Making Sense of Big Data

Assessing fire extent and fire severity with analysis ready Sentinel-2 data in the Open Data Cube python environment.

Differenced normalised burn ratio (dNBR). Contains modified Copernicus data (2020) processed by Digital Earth Australia. ©Copernicus data (2020).


Hands-on Tutorials

Local and urban scale collection, processing and mapping is now accessible to everyone, including you

Photo by Diana Măceşanu on Unsplash


Assessing the accuracy of fire severity and extent classifications using Python 3, GeoPandas and ‘normal’ Pandas with data derived from Planet and analysis ready data from Sentinel-2 through the Open Data Cube.

Amos J Bennett

Spatial science with a background in civil engineering, remote sensing and GIS. Python fanatic.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store