地理信息技术的发展与应用

地理信息系统是国家信息资源的重要组成部分。地理信息技术经过20多年的飞速发展，已经渗透到社会各个方面，促使人们生产、生活方式发生深刻变化。我国地理信息系统(GIS)技术正在向信息化方向发展，并正在逐步成为面向21世纪的支柱产业一信息产业的重要组成部分。国际GIS技术的发展趋势，主要体现在两个方面，一是综合，二是分化。从空间信息处理的角度看，可将GIS的发展分为空间信息的管理、分析、模拟和调控四个阶段。GIS技术的应用表现在一是面向大型项目，二是面向公众。     

库区塌岸空间信息管理系统构建

以ArcGIS为平台，扩展其专业功能，建立一套集库区塌岸预测与防治有关的基本信息采集、信息管理、预测评价，以及塌岸防治工程决策于一体的“库区塌岸信息管理系统及防治决策支持系统”。建立起库区各数据库和各库岸段的塌岸模式数据库，结合典型塌岸防治实例、专家经验、专家知识，建立塌岸防治决策支持系统，为库区塌岸防治工程的宏观决策提供技术支撑，同时也可对重大灾情进行及时预警预报提供数据支撑。     

Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review

The conventional means to record hydrological parameters of aflood often fail to record an extreme event. Remote sensingtechnology along with geographic information system (GIS)has become the key tool for flood monitoring in recent years.Development in this field has evolved from optical to radarremote sensing, which has provided all weather capabilitycompared to the optical sensors for the purpose of flood mapping.The central focus in this field revolves around delineation of floodzones and preparation of flood hazard maps for the vulnerable areas.In this exercise flood depth is considered crucial for flood hazardmapping and a digital elevation model (DEM) is considered to bethe most effective means to estimate flood depth from remotelysensed or hydrological data. In a flat terrain accuracy of floodestimation depends primarily on the resolution of the DEM. Riverflooding in the developing countries of monsoon Asia is very acutebecause of their heavy dependence on agriculture but any floodestimation or hazard mapping attempt in this region is handicappedby poor availability of high resolution DEMs. This paper presents areview of application of remote sensing and GIS in flood managementwith particular focus on the developing countries of Asia.     

Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey

In the last decades, landslide hazard assessment has attracted many researchers' attention. A number of parameters are suggested to be responsible to quantitatively explain the mechanism of landslides; many of these parameters are very important and factual. However, some data types and models are site-specific and could not be applied to different locations. Furthermore, the data stored in continuous parameter maps are divided into a number of classes arbitrarily, depending on the vision of the expert. Basically, this division controls the result of bivariate analysis. Besides, the responsible portion of the parameter map controlling the mechanism is also weighted arbitrarily. Based on these two facts, the class boundaries put a prejudice on the produced susceptibility/hazard maps, which result in dependence on the knowledge of the user rather than being dependent on the data and the fact itself. The aim of this study is to refine the previously defined methods in a more data-dependent trend. To achieve this goal, two new concepts: seed cells and percentile maps are introduced. Seed cells are the zones that are considered to represent the best undisturbed morphological decision rules (conditions before landslide occurs) and would be achieved by adding a buffer zone to the crown and flank areas of the landslide. To quantitatively classify the input parameter maps, the data distributions of seed cells in the parameter maps are divided into a number of classes on the basis of their distribution's percentile break-points upon which the parameter maps are directly dependent on the seed cell distributions, hence to the data itself.     

昆明市东川区泥石流信息系统的建立及其应用

根据东川区泥石流的成因、泥石流灾害信息源、各类数据的表达方式及泥石流信息系统的应用等，对东川区泥石流信息系统进行了系统分析，在此基础上利用3S技术，在ARCVIEW的AVENUE开发语言支持下，集成各类数据，建立东川区泥石流信息系统，最后讨论了该系统在泥石流危险度区划及灾害趋势分析中的应用。     

自适应空间信息移动服务

空间信息移动服务系统是空间信息系统继由传统PC计算环境向有线Web分布式计算环境扩展后，向移动计算环境的新发展。文中在分析移动计算环境概念和特点的基础上，讨论了空间信息移动服务的若干特点及关键技术，研究了自适应空间信息移动服务方案。     

基于J2EE的分布式WebGIS研究

在对比分析传统的WebGIS各种实现模式优缺点的基础上，探讨了利用企业级J2EE技术实现分布式WebGIS的解决方案，使WebGIS更好地满足企业级应用的需要。     

探索地理信息智能化处理技术

GIS自产生至今30多年来，世界各国都竞相开展GIS技术研究和应用开发，使其得到了迅速的发展，已形成较为完整的理论体系和大批实用系统，并已在社会各专业领域得到广泛应用并产生了巨大效益，目前，开始朝着产业化、集成化、智能化和社会化的方向发展。随着3S技术的集成应用，人们对GIS的运行效率及其深入的应用提出了更高的要求，地理信息智能化处理已成为地图学和GIS建设必须解决的问题，也是GIS发展的必然方向。在地理信息处理中采用人工智能技术，发展智能GIS或者专家GIS，是解决复杂地学问题的重要途径，也是目前GIS最吸引人的一个应用方向。目前在地理信息处理的许多领域都在使用人工智能技术，比如地图模式识别、地理数据的自动分类、地学专家系统、智能GIS、空间数据挖掘等。本文通过对当前地理信息智能化处理技术发展现状的阐述，旨在探索人工智能在地理信息处理中的应用前景。     

基础地理信息应用服务研究

本文全面、系统地分析了基础地理信息在地理信息产业中的作用、基础地理信息的各种应用，并在此基础上提出了基础地理信息的服务策略。     

GIS技术支持下的江苏省环境自动监控系统建设

GIS是江苏省环境自动监控系统建设中重要的支撑性信息技术，在GIS数据以及软件系统的支持下．全省各种环境自动监控信息的获取、存贮、管理和显示实现了信息处理业务化集成，网络化环境自动监控信息共享与服务GIS系统为增强我省适应环境管理现代化的环境信息快速获取和应急决策响应能力发挥了良好作用。