SatLeo Labs develops a constellation of Low Earth Orbit MicroSats equipped with high-resolution thermal infrared sensors to capture near-real-time thermal imagery of the Earth's surface. This technology provides critical data for monitoring land surface temperature, which is essential for addressing challenges in agriculture, urban planning, defense, and climate change.
Funding
Funding not disclosed
Founders
Product
Problem
Existing methods for monitoring land surface temperature lack sufficient spatial and temporal resolution, hindering effective decision-making in critical sectors like agriculture, urban planning, defense, and climate change. The limitations of current thermal imagery technologies and their associated high costs restrict the availability of accurate and timely thermal data.
Solution
SatLeo Labs is developing a constellation of Low Earth Orbit MicroSats equipped with high-resolution thermal infrared sensors to capture near-real-time thermal imagery of the Earth's surface. This technology provides high-resolution thermal data with an ideal balance of spatial and temporal resolution. By integrating edge computing capabilities into their MicroSats, SatLeo Labs enables on-board data processing and analytics, reducing latency and accelerating response times. The resulting datasets are instrumental in driving meaningful insights across sectors such as agriculture, urban planning, defense, and climate change using cutting-edge AI/ML and advanced analytics.
Target Audience
SatLeo Labs serves governments, communities, and businesses in agriculture, urban planning, defense, and climate change sectors who require timely and accurate land surface temperature data.
Features
- Constellation of Low Earth Orbit MicroSats for continuous Earth observation
- High-resolution thermal infrared sensors capturing detailed land surface temperature data
- Near-real-time data acquisition for timely insights and decision-making
- Edge computing capabilities for on-board data processing and analytics
- AI/ML-powered analytics for predictive modeling and pattern recognition
- High spatial and temporal resolution for accurate thermal mapping