In the era of ubiquitous data collection and generation, demands are high to make these data accessible as widely as possible, with as little effort and as much power and flexibility as ever possible. On Earth data, this holds in particular for pixel data and point clouds, some of the main “Big Data” today. Coverages represent a unifying concept for space/time-varying data, especially for spatio-temporal gridded data, nowadays often called “datacubes".

Coverage standards exist, however, their fundaments appear in places technically outdated, imprecise, and not suitable for the full spectrum of data. Due to this lack there is a danger of missing interoperability goals and impeding future-directed “Big Earth Data” services.

We introduce the conceptual coverage model of the forthcoming ISO 19123-1 standard. It is generic, supporting all spatio-temporal dimensions in a unified manner, and is compatible with the existing coverage implementation standards of OGC and ISO. We demonstrate feasibility through concrete service examples.

在无处不在的数据收集和生成时代，要求以尽可能少的努力和尽可能多的力量和灵活性尽可能广泛地访问这些数据。在地球数据上，这尤其适用于像素数据和点云，这是当今一些主要的“大数据”。覆盖率代表了空间/时变数据的统一概念，尤其是时空网格数据，现在通常称为“数据立方体”。

覆盖标准存在，但是，它们的基础出现在技术上过时、不精确且不适合所有数据的地方。由于这种缺乏，存在缺少互操作性目标并阻碍面向未来的“大地球数据”服务的危险。

我们介绍了即将推出的 ISO 19123-1 标准的概念覆盖模型。它是通用的，统一支持所有时空维度，兼容OGC和ISO现有的覆盖实现标准。我们通过具体的服务示例证明了可行性。