An introduction to the OGC/ISO coverage and datacube standard for modeling multi-dimensional, spatio-temporal Big Data

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.

Institutions

Publication Details

Journal
Big Earth Data
Published
2025-12-12
DOI
https://doi.org/10.1080/20964471.2025.2585732
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An introduction to the OGC/ISO coverage and datacube standard for modeling multi-dimensional, spatio-temporal Big Data

Big Earth Data
Geographic Information Systems Studies
article

An introduction to the OGC/ISO coverage and datacube standard for modeling multi-dimensional, spatio-temporal Big Data

article en

Abstract

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.

Big Earth Data
Constructing Excellence (GB)
Openalex Percentile: Top 26%
Geographic Information Systems Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An introduction to the OGC/ISO coverage and datacube standard for modeling multi-dimensional, spatio-temporal Big Data · Big Earth Data (2025) | TGRS Research Map | TGRS