Projects

With Alabama A&M University, we are identifying opportunities to apply new remote sensing concepts to improve groundwater measurements and models.  These models can inform decisions related to agriculture, land use, human health and wellness, and geopolitical stability.

We are developing a compact and encapsulated optical salinity sensor to enable more distributed and persistent monitoring of the ocean’s 3D structure.

We are developing a neural network using data derived from satellite measurements of temperature and humidity to improve drought monitoring and forecasting.

A constellation of small satellites is collecting rapidly refreshed weather data to advance studies of hurricane structure and intensity and improve forecasts.

A small, low-cost system that leverages long-length fibers embedded with electronics could provide persistent monitoring of the undersea environment.

We seek to innovate and accelerate solutions to address AI's carbon footprint and reduce data center energy usage.  

We are designing a satellite-based lidar system to categorize aerosols in the atmosphere.

We are creating proactive, integrated decision -support tools and services that empower frontline communities to prepare for climate impacts and minimize losses.  

 We are developing deep learning  models  to analyze tornadic precursors in order to enhance real-time tornado prediction.   

We are investigating the use of novel imaging technologies for detecting and quantifying methane emissions in the atmosphere.