首页> 外文会议>Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International >A new empirical model to inverse soil moisture and roughness using two radar configurations
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A new empirical model to inverse soil moisture and roughness using two radar configurations

机译:利用两种雷达配置反演土壤水分和粗糙度的新经验模型

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A new empirical model for the retrieval, at a field scale, of the bare soil moisture content and the surface roughness characteristics from radar measurements is proposed. The derivation of the algorithm is based on the results of 3 experimental radar campaigns conducted under natural conditions over agricultural areas. Radar data were acquired by means of several C-band space borne (SIR-C, RADARSAT) or helicopter borne (ERASME) sensors. This algorithm is more specifically developed using the radar cross-section /spl sigma//sup 0/ (HH polarization and 39/spl deg/ incidence angle off nadir), namely, /spl sigma//sub 0(HH,39)/, and the differential (HH polarization) radar cross-section /spl Delta//spl sigma//sub 0/=/spl sigma//sub 0,23/spl deg//-/spl sigma//sub 0,39/spl deg// in terms of an original roughness parameter, Zs, and Mv. An inversion technique is proposed to retrieve Zs and Mv from radar measurements.
机译:提出了一种新的经验模型,用于在野外尺度上从雷达测量中获取裸露的土壤水分含量和表面粗糙度特征。该算法的推导基于自然条件下在农业地区进行的3次实验性雷达战役的结果。雷达数据是通过几个C波段星载(SIR-C,RADARSAT)或直升飞机(ERASME)传感器获取的。该算法是使用雷达横截面/ spl sigma // sup 0 /(HH极化和39 / spl deg /入射角偏离最低点),即/ spl sigma // sub 0(HH,39)/ ,以及差分(HH极化)雷达横截面/ spl Delta // spl sigma // sub 0 / = / spl sigma // sub 0,23 / spl deg //-/ spl sigma // sub 0,39 /以原始粗糙度参数Zs和Mv表示为spl deg //。提出了一种反演技术,可从雷达测量结果中获取Zs和Mv。

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