CSS provides fire detection support to the Atmospheric Science and Technology Applications team with NOAA’s National Environmental Satellite, Data, and Information Services. CSS Surface Characteristics Scientist serves on the Fire Emissions and Fire Detection teams, providing data manipulation, algorithm development, and performance evaluation for the system. This ensures fast and reliable satellite data to stakeholders, as well as researchers in the long-term. The CSS surface characteristics scientist will transition to Visible Infrared Imaging Radiometer Suite (VIIRS)-Based Next Generation Fire System data retrieval and validation for the U.S. Department of the Interior federal land fire cases. This system is an experimental satellite-based fire detection algorithm developed by the University of Wisconsin. It uses multi-band imaging capabilities to obtain high-resolution atmospheric imagery and generate a variety of applied products, one of which includes visible and infrared imaging for detecting fires, smoke, and atmospheric aerosols. CSS will be working on location accuracy of fire detection for the Next Generation Fire System.
See More CSS Insights
Monitoring Algal Blooms for Harmful Toxins
CSS employee owners support NOAA’s National Centers for Coastal Ocean Science (NCCOS) Harmful Algal Blooms (HAB) Sensor Development Team in their efforts to detect and monitor these harmful algal blooms in coastal waters where they are likely to occur. HAB monitoring is critical for detecting harmful toxins produced by some algae. When present in over…
Safety Support To First Responders
First responders put their lives on the line to help others, and our team helps safeguard their protection. Our team on contract with the National Institutes of Health (NIH) Respiratory Protection Program works with staff to test respirators and establish secure fits. Similarly, they provide these fit tests for fire department personnel on a regular…
Advancing Severe Weather Predictions with Artificial Intelligence
As artificial intelligence (AI) and machine learning (ML) technologies evolve in Earth sciences, CSS employee owners (formerly Riverside staff) are growing our expertise in this field. CSS employee owners are advancing technologies for our client, NOAA’s Center for Satellite Applications and Research (STAR). Our staff have developed a framework, exploiting modern AI/ML techniques, to rapidly…