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Characterization of Fault Activity and Seismic Hazards in Latin America
use of Convolutional Neural Networks (CNN) and high resolution satellite imagery
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CSS5-IRD
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POUSSE-BELTRAN, Léa
/
Characterization of Fault Activity and Seismic Hazards in Latin America
Competencies of
POUSSE-BELTRAN, Léa
,
PhD scientist
UMR ISTerre
Institute of Earth Sciences
 citations HAL
 citations ResearchGate
 Personal home page
 UMR ISTerre
 web-link SNO ISDEFORM
 web-link UNAM
 _get in touch
|
- SNO ISDeform: National Observation Service on Satellite Imaging of Earth Deformations
- UNAM: Universidad Nacional Autónoma de México
Below: competencies in black when any are unique to
L. Pousse-Beltran's profile in the current state of the database
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algorithmics
/
andean plateau
/
Andes
/
artificial neural network
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Colombia
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Convolutional Neural Network (CNN)
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extreme event
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geodesy
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geodynamics
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Geology
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geomatics
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Geomorphology
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geomorphometry
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Geophysics
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Geoscience
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GIS (Geogr. Inform. Sys.)
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machine - deep learning
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Mexico
/
multi-scale (spatial and temporal)
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natural hazard
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Paleoseismology
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Peru
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plate tectonics
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remote sensing
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remote sensing VHSR (Very High Spatial Resolution)
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risk (disaster)
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risk (seismic - telluric)
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satellite product
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SDG 04 (Sust. Devel. Goal - Education)
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SDG 11 (Sust. Devel. Goal - Cities)
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seismic fault
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seismic hazard
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synthetic-aperture radar (SAR)
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Theia (data services infrastr. land surfaces)
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training (fr: formation)
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UMR ISTerre (Inst. Earth. Sci.)
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Venezuela
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Navigation suggestion: Machine Learning for Surveillance, Understanding and Prediction of Natural Hazards
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CSS5 related headings : [
Concept
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Field Location
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Institution
] [
Method or approach
] [
Model
] [
Natural Item
] [
Natural Process
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Science or discipline
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SDG (Sust. Dev. Goal) Theme
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Technique
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Tool
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Last update : 2025-09-11
(id:
83
)
