计算机科学
大数据
数据挖掘
数据立方体
集合(抽象数据类型)
数据集
时间序列
模式(遗传算法)
数据集成
数据建模
系列(地层学)
卫星
情报检索
样品(材料)
地球观测
遥感
地理编码
体积热力学
数据库
数据处理
地球观测卫星
多维数据
期限(时间)
数据结构
工作(物理)
全球定位系统
卫星图像
标识
DOI:10.6084/m9.figshare.30869477
摘要
Earth data continuously grow in volume and complexity, beyond classical 1D timeseries and 2D maps also encompassing 3D x/y/t satellite image timeseries and x/y/z geophysical data, 4D x/y/z/t atmospheric and maritime data, among others. This signals an increasing importance of multidimensional, typically spatio-temporal “Big Data”, very often forming datacubes. In standardization, coverages establish data structures for such space/time-varying phenomena. Coverages are supported by a set of mature standards, maintained in a continuous cooperation of ISO and OGC and with manifold uptake and implementation. At its heart is the coverage data model standard, Coverage Implementation Schema (CIS). In this contribution we introduce CIS as standardized by ISO and OGC, explain it in detail, and give background information and examples. As such, the paper can be considered a “companion paper” to the standard. We present ISO 19123–2 CIS up to and including the current integration work with OGC CIS 1.1. Before diving into the details, the concepts and terms are explained as defined by ISO 19123–1. To complete the plot, some related standards and a sample implementation are presented.
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