Abstract: Due to the distortions and noises caused by the presence of the atmosphere on the Sun-target-Sensor path, the space-based and airborne remote sensing information in the solar spectral range do not directly characterize the surface objects. It becomes serious impediments for the quantitative analysis and measurement of resources and environment. Ergo, the atmospheric effects are necessary to be removed, especially in land surface remote sensing and applications. An operational method of correcting visible and near-infrared data for atmospheric effects is presented. The method, which is based on 6S (Second Simulation of Satellite Signal in the Solar Spectrum) and isochronous meteorological information on sensing time, is used to atmospheric correction of ETM+ visible and near-infrared bands. Sensitivity analysis is conducted by comparisons of corrected and uncorrected reflectance data including spectral brightness and normalized difference vegetation index (NDVI). The research shows that 6S atmospheric simulation model reduces the uncertainties in the process of electromagnetic wave transmission and eliminates effectively the perturbation from geometric and system corrected remote sensing imagery.

Key words: 6S model, atmospheric correction, quantitative remote sensing, visible and near-infrared data

摘要： 受大气吸收与散射的影响，电磁波在大气—目标物—遥感器途径传输过程中发生失真，造成目标地物反射辐射能量到达遥感器时被衰减。给计算地表反照率/反射率和地表温度等关键参数带来较大的误差。选择陆地卫星7号ETM+遥感影像的可见光、近红外波段数据，利用6S模型，进行大气辐射校正和反射率反演。同步气象数据用于遥感器所接受的大气顶部辐射的模拟、验证和评价6S对大气校正的可靠性。最后对ETM+可见光和近红外波段数据大气校正前后的反射辐射和均一化植被指数（NDVI）的变化进行了对比研究。

关键词: 6S模型, 遥感数据的大气校正, 定量遥感, 可见光和近红外波段数据