我国雾霾的发生时间成常年化趋势, 且在几十年内都可能存在, 雾霾对地物光谱曲线测量的影响是不可避免的, 而反射率光谱是众多遥感参数反演的基础, 因此定量分析雾霾对典型地物光谱曲线测量的影响是丞需解决的问题。 本文以简易的雾霾模拟实验室为基础, 实际测量了不同雾霾浓度(晴空, 浓度分别为35, 75, 150)下植被、 土壤和水泥地的反射率光谱, 同时与室外太阳光照下同一样本进行了对比测量和分析。 本文首次综合分析不同雾霾浓度对植被、 土壤、 水泥地等典型地物反射率光谱曲线测量的影响, 对定量分析雾霾对遥感监测、 应用的影响具有重要意义。 主要的研究结论有: 草坪、 土壤、 水泥地等主要地物测量的反射率光谱曲线在晴空时反射率值最高, 反射率光谱曲线也最平滑, 随雾霾颗粒物浓度的增加, 各主要地物的反射率都呈降低趋势, 但降幅都不尽相同, 降幅没有明显的规律可循; 雾霾对各主要地物测量的反射率的影响, 在不同波段、 不同含水量状况都不尽相同, 因此利用统计规律消除雾霾影响有较大困难。 雾霾对地物测量的光谱的影响仍需进一步深入研究。

In China, smog pollution is becoming increasingly serious with perennial occurrence. Moreover, it will be likely to exist within a few decades. The effect of smog on the reflectance spectrum measurement is inevitable. The reflectance spectra are the basis of many remote sensing parameters retrieval, so the quantitative analysis of the smog impact on the typical spectral signatures measurement is of great significane. In this paper, different smog conditions( clear sky, PM35, PM75, PM150, PM108) impact on the reflectance spectral curve of the main features(vegetable, cement, soil) is analyzed in a simple simulation laboratory, which is of great importance to remote sensing monitoring and application.The main research conclusions are as follows: the main features(grass, cement, soil) reflectance are the highest under clear sky while the spectral curves are the smoothed; the value of features reflections shows a decreasing trend and the curves experience ups and downs, no longer smooth when the concentration of smog particles increasing; But the decline sees a different trend and there is no obvious law to follow; the smog impact varies according to different bands, moisture conditions and particulate concentration. As a result, it is difficult to eliminate the smog effect with statistical law; the smog impact on the accuracy of many remote sensing parameters and remote sensing applications in many ways. The effects of smog on measured ground object spectrum still need to be further studied.