基于GIS的岩石裂隙空间分布模式研究

文中以甘肃北山花岗岩中发育的构造裂隙(主要指节理尺度)为研究对象,应用地质统计分析理论,以裂隙面密度P21 作为地质统计分析的区域性变量,探索花岗岩岩体裂隙空间分布模式。结果表明:甘肃北山芨芨槽候选场址区域内花岗岩岩体裂隙空间分布具有明显的各向异性特征,变异主轴方向明显; 变异主轴区域内的裂隙分组地质统计特征显示,区域内第1分组裂隙并非是传统意义上的均匀随机分布,而是具有明显的空穴效应特征,应该在三维裂隙网络建模工作中予以考虑。本文在考虑本组裂隙空穴效应特征基础上,针对三维裂隙网络建模方法提出了新的建议。     

Geostatistical estimation of signal-to-noise ratios for spectral vegetation indices

In the past 40 years, many spectral vegetation indices have been developed to quantify vegetation biophysical parameters. An ideal vegetation index should contain the maximum level of signal related to specific biophysical characteristics and the minimum level of noise such as background soil influences and atmospheric effects. However, accurate quantification of signal and noise in a vegetation index remains a challenge, because it requires a large number of field measurements or laboratory experiments. In this study, we applied a geostatistical method to estimate signal-to-noise ratio (S/N) for spectral vegetation indices. Based on the sample semivariogram of vegetation index images, we used the standardized noise to quantify the noise component of vegetation indices. In a case study in the grasslands and shrublands of the western United States, we demonstrated the geostatistical method for evaluating S/N for a series of soil-adjusted vegetation indices derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The soil-adjusted vegetation indices were found to have higher S/N values than the traditional normalized difference vegetation index (NDVI) and simple ratio (SR) in the sparsely vegetated areas. This study shows that the proposed geostatistical analysis can constitute an efficient technique for estimating signal and noise components in vegetation indices.     

地统计学方法研究与应用——以甘肃省为例

以甘肃省53个气象台站多年平均降水量和蒸发量为研究对象,运用地统计学分析方法,通过比较分析,分别采用指数模型和球状模型对降水量和蒸发量的半变异函数进行了拟合,并且应用克立格插值生成了年降水量与蒸发量的空间分布图,直观分析了研究对象的空间变异规律。