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Estimation of PM10 Concentration using Ground Measurements and Landsat 8OLI Satellite Image

机译:利用地面测量和Landsat 8OLI卫星图像估算PM10浓度

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The aim of this work is to produce an empirical model for the determination of particulate matter (PM10) concentration in the atmosphere using visible bands of Landsat 8 OLI satellite image over Kirkuk city- Iraq.The suggested algorithm is established on the aerosol optical reflectance model. The reflectance model is a function of the optical properties of the atmosphere, which can be related to its concentrations.The concentration of PM10 measurements was collected using Particle Mass Profiler and Counter in a Single Handheld Unit (Aerocet 531) meter simultaneously by the Landsat 8 OLI satellite image date. The PM10 measurement locations were defined by a handheld global positioning system (GPS).The obtained reflectance values for visible bands (Coastal aerosol, Blue, Green and blue bands) of landsat 8 OLI image were correlated with in-suite measured PM10.The feasibility of the proposed algorithms was investigated based on the correlation coefficient (R) and root-mean-square error (RMSE) compared with the PM10 ground measurement data. A choice of our proposed multispectral model was founded on the highest value correlation coefficient (R) and lowest value of the root mean square error (RMSE) with PM10 ground data. The outcomes of this research showed that visible bands of Landsat 8 OLI were capable of calculating PM10 concentration to an acceptable level of accuracy.
机译:这项工作的目的是建立一个经验模型,利用伊拉克基尔库克市的Landsat 8 OLI卫星图像的可见带确定大气中的颗粒物(PM10)浓度。在气溶胶光学反射率模型上建立了建议的算法。反射率模型是大气光学特性的函数,可能与大气浓度有关.Landsat 8同时在单手持式装置(Aerocet 531)中使用粒子质量廓线仪和计数器收集PM10测量的浓度。 OLI卫星影像日期。通过手持式全球定位系统(GPS)定义PM10的测量位置,并将获得的Landat 8 OLI图像可见带(沿海气溶胶,蓝色,绿色和蓝色带)的反射率值与室内测量的PM10相关联。基于相关系数(R)和均方根误差(RMSE)与PM10地面测量数据进行了比较,对提出的算法进行了研究。我们建议的多光​​谱模型的选择基于具有PM10地面数据的最高相关系数(R)和均方根误差(RMSE)的最小值。这项研究的结果表明,Landsat 8 OLI的可见带能够将PM10浓度计算到可接受的准确度水平。

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