The NASA Geostationary Littoral Imaging and Monitoring Radiometer (GLIMR) requires advanced processing techniques.

Joseph Salisbury II, University of New Hampshire, Durham, NH, United States and Antonio Mannino, NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Greenbelt, MD, United States
Abstract:
GLIMR is hyperspectral radiometer that will be launched in geostationary orbit to study coastal ecosystems that are under pressure from population growth and changing climate. Our primary science centers on two questions: 1) How do physical processes that vary at timescales from hours to days impact the rates and fluxes of materials within and between aquatic coastal ecosystems? and 2) How do fluxes and rates within and between aquatic coastal ecosystems affect the formation, magnitude and trajectory of harmful algal blooms (HABS) and impact ecosystem and human health? To help address these questions, GLIMR will collect 141 bands of data in the visible to near infra-red (350-1020nm) with ~hourly coverage in our primary region of interest, the Gulf of Mexico. This high-density 4-dimensional data stream, (U, V, time, hyperspectral) will require creative new combinations of in-water data and advanced numerical methodologies in order to maximize the science value. This includes advanced near real-time processing, especially autonomous (on-the-ground) capabilities for cloud cover prediction, tracking of hazards (HABs, volcanic eruptions, oil spills, etc.) and identification areas of rapid change for targeted high frequency imaging. We will present an overview of the science, instrument capabilities and data processing, and also query session participants for their ideas on how advanced in-water assets and processing solutions could benefit the GLIMR mission.