CLARA (Cloud-Resilient Adaptive SAR Sensing System) is an innovative hybrid software and hardware solution designed to enhance real-time Earth observation under all-weather conditions. Developed as part of NASA’s Space-to-Soil Challenge, CLARA leverages onboard synthetic aperture radar (SAR) processing to overcome the limitations of traditional optical systems, particularly in cloud-prone regions. By relocating critical analytics such as change detection and anomaly identification directly onto SmallSat-class satellites, CLARA significantly reduces detection-to-alert latency from 24–72 hours to as little as 1–6 hours. The system integrates NASA-validated algorithms with edge-AI hardware to optimize data triage, reduce downlink volume, and improve responsiveness for applications such as deforestation monitoring, disaster response, and agricultural management. CLARA’s adaptive control loop enables autonomous decision-making in orbit, ensuring efficient data capture and transmission. Overall, CLARA represents a scalable, high-impact advancement in satellite-based land resilience monitoring and environmental intelligence.
Mykah Stone, Clay Green, and Jeffrey Adkisson