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An analysis environment for satellite and other earth observation data

Project description

Australian Geoscience Data Cube v2

Build Status Coverage Status Documentation Status

Overview

The Australian Geoscience Data Cube provides an integrated gridded data analysis environment for decades of analysis ready earth observation satellite and related data from multiple satellite and other acquisition systems.

In 2014, Geoscience Australia, CSIRO and the NCI established the Australian Geoscience Data Cube, building on earlier work of Geoscience Australia and expanding it to include additional earth observation satellite and other gridded data collections (e.g. MODIS, DEM) in order to expand the range of integrated data analysis capabilities that were available. The complete software stack and petabytes of EO are deployed at the NCI petascale computing facility for use by NCI users.

The current AGDC v2 implementation is intended as a working prototype for a cohesive, sustainable framework for large-scale multidimensional data management for geoscientific data. This public development release is intended to foster broader collaboration on the design and implementation. It is not intended for operational use.

Documentation

See the user guide for installation & usage of the datacube, and for documentation of the API.

Requirements

System

  • PostgreSQL 9.5+

  • Python 2.7+ or Python 3.5+

Developer setup

  1. Clone:

    • git clone https://github.com/data-cube/agdc-v2.git

  2. Install the native libraries for GDAL & NetCDF4.

    • This depends on your OS.

    • Eg. yum install gdal

  3. Install Python dependencies:

    python setup.py develop

    Note that the versions must match between GDAL’s Python bindings and the native GDAL library. If you receive a gdal error when installing dependencies, you may need to install a specific version first:

    eg. pip install gdal==2.0.1

  4. Run unit tests + PyLint

    ./check-code.sh

    (this script approximates what is run by Travis. You can alternatively run py.test yourself)

  5. (or) Run all tests, including integration tests.

./check-code.sh integration_tests

  • Assumes a password-less Postgres database running on localhost called agdcintegration

    • Otherwise copy integration_tests/agdcintegration.conf to ~/.datacube_integration.conf and edit to customise.

Project details


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