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A map of the United States with areas colored on a scale from yellow to dark red, indicating drought severity.
Climate modeling / impact prediction / adaptation

Artificial Intelligence–Based Drought Prediction

We are developing a neural network using data derived from satellite measurements of temperature and humidity to improve drought monitoring and forecasting.
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This image shows Mexico Beach, FL, after it sustained damage from Hurricane Michael in 2018. It was taken through NOAA’s Emergency Remote Sensing program. Satellites could provide similar information after more incidents. (Image courtesy of NOAA.)
disaster relief

DisasterSat

Dedicated satellite imaging could help coordinate emergency response to disasters.
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A photo of an interferometer on a lab bench. A staff member is adjusting a part of it.
Climate Observation

Methane Detection Study  

We are investigating the use of novel imaging technologies for detecting and quantifying methane emissions in the atmosphere.
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three people stand on a big dirt pile, outside, with blue sky in the background. One researcher is holding a laptop, which another looks at. The third person is holding a remote, controlling a robotic vehicle also on the dirt pile.
disaster relief

Motion Under Rubble Measured Using Radar

Our see-through-wall sensor is a lightweight, portable technology that peers through rubble and debris of a disaster site to detect survivors.
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