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首页> 外文期刊>Transactions in GIS: TG >Description of a New Method for Retrieving the Aerosol Optical Thickness from Satellite Remotely Sensed Imagery Using the Maximum Contrast Value and Darkest Pixel Approach
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Description of a New Method for Retrieving the Aerosol Optical Thickness from Satellite Remotely Sensed Imagery Using the Maximum Contrast Value and Darkest Pixel Approach

机译：使用最大对比度值和最暗像素方法从卫星遥感影像中检索气溶胶光学厚度的新方法的说明

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摘要

Satellite sensors have provided new datasets for monitoring regional and urban air quality. Satellite sensors provide comprehensive geospatial information on air quality with both qualitative remotely sensed imagery and quantitative data, such as aerosol optical depth which is the basic unknown parameter for any atmospheric correction method in the pre-processing of satellite imagery. This article presents a new method for retrieving aerosol optical thickness directly from satellite remotely sensed imagery for short wavelength bands in which atmospheric scattering is the dominant contribution to the at-satellite recorded signal. The method is based on the determination of the aerosol optical thickness through the application of the contrast tool (maximum contrast value), the radiative transfer calculations and the 'tracking' of the suitable darkest pixel in the scene. The proposed method that needs no a-priori information has been applied to LANDSAT-5 TM, LANDSAT-7 ETM+, SPOT-5 and IKONOS data of two different geographical areas: West London and Cyprus. The retrieved aerosol optical thickness values show high correlations with in-situ visibility data acquired during the satellite overpass. Indeed, for the West London area a logarithmic regression was fitted for relating the determined aerosol optical thickness with the in-situ visibility values. A high correlation coefficient (r2= 0.82; p= 0.2) was found. Plots obtained from Tanre et al. (1979, 1990) and Forster (1984) were reproduced and estimates for these areas were generated with the proposed method so as to compare the results. The author's results show good agreement with Forster's aerosol optical thickness vs. visibility results and a small deviation from Tanre's model estimates.
机译：卫星传感器提供了监测区域和城市空气质量的新数据集。卫星传感器通过定性的遥感图像和定量数据提供有关空气质量的全面地理空间信息，例如气溶胶光学深度，这是卫星图像预处理中任何大气校正方法的基本未知参数。本文提出了一种新的直接从卫星遥感影像中检索短波带气溶胶光学厚度的新方法，其中大气散射是对卫星记录信号的主要贡献。该方法基于通过使用对比工具（最大对比值），辐射传递计算和场景中合适的最暗像素的“跟踪”来确定气溶胶光学厚度。无需先验信息的拟议方法已应用于两个不同地理区域（西伦敦和塞浦路斯）的LANDSAT-5 TM，LANDSAT-7 ETM +，SPOT-5和IKONOS数据。检索到的气溶胶光学厚度值与卫星立交期间获取的现场可见度数据显示出高度相关性。实际上，对于西伦敦地区，对数回归适用于将确定的气溶胶光学厚度与原位可见性值相关联。发现较高的相关系数（r2 = 0.82; p = 0.2）。从Tanre等人获得的图。 （1979，1990）和Forster（1984）进行了复制，并用所提出的方法对这些区域进行了估算，以便比较结果。作者的结果表明与Forster的气溶胶光学厚度与可见性结果具有很好的一致性，并且与Tanre的模型估计值存在很小的偏差。

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