Volume Measurement in Pix4D Products: Overview and Algorithm Guide

Pix4D products support volume measurements using tailored algorithms that vary by product and input type.

This guide centralizes information on volume measurement methods across Pix4D products. It provides an overview of each product’s capabilities and links to relevant support resources, serving as a unified reference for support teams and customers.

IN THIS ARTICLE

Overview of Volume Computation Algorithms
Summary Table
Additional resources

PIX4Dcatch
PIX4Dcloud
PIX4Dmatic
PIX4Dsurvey
PIX4Dmapper

Overview of Volume Computation Algorithms

Pix4D employs two main types of algorithms for volume measurements:

3D Algorithm:
The 3D algorithm reconstructs object surfaces from a point cloud in full 3D, capturing intricate shapes and geometries. It is ideal for high-detail volume measurement of complex shapes such as trenches, cavities, overhangs, and other geometrically detailed structures.
2.5D Algorithm:
The 2.5D algorithm computes the volume between a chosen base surface and a 2.5D reconstructed surface from either the DSM or point cloud data. Although less detailed than 3D, this algorithm provides reliable results for more straightforward volumetric shapes.