关于建设省级地理空间数据交换中心的思考     

王良清 《现代测绘》2006,29(6):39-41

省级地理空间数据交换中心是国家空间信息基础设施建设的核心内容之一。本文针对现阶段在我国建设省级地理空间数据交换中心的问题，分析了其基本建设内容，提出了需解决和应用的关键技术。  相似文献   

利用IRS-P6卫星数据制作遥感影像地图     

张幼莹 《国土资源信息化》2006,29(1):30-32,5

本文介绍了以IRS-P6卫星数据作为信息源完成大兴安岭林区的遥感影像地图制作的方法, 通过试验初步认识到:利用IRS-P6卫星数据制作遥感影像地图,可以满足1:50000、 1:25000比例尺的平面制图精度要求,在一些专业和专题应用中可以放大到1:15000比例尺使用。  相似文献   

城镇地籍数据更新与监理入库子系统设计方案探讨     

张鸿辉  王泽昌 《国土资源信息化》2006,(3):11-13,41

本文结合作者目前所从事的城镇地籍数据库建设工作的相关经验,论述了城镇地籍数据库建设面临数据不断更新的需求,并基于城镇地籍管理信息系统,提出了一整套具有实际操作意义的城镇地籍数据更新、数据监理、数据入库模块的设计方案。  相似文献   

基于MapGIS6．X研究和ArcGIS9．0平台的数据格式转换研究   总被引：5，自引：0，他引：5  

索俊锋 《国土资源信息化》2006,(4):29-32

本文深入讨论了MapGIS和ArcGIS两种GIS软件的数据格式,并详细介绍了MapGIS6．X和ArcGIS9．0的数据互相转换过程。在MapGIS向ArcGIS数据转换时,首先将MapGIS6．X转换为E00格式,然后在ArcCatolog中将E00数据转换为Coverage格式,转换后对于多边形数据需要在Arc中进行拓扑重建,然后由Coverage格式就可以转换成ArcGIS9．0的任意格式。  相似文献   

超级终端在自动站维护中的应用   总被引：12，自引：0，他引：12  

殷明洁 《广西气象》2006,27(1):55-57

利用Windows操作系统中的超级终端检测、判断自动站采集器的状态，同时可对已缺测的正点数据进行补救。  相似文献   

MODIS遥感数据格式及使用方法综合分析     

赵文化  单海滨  钟儒祥 《气象与环境科学》2007,30(1):44-48

针对当前MODIS遥感资料推广应用中数据产品使用者和开发者在实际工作中经常遇到数据格式和计算方法方面的问题,分析了MODIS遥感资料的数据格式,以及如何使用定标后的1B数据计算地球视场的光谱反射率和辐射率进而生成各种气象和环境监测应用产品,并给出了一个数据处理应用实例.  相似文献   

三维地震数据可视化原理及方法   总被引：5，自引：0，他引：5  

张二华  高林  马仁安  杨静宇 《CT理论与应用研究》2007,16(3):20-28

可视化是实现三维地震数据真三维解释的有效方法,本文介绍了三维地震数据可视化的基本原理,论述了用光线投射算法实现可视化的主要步骤,详细推导了合成可视化图像的计算公式,分析了阻光度曲线的物理意义及对可视化图像的调节作用,并用两个实际三维地震数据进行了试验.结果表明该方法能够由原始三维地震数据直接对地质体进行成像,能将分散的、孤立的信息互相联系起来,揭示隐藏在数据中的地质现象和规律.  相似文献   

Java多线程及多点连接技术在WebGIS数据传输中的应用     

Peng Zhuangzhi Yu Xin School of Remote Sensing  Information Engineering  Wuhan University  Luoyu Road  Wuhan  China 《测绘科技情报》2007,(1)

目前空间数据的传输效率低下已成为制约WebGIS发展的主要瓶颈之一。多线程技术以及多点连接在提高系统吞吐率、有效利用系统资源、改善用户任务之间的通信效率等方面有着显著作用。本文采用地图分层和图面分割的方法以及Java多线程和多点连接技术实现了WebGIS空间数据的高效传输。  相似文献   

A Task-Based Ontology Approach to Automate Geospatial Data Retrieval   总被引：1，自引：0，他引：1  

Nancy Wiegand  Cassandra García 《Transactions in GIS》2007,11(3):355-376

This paper presents a task‐based and Semantic Web approach to find geospatial data. The purpose of the project is to improve data discovery and facilitate automatic retrieval of data sources. The work presented here helps create the beginnings of a Geospatial Semantic Web. The intent is to create a system that provides appropriate results to application users who search for data when facing tasks such as emergency response or planning activities. In our task‐based system, we formalize the relationships between types of tasks, including emergency response, and types of data sources needed for those tasks. Domain knowledge, including criteria describing data sources, is recorded in an ontology language. With the ontology, reasoning can be done to infer various types of information including which data sources meet specific criteria for use in particular tasks. The vision presented here is that in an emergency, for example, a user accesses a Web‐based application and selects the type of emergency and the geographic area. The application then returns the types and locations (URLs) of the specific geospatial data needed. We explore the abilities and limitations of the OWL Web Ontology Language along with other Semantic Web technologies for this purpose.  相似文献   

A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling     

《International Journal of Applied Earth Observation and Geoinformation》2007,9(2):165-193

During the last 50 years, the management of agroecosystems has been undergoing major changes to meet the growing demand for food, timber, fibre and fuel. As a result of this intensified use, the ecological status of many agroecosystems has been severely deteriorated. Modeling the behavior of agroecosystems is, therefore, of great help since it allows the definition of management strategies that maximize (crop) production while minimizing the environmental impacts. Remote sensing can support such modeling by offering information on the spatial and temporal variation of important canopy state variables which would be very difficult to obtain otherwise.In this paper, we present an overview of different methods that can be used to derive biophysical and biochemical canopy state variables from optical remote sensing data in the VNIR-SWIR regions. The overview is based on an extensive literature review where both statistical–empirical and physically based methods are discussed. Subsequently, the prevailing techniques of assimilating remote sensing data into agroecosystem models are outlined. The increasing complexity of data assimilation methods and of models describing agroecosystem functioning has significantly increased computational demands. For this reason, we include a short section on the potential of parallel processing to deal with the complex and computationally intensive algorithms described in the preceding sections.The studied literature reveals that many valuable techniques have been developed both for the retrieval of canopy state variables from reflective remote sensing data as for assimilating the retrieved variables in agroecosystem models. However, for agroecosystem modeling and remote sensing data assimilation to be commonly employed on a global operational basis, emphasis will have to be put on bridging the mismatch between data availability and accuracy on one hand, and model and user requirements on the other. This could be achieved by integrating imagery with different spatial, temporal, spectral, and angular resolutions, and the fusion of optical data with data of different origin, such as LIDAR and radar/microwave.  相似文献