基于数据场模型的南京市气溶胶光学厚度反演  

Inversion of aerosol optical depth in Nanjing City based on data field method

作　　者：缪晨阳 陈健 马本浩 MIAO Chenyang;CHEN Jian;MA Benhao(School of Remote Seneing&Geomatics Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)

机构地区：[1]南京信息工程大学遥感与测绘工程学院,南京210044

出　　处：《自然资源遥感》2024年第4期295-303,共9页Remote Sensing for Natural Resources

基　　金：国家高分遥感卫星数据与产品共享交换服务平台项目“长江大保护高分综合应用”(项目编号:30-Y60B01-9003-22/23)资助。

摘　　要：高亮度地表上空的气溶胶光学厚度(aerosol optical depth,AOD)反演对于城市大气环境监测和污染岛研究等具有重要意义。该文综合考虑像元的光谱特性和空间特性,提出了一种基于数据场模型(data field method,DFM)的AOD反演方法。该方法基于Landsat OLI数据,开展了南京市上空AOD的反演研究,并分析不同空间结构、数据场强度和下垫面特征对DFM方法的影响,最后与传统的深蓝算法和MOD04产品等进行了对比分析。结果表明:DFM反演结果与CE318太阳光度计观测数据的相关系数为0.936,均方根误差、平均绝对误差和相对平均偏差分别为0.151,0.120和1.139,平均相对误差和误差比分别为22.7%和72.7%,与地面实测数据具有较高的一致性。地表数据场强度高于12的区域,DFM算法具有较好的反演效果,且在夏春季反演效果优于秋冬季,在乡村、工业区等下垫面变化剧烈区域具有更好的反演效果。The inversion of aerosol optical depth(AOD)above the bright surface holds great significance for monitoring urban atmospheric environment and investigating urban pollution islands.This study proposed an AOD inversion method using the data field method(DFM)by incorporating both spectral and spatial characteristics of pixels.Using the Land OLI data,this study conducted AOD inversion over Nanjing and analyzed the impacts of different spatial structures,data field intensity,and underlying surface features on the DFM.This method was then compared with the traditional Deep Blue algorithm and MOD04 products through a detailed comparative analysis.The results indicate that the DFM inversion results had a correlation coefficient of 0.936 with observations obtained using aCE318 sun photometer,a root mean square error of 0.151,a mean absolute error of 0.120,an average relative error of 22.7%,a relative mean deviation of 1.139,and an error ratio of 72.7%,demonstrating high consistency with ground-based measurements.In areas with surface data field intensity exceeding 12,the DFM algorithm exhibited superior inversion performance and proved more effective in the spring and summer than in autumn and winter.Particularly,this algorithm achieved enhanced inversion results in rural and industrial areas characterized by rapid changes in their underlying surfaces.

关 键 词：气溶胶光学厚度 数据场 6S模型 结构函数 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]