Data Cube Ecosystem¶
API Access from Jupyter¶
One of the most comment ways to use Open Data Cube is through interactively writing Python code within a Jupyter Notebook. This allows dynamically loading data, performing analysis and developing scientific algorithms.
See Jupyter Notebooks for some examples.
OGC Web Services¶
The datacube-ows server allows users to interact with an Open Data Cube through Open Goespatial Consortium Web Service Clients such as QGIS and Web Maps. It supports the WMS and WCS standards.
Examples of this web server can be found in the Australian National Map service.
Data Cube Explorer¶
Data Cube Explorer is a web application for searching and browsing the metadata available from an Open Data Cube. It has rich visualisation abilities to show the available data extents, and can be used to browse the provence of indexed data.
See the Digital Earth Australia Explorer for an example deployment showing the power of this tool.
Data Cube UI¶
The Data Cube UI is a full stack Python web application used to perform analysis on raster datasets using the Data Cube. Using common and widely accepted frameworks and libraries, our UI is a good tool for demonstrating the Data Cube capabilities and some possible applications and architectures.
Data Cube Stats¶
Data Cube Statistics is a an application used to calculate large scale temporal statistics on data stored using an Open Data Cube installation. It provides a command line application which uses a YAML configuration file to specify the data range and statistics to calculate.
Cube in a Box¶
Cube in a Box provides everything needed to get up and running quickly with Open Data Cube inside an Amazon Web Services Environment.
Command Line Interface¶
Open Data Cube Core includes a powerful command line interface for managing data. It can:
Query available data