Multispectral Sensor Data Processing & Algorithm Development

The contract seeks the development and refinement of algorithms to process multispectral remote sensing data for the near real-time detection of dielectric fluid thicknesses on ocean surfaces under variable environmental conditions. This work requires advanced signal processing, machine learning, and sensor data interpretation techniques to accurately identify and quantify thin layers of fluid—potentially from spills or natural seeps—across dynamic marine environments with changing lighting, wave activity, and atmospheric interference. The algorithms must be robust, scalable, and optimized for timely output to support rapid response and environmental monitoring operations. This is a subcontract opportunity under NAICS code 541715, classified under the Department of the Interior’s Acquisition Management Division, with a response deadline of June 29, 2026. The work will involve close coordination with sensor systems and data streams from airborne or satellite platforms, demanding expertise in remote sensing, optical physics, and environmental data analytics. While no specific location for performance is detailed, success will depend on the ability to validate algorithms across diverse oceanic zones and operational scenarios. The goal is to deliver a reliable, automated system capable of detecting fluid thicknesses with high precision in near real time to support environmental stewardship and emergency response missions.