卫星导航系统差分增强技术发展研究

随着用户对卫星导航系统需求的日趋膨胀,高精度差分技术已呈现出新的特征与发展趋势。本文从差分原理、技术、系统几个层面综合分析了现有差分系统的优缺点及发展趋势,在此基础上,探讨了我国卫星导航系统后续差分增强系统发展应关注的重点问题,并给出了几点建议。     

基于遥感和GIS技术的漓江自然地貌破坏现状调查

针对漓江流域自然地貌被人为破坏的现状,以0.61 m分辨率的QuickBird 2和5.6m分辨率的IRS-P6卫星遥感数据为信息源,在ENVI和MapGIS软件的支持下,对漓江流经桂林市区段,即兰洲大桥—磨盘山大桥之间约30 km河岸自然地貌遭受人为破坏的现状开展了遥感调查.通过遥感图像处理、分析和人机交互解译,对3种河岸地类(农林用地、建筑用地和自然景观区用地)进行了测量与统计分析,结果表明:2009年漓江两岸农林用地占岸长度为河岸总长度的57.78％,建筑用地占35.95％,自然景观用地仅占6.27％.这说明,随着桂林城市规模的急速扩展,人类活动对漓江自然地貌形态造成了严重破坏,漓江综合治理已经刻不容缓.     

国土资源部门户网站信息资源整合体系研究

国土资源部门户网站是国土资源信息化建设的重要内容之一,历经10余年的发展建设,在服务国土资源管理决策和信息社会化需求方面发挥了较为重要的作用。本文围绕国土资源部门户网站信息资源整合建设实践,系统地阐述了网站的整合目标、原则、分类体系,着重介绍了系统架构、实现方法与建设成果。     

新媒介环境下政府信息公开研究

媒介是传递信息的载体,传统意义上是指报刊、广播、电视等媒介,随着传播新技术的发展,出现了以互联网络、手机为代表的新媒介。与传统媒介相比,新媒介有其不同的涵义和特点,对政府信息公开工作产生着重要影响。本文从新媒介的概念和特点出发,分析了新媒介对政府信息公开的影响,阐述了新媒介环境下如何做好政府信息公开工作,最后提出在新媒介环境下对国土资源政府信息公开的几点思考和建议。     

利用MorPAS对上黑龙江成矿带进行金成矿预测

上黑龙江成矿带主要由早-中侏罗世河流-湖泊-洪积相含煤碎屑岩组成,目前已发现多个中小型矿床,在该区进行成矿预测意义重大。文章利用MORPAS成矿预测系统,采用证据权重法进行了成矿预测工作,在充分研究区内已知矿床的成矿规律基础上,以1：257Y地质图为背景,物化探异常分析子系统对1：20万区域化探数据进行C—A分形确定异常下限,综合现有的找矿标志,提取有利的成矿要素,进行针对处理,制成上黑龙江成矿带MORPAS金成矿预测分析图,提供成矿靶区,为森林高覆盖区提供找矿有利单元。     

一种新的近似平行沟渠群的典型化方法

提出并实现了一种针对近似平行沟渠群的典型化方法。首先,建立沟渠的方位关系图,通过生成关系图中各连通分量的极大完全子图,提取近似平行的沟渠;然后,依据视觉认知规律定义沟渠间的认知距离,并基于最小生成树的剪枝对沟渠进行分组;接着,运用K-means ++算法对分组后的沟渠进行重新表达;最后,通过比较综合前后沟渠群的外轮廓相似性以及沟渠分布密度的差异,对典型化结果进行了评价。对广州市数据进行了实验,结果表明该方法能有效进行近似平行的沟渠群的典型化。     

The determination of potential difference by the joint application of measured and synthetical gravity data: a case study in Hungary

In an elementary approach every geometrical height difference between the staff points of a levelling line should have a corresponding average g value for the determination of potential difference in the Earth’s gravity field. In practice this condition requires as many gravity data as the number of staff points if linear variation of g is assumed between them. Because of the expensive fieldwork, the necessary data should be supplied from different sources. This study proposes an alternative solution, which is proved at a test bed located in the Mecsek Mountains, Southwest Hungary, where a detailed gravity survey, as dense as the staff point density (~1 point/34 m), is available along a 4.3-km-long levelling line. In the first part of the paper the effect of point density of gravity data on the accuracy of potential difference is investigated. The average g value is simply derived from two neighbouring g measurements along the levelling line, which are incrementally decimated in the consecutive turns of processing. The results show that the error of the potential difference between the endpoints of the line exceeds 0.1 mm in terms of length unit if the sampling distance is greater than 2 km. Thereafter, a suitable method for the densification of the decimated g measurements is provided. It is based on forward gravity modelling utilising a high-resolution digital terrain model, the normal gravity and the complete Bouguer anomalies. The test shows that the error is only in the order of 10⁻³mm even if the sampling distance of g measurements is 4 km. As a component of the error sources of levelling, the ambiguity of the levelled height difference which is the Euclidean distance between the inclined equipotential surfaces is also investigated. Although its effect accumulated along the test line is almost zero, it reaches 0.15 mm in a 1-km-long intermediate section of the line.     

离散位场数据格网化方法探讨

针对均衡异常数据,比较分析了连续曲率张力样条方法、最小曲率方法和Shepard方法,结果表明张力样条方法解的全局效果较好。     

Using gravity and topography-implied anomalies to assess data requirements for precise geoid computation

Many regions around the world require improved gravimetric data bases to support very accurate geoid modeling for the modernization of height systems using GPS. We present a simple yet effective method to assess gravity data requirements, particularly the necessary resolution, for a desired precision in geoid computation. The approach is based on simulating high-resolution gravimetry using a topography-correlated model that is adjusted to be consistent with an existing network of gravity data. Analysis of these adjusted, simulated data through Stokes’s integral indicates where existing gravity data must be supplemented by new surveys in order to achieve an acceptable level of omission error in the geoid undulation. The simulated model can equally be used to analyze commission error, as well as model error and data inconsistencies to a limited extent. The proposed method is applied to South Korea and shows clearly where existing gravity data are too scarce for precise geoid computation.