Spatialised

In 2020 I wrote about terrain analysis related to avalanche risk factors in the snowy regions of New South Wales, Australia.

In the last few years we’ve seen a huge increase in the prevalence of class of computational tools labelled as “AI” – or Artificial Intelligence.

This is a story about data principles – specifically one component of the FAIR (Findable, Accessible, Interoperable, Reusable) data principles.

I’ve been working around sea ice for close to two decades on and off – and have had the privilege of being up close and personal with floating chunks of frozen ocean in both the Arctic and Antarctic.

This demonstrates a method for counting trees using a backpackable mini drone, and a completely open source workflow.

A quick update – the Spatialised online store is back!

Part 1 of this series looked at how to fly drones and collect imagery for mapping over a small property.

This is the first sequel to Mapping a small farm part 1.

This story calls back a long way to my mapping roots.

Sometimes we don’t need to create full blown orthophotos and 3D models to understand things.

Tools used: QGIS 3.34.3 Prizren; Inkscape 1.2, a web browser Most of this is reasonably standard ‘get data, make maps’ – you can flick straight to cartographic magic for the un-standard parts if you want!