OGC API Coverages for Open Data Cube
Once an Open Data Cube implementation is set up on a computer, accessing the data typically requires running Python or R scripts on that same machine. This can pose a challenge for users who either lack the technical skills to write such scripts or do not have direct access to the server where the Open Data Cube instance is hosted.
In the AD4GD project, we developed a front-end implementation of the OGC API – Coverages in Python, tailored for integration with the Open Data Cube. Python code that implements a CGI in python that allows accessing the data of a Data Cube. OF A This interface acts as a translator between OGC API requests and the underlying Python code, which is executed on the server to retrieve and return the requested data in a standardized way.
The developement started as a WCS and WMS implementation, a simplified version of GetMap and GetCoverage operations, but evolved to support OGC APIs.
What is a coverage?
Acording to the W3C/OGC Spatial Data on the Web Best Practice, a coverage is a function that describe characteristics of real-world phenomena that vary over space and/or time. Typical examples are temperature, elevation and precipitation. A coverage is typically represented as a data structure containing a set of such values, each associated with one of the positions in a spatial, temporal or spatiotemporal domain.
What is Open Data Cube?
The Open Data Cube is a piece of software designed to store multidimensional data, meaning it can hold values across multiple spatial dimensions, as well as temporal, elevation, temperature, or other related properties simultaneously.
What is OGC API – Coverages?
OGC API – Coverages is an specification that defines the fundamental API building blocks for interacting with coverages.
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