首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >TAKING INTO ACCOUNT VEGETATION EFFECTS TO ESTIMATE SOIL MOISTURE FROM C-BAND RADAR MEASUREMENTS
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TAKING INTO ACCOUNT VEGETATION EFFECTS TO ESTIMATE SOIL MOISTURE FROM C-BAND RADAR MEASUREMENTS

机译:考虑帐户植被影响以通过C波段雷达测量估算土壤水分

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摘要

Estimation of surface soil moisture is one of the major potential applications of radar remote sensing. The European Remote Sensing Satellites (ERS 1 and 2) are equipped with a Synthetic Aperture Radar working at C-Band (5 Ghz) using a rather low incidence angle (23 degrees). For this frequency and angle, the effect of soil roughness and vegetation attenuation are not negligible. Therefore, it is difficult to estimate the surface soil moisture using an algorithm that could be valid for the entire year. In this article it is shown, that, for wheat canopy, it is possible to apply an empirical relation for correcting for the effect of vegetation. The proposed algorithm is derived from a data set acquired over several years (from 1988 to 1994) using an airborne radar. It uses a simple cloud model to describe the vegetation attenuation. This algorithm does not need very precise information on. vegetation density and yields a final precision for the moisture content on the order of 0.05 cm(3)/cm(3). [References: 9]
机译:估计表层土壤湿度是雷达遥感的主要潜在应用之一。欧洲遥感卫星(ERS 1和2)配备了工作在C波段(5 Ghz)的合成孔径雷达,入射角相当小(23度)。对于这个频率和角度,土壤粗糙度和植被衰减的影响不可忽略。因此,很难使用可能对全年有效的算法来估算地表土壤湿度。在本文中表明,对于小麦冠层,可以应用经验关系来校正植被影响。所提出的算法是使用机载雷达从几年(1988年至1994年)获得的数据集中得出的。它使用简单的云模型来描述植被衰减。该算法不需要非常精确的信息。植被密度并得出最终精度,其中水分含量约为0.05 cm(3)/ cm(3)。 [参考:9]

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