eeharvest 1.0.0

A simple harvester for Google Earth Engine

eeharvest

Simplify the download and processing of Google Earth Engine data by leveraging on available python packages into three (3) intuitive functions:

• preprocess(): server-side processing, cloud and shadow masking, image reduction and calculation of spectral indices
• map(): preview data rasters on an interactive map before downloading
• download(): download data collection, ready for client-side processing

Installation

On PyPi:

pip install eeharvest

Or use conda:

# conda install eeharvest - WORK IN PROGRESS

You may need to install the following packages manually:

• GDAL: to manipulate raster and vector geospatial data.
• gcloud CLI: needed to authenticate to Google servers.

In most cases, these can be installed through conda-forge:

conda install -c conda-forge gdal google-cloud-sdk

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

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).

Note

This project has been set up using PyScaffold 4.3.1 and the dsproject extension 0.7.2.