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The application of atmospheric correction algorithms for monitoringatmospheric pollution using Landsat TM images

机译:大气校正算法应用覆盖TM图像监测污染

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This paper focused on the application of effective atmospheric correction algorithm for assessing the atmospheric pollution based on the determined aerosol optical thickness. Field spectro-radiometers such as GER 1500 and HR-1024 have been used to retrieve the ground reflectance values of certain proposed calibration targets. Sun-photometers (MICROTOPS II) have been used to measure the aerosol optical thickness. Retrieved aerosol optical thickness from satellite images have been directly compared with the values found from the sun-photometer measurements as well those found from the visibility data obtained during the satellite overpass. The determined aerosol optical thickness obtained from the atmospheric path radiance component and those found from ground measurements (sun-photometer and meteorological data) acquired during the satellite overpass show very high correlations after regression analysis application.
机译:本文重点研究了有效大气校正算法在基于确定的气溶胶光学厚度评估大气污染的应用。诸如GER 1500和HR-1024之类的现场光谱磁区已经用于检索某些提出的校准目标的地反射率值。太阳光度(MicroTops II)已被用于测量气溶胶光学厚度。与来自太阳光度计测量的值的值相比,从卫星立交桥期间获得的可见性数据中发现的值,直接检索来自卫星图像的气溶胶光学厚度。从大气路径辐射成分获得的固定的气溶胶光学厚度和从卫星立交桥中获取的地面测量(太阳光度计和气象数据)中发现的气溶胶光学厚度显示出回归分析应用后的非常高的相关性。

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