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

The laser communications payload has delivered terabytes of data from a satellite to Earth at record-breaking rates that will transform future science missions.

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

Optical communications technologies decades in the making at Lincoln Laboratory were transferred to NASA for its first two-way laser relay communications system.

By compiling lightning data, satellite imagery, and numerical weather models, the GSWR provides radar-like analyses and forecasts over regions not observed by actual weather radars.

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

We compiled a massive open-source dataset to develop deep learning models capable of detecting and predicting tornadoes.

The Laboratory's long-term collaboration with NOAA and NASA on environmental monitoring satellites has led to revolutionized weather imagery and products and improved detection for space and solar phenomena.

New algorithms improve the resilience of satellite and RF systems to impacts from space weather.