Greenbelt, MD – January 2026
GAMA-1 Technologies is proud to announce that Forrest Wrenn coauthored by Letitia Soulliard will present collaborative research at the 2026 Annual Meeting of the American Meteorological Society (AMS) in Houston, Texas. Their work will be featured in a joint session focused on the rapidly expanding role of artificial intelligence in satellite observations and environmental science.
Session: J8B.1 – A Novel Statistical Method for the Automated Detection of Geolocation Errors in Satellite Radiance Data, Developed with AI-Powered Collaboration for the GCOM-W1 AMSR2 Algorithm Software Package (GAASP)
Date: Tuesday, January 27, 2026
Time: 4:30 PM – 4:45 PM (CT)
Location: Room 322A, George R. Brown Convention Center
This presentation is part of Joint Session J8B, held in collaboration with the 25th Conference on Artificial Intelligence for Environmental Science and the 27th Conference on Satellite Meteorology, Oceanography, and Climatology.
Improving Satellite Data Quality Through AI-Assisted Innovation
A persistent challenge in operational satellite data processing is the automated detection of subtle geolocation errors, issues that often evade standard quality control checks but can significantly degrade downstream products. Wrenn and Soulliard will present a novel statistical solution developed for the GAASP preprocessor that reliably flags misaligned satellite pixels, where brightness temperature fields do not correctly align with land-ocean masks.
Previous approaches relying on simple temperature thresholds frequently failed under real-world conditions, particularly in the presence of clouds, sun glint, or complex surface features. To overcome these limitations, the team took an innovative approach: leveraging Google Gemini as an AI-powered collaborative partner during development.
Reframing the Problem with AI-Powered Collaboration
Through iterative interaction with Gemini, the team reframed the challenge from a difficult image-registration problem into a statistical contamination analysis. The resulting algorithm detects geolocation errors using two robust indicators:
- A sharp increase in temperature standard deviation within land-masked pixels
- An elevated mean temperature within ocean-masked pixels
This method successfully bypasses confounding effects that undermined earlier techniques, delivering a more reliable and operationally resilient diagnostic tool for satellite radiance data.
Beyond the algorithm itself, the presentation highlights a powerful takeaway for the broader community: AI can serve not only as an automation tool, but as an effective collaborator in diagnosing complex scientific and software challenges, enabling faster pivots and more innovative solutions.
Advancing Operational Satellite Integrity
National Environmental Satellite, Data, and Information Service (NESDIS) relies on high-quality satellite observations to support weather forecasting, climate monitoring, and environmental intelligence. The work presented by Soulliard and Wrenn provides a critical enhancement to quality control processes, strengthening confidence in satellite-derived products that ultimately serve public safety, economic resilience, and environmental stewardship.
GAMA-1 Technologies is honored to support this forward-leaning research and the professionals advancing the intersection of artificial intelligence, satellite science, and operational excellence. We invite AMS attendees and the broader scientific community to attend this session and engage in the discussion on how AI-enabled collaboration is reshaping the future of satellite observations.
For more information about GAMA-1 Technologies and our capabilities, please visit www.gama1tech.com.
About GAMA-1 Technologies – Mission-Ready for Government Transformation
GAMA-1 Technologies is mission-driven, empowering federal agencies to deliver smarter services through secure cloud modernization, AI-driven automation, and adaptive cybersecurity and compliance. We specialize in enabling decision support mission critical data to benefit humanity, leveraging innovation to streamline government and accelerate outcomes that matter.
With deep roots in environmental observation infrastructure and data modernization, we help agencies like NOAA, NASA, and others transform legacy systems, unify mission data, and embrace digital-first operations. Our solutions are engineered for public good, driving efficiency, reducing costs, and amplifying mission success.
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Stan Coachman, Contracts Manager – 301-982-4262, [email protected]
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