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3D Python
3D Python Workflows for LiDAR City Models: A Step-by-Step Guide
The Ultimate Guide to unlocking a streamlined workflow for 3D City Modelling Applications. The tutorial covers Python Automation combining 3D Point Clouds, Meshes, and Voxels for advanced analysis.
Did you stumble upon the term Smart City before? or Smart Something? Well, we touch on the subject! Think of a Smart City as a baker on steroids 🥐: it knows what you need before you even ask for it and will provide you with the most straightforward advice to make a delicious choice. No, this Smart City Metaphor is not all I have for you today. Indeed, to get to this level of “Smart”, we first have to get to the base layer: 3D City Models.
If you ever wanted to create stunning 3D City Models but found the workflow daunting and complex, this is where I come in! This article explores how Python and open-source software can define a powerful 3D workflow to kickstart your 3D City Modelling journey. Say (almost) goodbye to tedious manual processes and hello to efficient, dynamic, and eye-catching creations!
We dive into a four-step strategy that describes Environment setup, 3D Data Curation & Preparation, and 3D Geometry Processing to extract critical insights such as the built coverage of your neighborhood using point cloud data, meshes, voxels, and some…
