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Aerosol optical depth retrieval over the city of Abu Dhabi, United Arab Emirates (UAE) using Landsat-8 OLI images

机译:Aerosol光学深度在阿布扎比,阿拉伯联合酋长国(阿联酋)使用Landsat-8 Oli图像

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Atmospheric aerosol optical depth (AOD) products based on orbiting satellites such the Moderate Resolution Imaging Spectroradiometer (MODIS), the Visible Infrared Imaging Radiometer Suite (VIIRS) and National Oceanic and Atmospheric Administration (NOAA)'s Geostationary Operational Environmental Satellite (GOES) Aerosol Smoke Products (GASP) can provide global and regional daily AOD distributions. Their application to air quality monitoring at local scales such as urban environments is rather limited due to their coarse spatial resolution. Recently, there has been a growing interest in retrieving AOD products based on high resolution optical imagery. The primary objectives of this research study are to assess AOD retrieval over urban city areas using high spatial resolution satellite imagery. With the assumption of Lambertian surface, the principle of AOD retrieval developed is based on the radiative transfer theory using Tanré Equation. To solve the radiative transfer equation, the study adopted the radiative transfer model Second Simulation of the Satellite Signal in the Solar Spectrum (6S) and constructed a Look-Up-Table (LUT) assuming a continental aerosol model. The land surface reflectance (LSR) over the entire study period using Landsat 8 OLI for the period 2016–2017 showed very little variability. The retrieval of AOD is performed by comparing measured and simulated TOA reflectance. The validation is performed using an AERONET Masdar Institute ground based site located within the study area and the 10?km resolution MODIS Collection (C6) Deep Blue AOD (MOD04) products. The validation shows that AOD retrieval approach yields a root mean square error (RMSE) of 0.04, a good correlation with an R2 equivalent to 67% and that the 58% of the retrieved values fall within the expected error (EE). Also, results show that Landsat-OLI retrieval are better and less biased as compared to MOD04 AOD products and that the used approach can provide much more details compared to the 10?km Deep Blue MODIS AOD products.
机译:大气气溶胶光学深度(AOD)基于轨道卫星的产品,如适度分辨率的成像光谱放射体计(MODIS),可见红外成像辐射计套件(VIIRS)和国家海洋和大气管理局(NOAA)的地球溶液运营环境卫星(GOY)气溶胶烟雾产品(喘气)可以提供全球和区域日常AOD分布。由于其粗略空间分辨率,它们在城市环境中的当地秤上的空气质量监测的应用相当有限。最近,对基于高分辨率光学图像检索AOD产品的兴趣日益增长。本研究的主要目标是使用高空间分辨率卫星图像评估对城市地区的AOD检索。凭借朗伯表面的假设,AOD检索的原理基于使用Tanré等式的辐射转移理论。为了解决辐射传递方程,该研究采用了太阳光谱(6S)中卫星信号的辐射转移模型第二模拟,并构建了假设大陆气溶胶模型的查找台(LUT)。 2016 - 2017年期间使用Landsat 8 Oli的整个研究期间的土地表面反射(LSR)显示出很小的变化。通过比较测量和模拟TOA反射率来执行AOD的检索。验证使用位于研究区内的AeroNet Masdar Oftinitute地段和10 km分辨率Modis集合(C6)深蓝色AOD(MOD04)产品。验证表明,AOD检索方法产生0.04的根均方误差(RMSE),与67%相当于R2的良好相关性,并且58%的检索值下降到预期的误差(EE)内。此外,结果表明,与Mod04 Aod产品相比,Landsat-Oli检索更好,更少偏置,并且使用的方法可以提供更多细节,而与10 km深蓝色Modis Aod产品相比。

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