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The effort and cost required to convert satellite Earth Observation (EO) data into meaningful geophysical variables has prevented the systematic analysis of all available observations. To overcome these problems, we utilise an integrated High Performance Computing and Data environment to rapidly process, restructure and analyse the Australian Landsat data archive. In this approach, the EO data are assigned to a common grid framework that spans the full geospatial and temporal extent of the observations – the EO Data Cube. This approach is pixel-based and incorporates geometric and spectral calibration and quality assurance of each Earth surface reflectance measurement. We demonstrate the utility of the approach with rapid time-series mapping of surface water across the entire Australian continent using 27 years of continuous, 25?m resolution observations. Our preliminary analysis of the Landsat archive shows how the EO Data Cube can effectively liberate high-resolution EO data from their complex sensor-specific data structures and revolutionise our ability to measure environmental change.  相似文献   
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利用ArcGIS转换HPD源数据库中航海物标空间数据   总被引:2,自引:0,他引:2  
李颖  徐进  李家  张安民  卫国兵  杨龙 《测绘科学》2013,38(5):141-142,145
我国海事测绘部门自2008年开始引进CARIS HPD海道产品数据库系统,其空间数据共享转换方法一直是无法解决的难题。本文从CARIS HPD物标源数据库和Shapefile文件数据存储结构入手,详细阐述了CARIS HPD航海物标源数据空间信息获取方法和ArcGIS Shapefile文件生成方式,并提出将物标空间数据从HPD源数据库转换至Shapefile文件的解决方案。  相似文献   
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 The global positioning system (GPS) model is distinctive in the way that the unknown parameters are not only real-valued, the baseline coordinates, but also integers, the phase ambiguities. The GPS model therefore leads to a mixed integer–real-valued estimation problem. Common solutions are the float solution, which ignores the ambiguities being integers, or the fixed solution, where the ambiguities are estimated as integers and then are fixed. Confidence regions, so-called HPD (highest posterior density) regions, for the GPS baselines are derived by Bayesian statistics. They take care of the integer character of the phase ambiguities but still consider them as unknown parameters. Estimating these confidence regions leads to a numerical integration problem which is solved by Monte Carlo methods. This is computationally expensive so that approximations of the confidence regions are also developed. In an example it is shown that for a high confidence level the confidence region consists of more than one region. Received: 1 February 2001 / Accepted: 18 July 2001  相似文献   
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海事信息服务需要空间数据库的支持,就如何为海事管理及相关应用部门提供海事空间信息服务的问题,提出一个基于多源海道测绘数据库的海事空间信息服务平台搭建的技术方案.参照IHO关于构建MSDI的指引,深入探讨多源海道测绘数据库及其对外信息发布模块(SFE)的空间信息服务功能,为海事WebGIS服务设计了一个可行的技术方案.  相似文献   
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