【摘要】 利用雷达进行地表观测的过程中,土壤粗糙度情况对雷达后向散射有重要影响,是地表土壤水分获取模型中的关键输入参数。目前,遥感领域大多数研究都是基于单尺度利用均方根高度s和相关长度l来描述水平和垂直方向土壤表面粗糙度的情况。为此,针对农用地地表不同粗糙度情况,分析了不同尺度的实际测量剖面数据,结果表明:表征粗糙度大小的s和l值变化不仅与表面粗糙情况有关,还与不同空间尺度相关;使用单一尺度来描述地表粗糙度情况是不准确的。更多还原

【Abstract】 Observing the land with radar, soil roughness has an great influence on radar backscatter, and is a critical input parameter of soil moisture retrieval models. Up to very recently, the remote sensing community has used for vertical and horizontal surface roughness a description based on single scale rms height and correlation length. In this paper, we analyzed surface profiles data of different scales in the case of agricultural fields having different roughness states. The results show that the values of s and l depends both on the rough state of the surface and on the range of spatial scales, their values increase with increasing profile length. It is inaccurate that the surface soil roughness is characterized by single-scale.更多还原