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

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