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Thermal Lens: Calibration is the poor step-child of remote sensing designs
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“Calibration is the poor step-child of remote sensing designs” - Ellis Freedman
Welcome 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.
- (00:00) - Intro
- (01:28) - Challenges in mission design for thermal satellites
- (10:42) - Calibration of IR sensors
- (14:18) - Hardware components of IR imaging systems
- (18:29) - Radiometry knowledge required for thermal data users
- (22:02) - Skills needed to work with thermal data
- (25:24) - Radiometric processing in TIR vs Visible
- (26:45) - Impact of AI and ML on thermal data processing
- (30:40) - Future evolution of thermal remote sensing
- (34:57) - The End
44 episodes
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on May 29, 2024 15:38 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 381234354 series 2839242
“Calibration is the poor step-child of remote sensing designs” - Ellis Freedman
Welcome 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.
- (00:00) - Intro
- (01:28) - Challenges in mission design for thermal satellites
- (10:42) - Calibration of IR sensors
- (14:18) - Hardware components of IR imaging systems
- (18:29) - Radiometry knowledge required for thermal data users
- (22:02) - Skills needed to work with thermal data
- (25:24) - Radiometric processing in TIR vs Visible
- (26:45) - Impact of AI and ML on thermal data processing
- (30:40) - Future evolution of thermal remote sensing
- (34:57) - The End
44 episodes
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