Helpful Resources
Helpful Resources for working with satellite imagery
NationalMap.gov.au
This is a brilliant resource for viewing a diverse group of datasets, many of which will be useful for your project. Most notable is the ability for you to add your own “layers” to the map by uploading your own GeoJSON files. This is very useful to help verify that files you generate map back to the positions that they are supposed to.
Copernicus SARA
https://copernicus.nci.org.au/sara.client/#/explore?collection=S1
The Sentinel Australasia Regional Access portal provides access to the raw Sentinel satellite data. As your techniques progress, you will want to process the raw satellite data on your own. Scripts will be released to assist you with this, but you will need to register (free) with SARA to get API access. It typically only takes an hour or two for you to be provided with access. Please note that the raw data is in JPG2 format, which will require downstream processing.
GeoJSON
https://en.wikipedia.org/wiki/GeoJSON
GeoJSON is an open standard format designed for representing simple geographical features, along with their non-spatial attributes. It is based on JSON, the JavaScript Object Notation.
The features include points (therefore addresses and locations), line strings (therefore streets, highways and boundaries), polygons (countries, provinces, tracts of land), and multi-part collections of these types. GeoJSON features need not represent entities of the physical world only; mobile routing and navigation apps, for example, might describe their service coverage using GeoJSON.
The GeoJSON format differs from other GIS standards in that it was written and is maintained not by a formal standards organisation, but by an Internet working group of developers.
A notable offspring of GeoJSON is TopoJSON, an extension of GeoJSON that encodes geospatial topology and that typically provides smaller file sizes.
Sentinel 2A Band Information
The Senintel 2A satellite captures images across a number of different wavelengths, enabling different kinds of analysis. For example, Bands 9–10 are designed to detect clouds which enables you to better understand correct for cloud cover.
Weekly Crush Statistics (Australia)
Statistics for the weekly amount of Sugarcane harvested and processed by Australian sugar mills
Weekly Crush Statistics (Proserpine)
Wilmar Sugar Mills produces weekly production reports for its various mills. If you are building a harvest / yield model for the Proserpine area, this may provide you with a dataset to train your models.
