大气与环境光学学报, 2018, 13 (4): 293, 网络出版: 2018-08-04  

太阳辐射计视场角定标方法对比研究

Comparison of Calibration Methods for Field of View of Sun Radiometer
作者单位
1 中国科学院遥感与数字地球研究所,国家环境保护卫星遥感重点实验室,北京 100101
2 合肥工业大学,安徽 合肥 230009
摘要
太阳辐射计是观测大气气溶胶重要的地基遥感设备,其定标是获取高精度气溶胶产品的前提条件。视场角(field of view, FOV) 是太阳辐射计的重要参数,也是传递定标的关键参数。基于SONET观测网2016年定标实验,对传递定标方法(单次传递及历史传递 平均结果)和矩阵扫描法获得的仪器FOV进行对比分析,结果表明:单次传递、历史传递平均和激光矩阵扫描结果与仪器的FOV设计值 平均相对误差在2%~3%之内,而三种方法获得的FOV最大相对误差为1.59%,满足FOV的精度要求。误差分析表明,传递定标法 误差主要来自积分球辐亮度定标系数,而矩阵扫描法的误差主要由激光面光源引起。但三种方法各有优劣,可以相互验证、 相互补充,以获得更加准确的仪器FOV参数。
Abstract
Sun radiometer is an important ground-based remote sensing device to observe atmospheric aerosol, and the calibration is a prerequisite to obtain the high accuracy of aerosol products. Field of view (FOV) is an important parameter of sun radiometer, and it is also a key parameter for the transfer calibration. Based on the calibration experiment of Sun-sky radiometer observation network (SONET) in 2016, the FOV of instruments obtained by transfer method (single transfer and the average result of historical transfer) and matrix scanning method were analyzed, and the result showed that the average relative error of the results obtained by single transfer, the average of historical transfer and the matrix scanning is within 2%~3%, and the max average relative error is 1.59% compared with themselves. The three methods can satisfy the requirements of the precision of FOV. The error analysis shows that the error of transfer calibration method mainly comes from integrating sphere radiance calibration coefficient, and the error of matrix scanning method is mainly caused by the laser beam. However, these three methods all have their own advantages and disadvantages. They can verify and complement each other, in order to obtain more accurate FOV of the instrument.

杨久春, 李正强, 李凯涛, 李保生, 李东辉. 太阳辐射计视场角定标方法对比研究[J]. 大气与环境光学学报, 2018, 13(4): 293. YANG Jiuchun, LI Zhengqiang, LI Kaitao, LI Baosheng, LI Donghui. Comparison of Calibration Methods for Field of View of Sun Radiometer[J]. Journal of Atmospheric and Environmental Optics, 2018, 13(4): 293.

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