Deep learning tackles cloud detection

Multimedia · 09 December 2018

OSTI ID:1495681

Flynn, Donna ^[1]; Cromwell, Erol

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1. USDOE/OSTI

To better understand Earth systems, atmospheric scientists use cloud data collected by a remote sensing tool called lidar. These data are an important part of global forecasting, but analyzing lidar images by hand is time-consuming. Researchers at Pacific Northwest National Laboratory teamed up to see if a deep learning model could process lidar data better than current automatic detection techniques.

• Research Organization: PNNL (Pacific Northwest National Laboratory (PNNL), Richland, WA (United States))
• Sponsoring Organization: USDOE Office of Science (SC)
• OSTI ID: 1495681
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
97 MATHEMATICS AND COMPUTING
ALGORITHMS
CLIMATE
CLOUD DATA
DEEP LEARNING
LIDAR