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Spatial distribution of PM2.5 concentration based on aerosol optical thickness inverted by Landsat ETM+ data over Chengdu

机译:基于Landsat ETM +数据反演的气溶胶光学厚度的PM2.5浓度空间分布

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This paper proposes a new method of spatial distribution of PM2.5 concentration, which is based on Aerosol Optical Thickness (AOT) inverted by Landsat7 ETM+ Enhanced Thematic Mapper Plus (ETM+) data and PM2.5 ground-based instruments. The main steps of the method are as follows:(1) Determination of dark pixels, search for the dark surface targets with the 2.2- μm channel; (2) Determination of the surface reflectance in the blue and red channels;(3) AOT retrieval, inverted from Look-up Tables (LUT) established from a set of atmospheric geometrical conditions;(4)Establish the model of PM2.5 predicting with predictors and estimate the PM2.5 value. The study results show that the method is an effective means for predicting the PM2.5 concentration, and a beneficial supplement to the conventional ground-based measurement.
机译:本文提出了一种新的PM 2.5 浓度的空间分布方法,基于Landsat7 ETM +增强专题Mapper(ETM +)数据和PM 2.5 < /子>基于地面的仪器。该方法的主要步骤如下:(1)暗像素的确定,用2.2-μm通道搜索暗面目标; (2)测定蓝色和红色通道中的表面反射率;(3)AOT检索,从一组大气几何状况建立的查找表(LUT)反转;(4)建立PM 的模型2.5 预测预测器并估计PM 2.5 值。研究结果表明,该方法是预测PM <亚> 2.5 浓度的有效方法,以及对传统基于地基测量的有益补充。

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