An Improved Aerosol Optical Depth Retrieval Algorithm for Moderate to High Spatial Resolution Optical Remotely Sensed Imagery
An Improved Aerosol Optical Depth Retrieval Algorithm for Moderate to High Spatial Resolution Optical Remotely Sensed Imagery
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DOI：
10.3390/rs9060555
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发表时间：
2017-06
期刊：
影响因子：
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通讯作者：
B. Zhong;Shanlong Wu;A. Yang;Qinhuo Liu
中科院分区：
文献类型：
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作者：
B. Zhong;Shanlong Wu;A. Yang;Qinhuo Liu
为了准确地提取定量的土地信息，监测城市尺度的空气污染，从中等到高空间分辨率（MHSR）的分辨率不超过30米，光学遥感图像和气溶胶参数，特别是气溶胶光学厚度（AOD），是必要的步骤。在本文中，我们介绍了一种新的算法，可以有效地估计大气气溶胶的空间分布和检索地面反射率从一般的大气和陆面条件下的中到高空间分辨率的图像。该算法在以下三个方面进行了改进：（i）它已被开发用于大多数中到高空间分辨率遥感图像;（ii）它可以应用于包括亮面在内的所有陆面类型;（iii）它是完全自动的。因此，该算法适用于操作应用。利用北京站和香河站的AERONET地面观测数据对Landsat TM、ETM+和HJ-1/CCD数据反演的北京地区气溶胶光学厚度进行了验证。
To extract quantitative land information accurately and monitor the air pollution at city scale from moderate to high spatial resolution (MHSR) with a resolution no coarser than 30 m, optical remotely sensed imagery and aerosol parameters, especially aerosol optical depth (AOD), are a necessary step. In this paper, we introduce a new algorithm that can effectively estimate the spatial distribution of atmospheric aerosols and retrieve surface reflectance from moderate to high spatial resolution imagery under general atmosphere and land surface conditions. This algorithm has been improved in the following three aspects: (i) it has been developed for most of the moderate to high spatial resolution remotely sensed imagery; (ii) it can be applied to all kinds of land surface types including bright surface; and (iii) it is completely automatic. This algorithm is therefore suitable for operational applications. The derived AOD in Beijing from Landsat Thematic Mapper (TM), Landsat Enhanced Thematic Mapper Plus (ETM+), and Huan Jing 1 (HJ-1/CCD) data is validated with AErosol Robotic NETwork (AERONET) ground measurements at Beijng and Xianghe stations.