The Livestock Air Transport Safety Assessment (LATSA) software program estimates the generation of key physiological data such as heat, moisture, and carbon dioxide from livestock during transportation by aircraft. The LATSA software provides a tool for exporters to assist with planning for the safe transport of livestock by air to export standards.

The information used to predict heat, moisture and carbon dioxide production inside an aircraft hold is however based on theoretical data. Little real time data exists for the environments that are being modelled. The purpose of this project was to validate the predictions of the LATSA 2.0 software through the acquisition of real time data.