v0.2.0

First Geodata-Harvester release

This release of the Geodata-Harvester package includes pip/conda ready installation packages and a range of example workflows for automatic data extraction from a wide range of geodata sources including support for Google Earth Engine data layers.

The following data sources are currently integrated:

• Soil and Landscape Grid of Australia (SLGA)
• SILO Climate Database (Australia)
• National Digital Elevation Model (DEM)
• Digital Earth Australia (DEA) Geoscience Earth Observations
• Radiometric Data (Australia)
• Google Earth Engine Data (account needed)

Core features currently supported in the Geodata-Harvester:

• automatic data retrieval from geospatial APIs for given locations and dates
• data experimentation frontends via Jupyter and R notebooks
• enables reusable workflows via YAML files to save/load settings.
• interactive Jupyter notebook widgets for selecting settings options
• automatic geospatial-temporal processing
• support for multiple temporal aggregation options
• automatic extraction of retrieved data into aligned maps and ready-made dataframes for ML
• preview of data map layers

Main contributors:
@sebhaan
@natbutter
@januarharianto