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Tracking Landslide Hazards Around the World, Pixel by Pixel
Author(s) -
Aaron Sidder
Publication year - 2016
Publication title -
eos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2016eo060583
Subject(s) - landslide , pixel , tracking (education) , geology , remote sensing , computer vision , computer science , geography , artificial intelligence , cartography , seismology , psychology , pedagogy
Combining satellite precipitation measurements and remotely sensed environmental data, a new system aims to improve landslide awareness and preparedness in all corners of the globe.

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