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首页> 外文会议>Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International >Soil moisture retrieval using the Danish L- C-band polarimetric SAR
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Soil moisture retrieval using the Danish L- C-band polarimetric SAR

机译：使用丹麦L波段和C波段极化SAR反演土壤水分

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摘要

Danish polarimetric SAR data have been applied to estimate soil moisture (SM). The preliminary results evaluated with the L- and C-band SAR data acquired at the Danish test site Foulum during a number of missions in 1994 and 1995 are presented. In situ data have been collected during the SAR missions and the variations of SM at field scale are discussed. The integral equation method (IEM), the Dubois empirical model and the Oh polarized-ratio model have been used as algorithms to inverse SM from polarimetric SAR data under near bare field conditions. Comparisons between the inversions and the in situ measured data showed that the Dubois empirical model gave the best results for inversion of SM. The standard deviations between the inversed and the measured data at C-band are s(m/sub u/)=6.1% for SM and s/sub /spl sigma//=0.37 cm for soil surface rms height, respectively. C-band data are better than L-band data for estimation of surface roughness.
机译：丹麦极化SAR数据已用于估算土壤湿度（SM）。呈现了在1994年和1995年的多次访问中，使用在丹麦测试站点Foulum获得的L波段和C波段SAR数据评估的初步结果。在搜救任务期间已收集了现场数据，并讨论了实地尺度上SM的变化。积分方程法（IEM），Dubois经验模型和Oh极化比模型已被用作在近空场条件下根据极化SAR数据反演SM的算法。反演和现场测量数据之间的比较表明，Dubois经验模型为SM的反演提供了最好的结果。 C波段的反演数据和实测数据之间的标准差分别为：SM（s / m / sub u /）= 6.1％，土壤表面rms高度的s / sub / spl sigma // = 0.37 cm。在估计表面粗糙度方面，C波段数据优于L波段数据。

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