天津市滨海地区地面沉降灾害风险评估与区划

文章对1985~2006年累计地面沉降量及近几年地面沉降速率进行分析和叠加评价,完成天津市滨海地区地面沉降灾害危险性分区图;以人口密度和单位面积GDP为指标进行易损性分析;从每km²水准测量km数和地下水压采量占开采量百分比两方面考虑防灾减灾能力;在此基础上,借助GIS空间分析方法,将危险性分区图、易损性分区图和防灾减灾能力分区图进行叠加分析,完成天津市滨海地区地面沉降灾害风险区划图,分为低风险区、较低风险区、中等风险区、较高风险区、高风险区5等。     

GIS应用中认知阶层性对地理信息有效传输的影响

GIS应用的最终目的是使其所包含的地理信息有效传递。该文从信息科学、认知科学及地理信息科学角度出发,指出认知空间和地理空间的阶层对应性是实现地理信息有效传递的基础;提出两类空间重叠区的概念,并阐明其在信息有效传递过程中的重要作用;确立认知科学在GIS应用中的两个基本原则是建立这种对应性的理论依据;强调信息制造者(制图者)是构建这种对应性的实施者,而信息接收者(用户)对认知空间分类阶层的正确识别则是构建这种对应性的出发点。     

利用目标区域拓扑关系图提取建筑物点云

以激光点云数据和倾斜多视影像为研究对象,提出了一种结合机载点云、地面点云及倾斜多视纹理的融合多源特征的建筑物三维模型重建方法。该方法结合点云面元以及影像边界特征,利用倾斜影像的线特征对顶面及立面模型进行边界规则约束,实现了面元自动拓扑重建;通过交互编辑完成不同复杂程度的建筑模型重建,并对模型进行纹理映射。实验结果表明,该方法能够有效提升城市建筑物三维模型重建的效率和边界精度,为利用多源数据的空地联合建筑物三维精细重建提供了一套切实可行的解决方案。     

一种针对海洋GIS应用的建模方法研究

为提高海洋GIS分析效率,使系统分析模型更简洁、更具领域特性,在分析相关针对GIS建模研究的基础上,利用UML的扩展机制,定义针对海洋GIS的面向对象建模语言UML-M。描述UML-M的元模型,研究基于UML-M的空间对象和空间关系的模型表现方法,包括简单空间对象、覆盖对象、复杂空间对象、时空对象等。实例分析表明,UML-M可以很好地应用在海洋GIS中。     

GIS-based flood hazard mapping at different administrative scales: A case study in Gangetic West Bengal, India

This paper addresses the need for an efficient and cost-effective methodology for preparing flood hazard maps in data poor countries, particularly those under a monsoon regime where floods pose a recurrent danger. Taking Gangetic West Bengal, India, as an example and using available historical data from government agencies, the study compiled a regional map indicating hazard prone subregional areas for further detailed investigation, thereby isolating actual high risk localities. Using a GIS (Geographical Information System), a composite hazard index was devised incorporating variables of flood frequency, population density, transportation networks, access to potable water, and availability of high ground and maximum risk zones were mapped accordingly. A digital elevation model derived from high resolution imagery available in the public domain was used to calculate elevated areas suitable for temporary shelter during a flood. Selecting administrative units of analysis at the lowest possible scales – rural development blocks (regional) and revenue villages (subregional) – also ensures that hazard mapping is prepared in line with the existing rural planning and administrative authorities responsible for remedial intervention.     

George J. Miller award for Distinguished Service

Abstract

With this paper, I elaborate the use of the movies American History X and Mi Familia in classroom settings to highlight issues of ethnicity and the social construction of identity through families and communities. Taken together, these movies draw attention to racial geographies of Los Angeles but in very different ways. I contrast the ways they involve familial reactions to geographies of exclusion and betrayal, and how racial space is structured through larger community and institutional relations. I speak to how these issues are broached in a large introductory, interdisciplinary class.     

Land cover classification by an artificial neural network with ancillary information

Abstract

Remote sensing is an important source of land cover data required by many GIS users. Land cover data are typically derived from remotely–sensed data through the application of a conventional statistical classification. Such classification techniques are not, however, always appropriate, particularly as they may make untenable assumptions about the data and their output is hard, comprising only the code of the most likely class of membership. Whilst some deviation from the assumptions may be tolerated and a fuzzy output may be derived, making more information on class membership properties available, alternative classification procedures are sometimes required. Artificial neural networks are an attractive alternative to the statistical classifiers and here one is used to derive a fuzzy classification output from a remotely–sensed data set that may be post–processed with ancillary data available in a GIS to increase the accuracy with which land cover may be mapped. With the aid ancillary information on soil type and prior knowledge of class occurrence the accuracy of an artificial neural network classification was increased by 29–93 to 77–37 per cent. An artificial neural network can therefore be used generate a fuzzy classification output that may be used with other data sets in a GIS, which may not have been available to the producer of the classification, to increase the accuracy with which land cover may be classified.     

从平台GIS到跨平台互操作GIS的发展

介绍了跨平台互操作GIS的基本概念、主要关键技术和目前的发展状况以及该技术在我国的进展。     

高分辨率遥感影像的精纠正

论述了对高分辨率遥感影像进行精纠正获得正射影像的关键技术。若干实际不同分辨率的高分辨率遥感影像被用于相应的实验,实例证明了本文算法的正确性。     

论数字城市工程及其技术体系

分析了数字城市的内涵,基于数字工程思想,总结了数字城市的工程结构与技术体系,进而阐述了数字城市的意义与建设策略。