多种遥感数据的综合编图研究

分析了多光谱、卫星测高和成像雷达3种数据的几何定位精度、水深反演有效范围和灵敏度等特性,利用TM、SPOT和SAR数据,研究其水深反演精度和同一性,由此确定了水深综合编图的原则。采用加权平均的数据融合技术,探讨了编制理想综合图件的方法。     

Disjunctive Kriging with Hard and Imprecise Data

This paper presents a methodology for assessing local probability distributions by disjunctive kriging when the available data set contains some imprecise measurements, like noisy or soft information or interval constraints. The basic idea consists in replacing the set of imprecise data by a set of pseudohard data simulated from their posterior distribution; an iterative algorithm based on the Gibbs sampler is proposed to achieve such a simulation step. The whole procedure is repeated many times and the final result is the average of the disjunctive kriging estimates computed from each simulated data set. Being data-independent, the kriging weights need to be calculated only once, which enables fast computing. The simulation procedure requires encoding each datum as a pre-posterior distribution and assuming a Markov property to allow the updating of pre-posterior distributions into posterior ones. Although it suffers some imperfections, disjunctive kriging turns out to be a much more flexible approach than conditional expectation, because of the vast class of models that allows its computation, namely isofactorial models.     

Development of Geological Data Warehouse

Data warehouse (DW), a new technology invented in 1990s, is more useful for integrating and analyzing massive data than traditional database. Its application in geology field can be divided into 3 phrases: 1992-1996, commercial data warehouse (CDW) appeared; 1996-1999, geological data warehouse (GDW) appeared and the geologists or geographers realized the importance of DW and began the studies on it, but the practical DW still followed the framework of DB; 2000 to present, geological data warehouse grows, and the theory of geo-spatial data warehouse (GSDW) has been developed but the research in geological area is still deficient except that in geography. Although some developments of GDW have been made, its core still follows the CDW-organizing data by time and brings about 3 problems: difficult to integrate the geological data, for the data feature more space than time; hard to store the massive data in fifferent levels due to the same reason; hardly support the spatial analysis if the data are organized by time as CDW does. So the GDW should be redesigned by organizing data by scale in order to store mass data in different levels and synthesize the data in different granularities, and choosing space control points to replace the former time control points so as to integrate different types of data by the method of storing one type data as one layer and then to superpose the layers. In addition, data cube, a wide used technology in CDW, will be no use in GDW, for the causality among the geological data is not so obvious as commercial data, as the data are the mixed result of many complex rules, and their analysis needs the special geological methods and software; on the other hand, data cube for mass and complex geo-data will devour too much store space to be practical. On this point, the main purpose of GDW may be fit for data integration unlike CDW for data analysis.     

Rivers, chemical weathering and Earth's climate

We detail the results of recent studies describing and quantifying the large-scale chemical weathering of the main types of continental silicate rocks: granites and basalts. These studies aim at establishing chemical weathering laws for these two lithologies, describing the dependence of chemical weathering on environmental parameters, such as climate and mechanical erosion. As shown within this contribution, such mathematical laws are of primary importance for numerical models calculating the evolution of the partial pressure of atmospheric CO₂ and the Earth climate at geological timescales. The major results can be summarized as follow: (1) weathering of continental basaltic lithologies accounts for about 30% of the total consumption of atmospheric CO₂ through weathering of continental silicate rocks. This is related to their high weatherability (about eight times greater than the granite weatherability); (2) a simple weathering law has been established for basaltic lithologies, giving the consumption of atmospheric CO₂ as a function of regional continental runoff, and mean annual regional temperature; (3) no such simple weathering law can be proposed for granitic lithologies, since the effect of temperature can only be identified for regions displaying high continental runoff; (4) a general law relating mechanical erosion and chemical weathering has been validated on small and large catchments. The consequences of these major advances on the climatic evolution of the Earth are discussed. Particularly, the impacts of the onset of the Deccan trapps and the Himalayan orogeny on the global carbon cycle are reinvestigated. To cite this article: B. Dupré et al., C. R. Geoscience 335 (2003).     

GPS与INSAR数据融合研究展望

分析了GPS与INSAR数据融合的必要性与可行性 ,讨论了GPS与INSAR数据融合存在的主要问题 ,进一步探讨了利用GPS数据改善INSAR相位解缠算法 ,利用GPS与INSAR数据融合建立水汽模型和大气层延迟误差改正模型 ,以及GPS高时间分辨率和高平面位置精度与INSAR高空间分辨率和高高程变形精度有效统一的问题。     

测量平差函数模型的若干讨论

讨论了测量平差函数模型的几种形式———参数模型、非参数模型及半参数模型 ,分别论述了各种模型的优缺点及其适用范围。半参数模型对于客观实际具有极强的解释能力 ,应给予充分的重视和深入的研究。     

国家地理空间信息基准框架工程建设

提出了国家地理空间信息基准框架内改进与更新原有的大地坐标基准、高程基准和重力基准的建设道路及解决原则。     

大地测量数据接口技术与接口标准

建立了由接口文件、接口文件处理器和共享信息模型组成的大地测量数据接口体系结构，划分了大地测量数据服务的3类不同接口类型。在建立了面向对象的接口数据模型的基础上，讨论了面向传统用户的控制点数字化成果格式、面向生产过程的大地控制网统一数据结构和面向GIS的大地测量数据交换格式。     

Web环境下SVG地图浏览器的设计与实现

SVG是近年来发展起来的基于XML的用于描述矢量图形、图像的标准规范，该规范的制定对网上矢量地图数据的共享具有十分重要的意义，基于SVG的矢量地图十分有利于地理空间数据的传播。文中首先分析了目前Web环境下矢量地图发布存在的问题，之后介绍了SVG的有关情况，最后基于Adobe的SVG Vie—wer2．0设计并实现了一个SVG地图浏览器，着重研究了3个问题，即矢量地图数据在SVG文档中的组织与编码，地图浏览器界面的设计以及若干地图操作功能的实现。     

地理空间元数据及其相关技术的探讨

对地理空间元数据的概念、功能、内容及标准化情况进行了详细的介绍，并就其部分相关技术做了深入的探讨。