About

There is an enormous amount of national/global space-time data that is free and accessible. Examples are the numerous satellite platforms, weather, soil landscape grid of Australia. Many have a temporal dimension so for any point in Australia you can extract a time series of remote sensing and weather data and soil and terrain site variables. In the case of time series covariates there are a number of post-processing steps that a user can undertake to extract meaning, e.g. temporal means, aggregating in time. All of the above is a non-trivial task and a workflow where a user could enter a point (s) and get a tidy data frame of data cube variables would be a step towards people understanding its value and being able to jumpstart their analysis. This project will contribute processing tools for finding, extracting and converting these key data layers.

Developed as part of the Agricultural Research Federation (AgReFed), Data-Harvester is an open-source software that allows users to jumpstart their analysis with a suitable set of spatial-temporal aligned raster maps and dataframes.

For more information about AgReFed and our shared mission, please see agrefed.org.au/

Attribution and Acknowledgments

This software was developed by the Sydney Informatics Hub, a core research facility of the University of Sydney, as part of the Data Harvesting project for the Agricultural Research Federation (AgReFed).

Acknowledgments are an important way for us to demonstrate the value we bring to your research. Your research outcomes are vital for ongoing funding of the Sydney Informatics Hub.

If you make use of this software for your research project, please include the following acknowledgment:

“This research was supported by the Sydney Informatics Hub, a Core Research Facility of the University of Sydney, and the Agricultural Research Federation (AgReFed).”

AgReFed is supported by the Australian Research Data Commons (ARDC) and the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS).