AGOL Data Workflows

The purpose of this documentation is to explain how to create the environmental covariate layers that are stored in Natural State’s ArcGIS Online (AGOL) database. In most cases the process follows a three-step workflow:

  1. Extract remotely sensed data from Google Earth Engine (GEE) via the Python API
  2. Import layers into an ArcGIS file geodatabase for storage and processing
  3. Upload cleaned and annotated layers to AGOL. There are several instances where layers of interest are not part of the GEE data catalogue. In these cases a more customised approach is needed to extract and process the data (this will be explained a further on).

All code needed for these three steps can be found in this repo. A metadata table with the list of covariate layers is stored in the Data Science hub on Sharepoint. Note that it may be necessary to set all files on sharepoint/OneDrive to be stored locally.

In order to carry out the workflow is it recommended that you fork the repo and test all functionality. If you want to contribute to development of the workflow then clone the repo and contact Natural State admin to arrange the necessary permissions.

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