【摘要】 土壤水分是地表能、水循环过程中的重要变量之一,利用主动微波遥感,特别是合成孔径雷达(SAR)进行土壤水分的反演已经越来越受到人们的关注。地表与微波相互作用机理非常复杂,受到粗糙度的强烈影响,成为制约土壤水分准确反演的一个重要因素。利用3景时序接近的ASAR影像对黑河中游临泽草地试验区地表参数进行了多通道的反演,获得了像元尺度上的粗糙度分布状况,从而不需要借助粗糙度的地面测量辅助信息,节省了工作量。土壤水分反演取得了较为满意的结果(均方根误差<6%)。更多还原

【Abstract】 Soil moisture is a key variable for the cycling of water and energy in the soil-atmosphere intreface.Active microwave remote sensing,especially radar remote sensing has shown its potential for retrieving soil moisture from soil surfaces.Since the backscattering process is very complicated and also influenced by soil roughness,the characterization of this roughness is crucial for an accurate estimation.The algorithm proposed in this investigation aiming to obtain the roughness parameters and soil moisture in SAR pixel scale simultaneously without the ancillary roughness ground measurements in virtue of 3 scenes ASAR images.An evaluation was performed in the middle stream of Heihe river basin and achieved reliable results(RMSE less than 6 vol %).更多还原