GPS在鞍山市城区地壳形变监测中的应用

GPS作为全球卫星定位系统已经成功地应用于军事、交通、大地测量、地壳形变监测等方面。本文所要研究的是将GPS技术应用于地壳形变监测中所采取的测量方法及精度分析。     

Modeling the length of day and extrapolating the rotation of the Earth

The stochastic behavior of the length of day (LOD) process is analyzed and is modeled within statistical accuracy on a time-scale ranging from weeks to millennia by a three-component model comprising a global Brownian motion process, decadal fluctuations, and a 50-day Madden–Julian oscillation. While the model is intended to be phenomenological, some possible physical models underlying the three components are speculated upon. The model is applied to estimate long-range extrapolation errors. For example, it predicts a standard error of 1 h in the clock-time correction ΔT for extrapolation by 1,500 years from 500 to 2000 BC.     

Remotely sensed estimation of forest canopy density: A comparison of the performance of four methods

In recent years, a number of alternative methods have been proposed to predict forest canopy density from remotely sensed data. To date, however, it remains difficult to decide which method to use, since their relative performance has never been evaluated. In this study the performance of: (1) an artificial neural network, (2) a multiple linear regression, (3) the forest canopy density mapper and (4) a maximum likelihood classification method was compared for prediction of forest canopy density using a Landsat ETM+ image. Comparison of confusion matrices revealed that the regression model performed significantly worse than the three other methods. These results were based on a z-test for comparison of weighted kappa statistics, which is an appropriate statistic for analysis of ranked categories. About 89% of the variance of the observed canopy density was explained by the artificial neural networks, which outperformed the other three methods in this respect. Moreover, the artificial neural networks gave an unbiased prediction, while other methods systematically under or over predicted forest canopy density. The choice of biased method could have a high impact on canopy density inventories.     

Earth rotation parameter estimation by GPS observations

The methods of Earth rotation parameter （ERP） estimation based on IGS SINEX file of GPS so- lution are discussed in detail. There are two different ways to estimate ERP： one is the parameter transformation method, and the other is direct adjustment method with restrictive conditions. By comparing the estimated results with independent copyright program to IERS results, the residual systemic error can be found in estimated ERP with GPS observations.     

机载LiDAR点云获取与高精度DEM建设关键技术探讨

结合广东省机载LiDAR点云获取与高精度DEM建设项目,介绍了项目总体技术路线,针对项目难点,从设备选择、点云密度设计、植被覆盖密集山区数据获取方法、点云数据分类组合算法、空白区处理等5个方面的关键技术进行了探讨,并提出解决方案,为同类项目的设计与实施提供参考。     

G/S模式下基于组件的地学浏览器设计与实现

针对空间信息网络服务在现有C/S、B/S模式下客户端功能的不足和空间数据服务需求,采用一种新型的空间信息服务模式--G/S模式,即地学浏览器/空间信息服务器模式,并对其可视化客户端G端地学浏览器(Geo-Browser)的系统架构和关键技术进行详细论述。利用Google Earth COM API组件开发技术,在国际标准KML支持下,对地学浏览器进行详细设计和实例验证,得出G/S模式下的地学浏览器在海量空间信息处理和三维展示方面具有明显优势的结论。     

超高层建筑平面控制网竖向传递实践与研究

分析了超高层建筑平面控制网的建立及竖向传递的方法,介绍了数字正垂在测定超高层建筑倾斜偏差的具体应用,实现了用全站仪法和GPS法来检核控制网竖向传递的精度。     

广州市公众地理信息服务平台的设计与开发

论述了城市基础测绘部门开发公众地理信息平台的必要性和优势,分析并讨论了公共地理信息服务平台中的公众地理信息服务平台、基础地理信息服务平台和政务地理信息服务平台在数据内容、功能框架、网络体系、服务对象上的不同,以广州市公众地理信息服务平台的开发为例,详细介绍了该平台的数据内容、功能框架和系统特色,该平台对其他城市开发类似的公众地理信息服务平台具有一定的参考作用。     

Geo-scape,a granularity depended spatialization tool for visualizing multidimensional data sets

Recently,the expertise accumulated in the field of geovisualization has found application in the visualization of abstract multidimensional data,on the basis of methods called spatialization methods.Spatialization methods aim at visualizing multidimensional data into low-dimensional representational spaces by making use of spatial metaphors and applying dimension reduction techniques.Spatial metaphors are able to provide a metaphoric framework for the visualization of information at different levels of gran...     

在Google Earth平台上的虚拟社区构建

介绍虚拟现实技术及其在GIS中的应用,并采用Google Earth作为平台,利用已有数据资料进行虚拟社区的构建,并借助Google Earth进行发布,初步实现了相关功能,在一定程度上实现了虚拟现实技术与传统地理信息的结合。