“Calibration is the poor step-child of remote sensing designs” - Ellis FreedmanWelcome back to the second part of our conversation with Ellis Freedman, the founder of Serious Science. In the previous episode, Ellis talked about the differences between big space missions and smaller newspace ones. Today, we're diving into thermal mission design.We'll cover essential topics like challenges in satellite bus design for thermal payloads, calibrating IR sensors, and understanding the hardware behind IR imaging systems. Ellis emphasizes the significance of fundamental radiometry knowledge for users of thermal data, elaborating on several key concepts, and delves into the skills required to work with thermal data. And lastly, he discusses the impact of AI and ML on thermal data processing and shares his predictions for the future of thermal remote sensing.

Intro

Challenges in mission design for thermal satellites

Calibration of IR sensors

Hardware components of IR imaging systems

Radiometry knowledge required for thermal data users

Skills needed to work with thermal data

Radiometric processing in TIR vs Visible

Impact of AI and ML on thermal data processing

Future evolution of thermal remote sensing

The End