results show that the algorithm has a good performance on aerosol retrieval on urban area and a significant for environmental protection and urban air quality monitoring.
机译:气溶胶在市区的检索是一项艰巨的任务,因为市区面积由复杂的地表特征通常具有光亮表面反射率。许多气溶胶光学厚度(AOT)检索算法是基于其在检索气雾剂的分布和性能优异的性能的传统暗茂密的植被(DDV)的算法,但这些算法被限制为低的表面反射率,如干净的水体,茂密的植被和其他自然地形。在本文中,我们提出适用的协同使用风云-3C中分辨率光谱图像(MERSI)数据和Terra中等分辨率成像光谱仪(MODIS)数据的气溶胶检索算法在市区。通过应用该算法北京城,我们得到的AOT空间分布覆盖了整个北京城市一公里*在三个可见光谱波段公里分辨率(中心波长0.47,0.55,0.65微米)。为了验证算法的性能,从气溶胶机器人网络(AERONET)的地面测量数据被使用,结果表明,该算法对城市区域气溶胶检索一个良好的性能和对环境保护和城市空气质量显著监控。

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