In this fascinating conversation with Yosef Akhtman from Gamma Earth (https://gamma.earth), we explore the real-world challenges and groundbreaking solutions offered by super-resolution satellite imagery. Learn why current satellite imagery often falls short for farmers and how Gamma Earth's technology provides a powerful new tool for agricultural decision-making and precision farming.
99 pixels | an Earth Observation podcast by Stratolia
Chapters
03:00 The Genesis of Gamma Earth
08:13 The Importance of High-Resolution Data
13:37 Understanding the Controversy
19:01 Training Data Challenges
23:53 Cloud Mitigation and Calibration
29:10 Navigating the Earth Observation Landscape
34:16 Validating Models and True Color Measurement
38:06 The Startup Dilemma
43:44 Final Thoughts on the Industry
Takeaways
- Yosef has a technical background in remote sensing and earth observation.
- Gamma Earth focuses on providing high-quality satellite imagery for agricultural applications.
- There is a significant gap between high-resolution and low-resolution satellite imagery.
- Super resolution techniques aim to improve the quality of satellite images.
- Farmers struggle to relate to low-resolution imagery, impacting its adoption.
- Training data is often the bottleneck in developing effective models.
- The future of high-resolution satellite data lies in its practical applications.
- Calibration of satellite data is crucial for accurate analysis.
- Many startups fail to find economically viable applications for satellite data.
- The earth observation industry faces challenges in data availability and usability.
