AI and machine learning tools can combine historical climate records, current observations, satellite imagery and sensor data to assess and forecast drought
“Drought is becoming harder to manage because conditions can change quickly across farms, watersheds and regions,” Sarwar said. “Our chapter shows how artificial intelligence can help connect satellite observations, field sensors, climate data and physical water processes so decision-makers have earlier and more reliable information. The goal is not to replace human expertise, but to strengthen it with tools that are better suited for a changing climate.”
Team: project scientist Abid Sarwar, postdoctoral scholar Rui Gao and professors Safeeq Khan, John Abatzoglou, Josué Medellín-Azuara and Joshua Viers,
Researchers are working on ways to better identify, predict and manage drought.
