Machine Learning Model Doubles Accuracy of Global Landslide ‘Nowcasts’

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Machine Learning Model Doubles Accuracy of Global Landslide ‘Nowcasts’ _ NASA.pdf (2.06 MB)

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https://www.nasa.gov/feature/esnt/2021/machine-learning-model-doubles-accuracy-of-global-landslide-nowcasts

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http://hdl.handle.net/11603/26103

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Author/Creator

Author/Creator ORCID

Date

2021-06-10

Type of Work

articles
Text

Department

Program

Citation of Original Publication

“Machine Learning Model Doubles Accuracy of Global Landslide ‘Nowcasts’”, NASA’s Earth Science News Team, Greenbelt, MD (June 10, 2021). https://www.nasa.gov/feature/esnt/2021/machine-learning-model-doubles-accuracy-of-global-landslide-nowcasts

Rights

This is a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0

Subjects

 Thomas Stanley
Benefits to You
Earth, Goddard Space Flight Center
GPM (Global Precipitation Measurement)
Hazards
Jet Propulsion Laboratory
Land
SMAP (Soil Moisture Active Passive)

Abstract