Improving GIS-Based Landslide Susceptibility Assessments with Multi-temporal Remote Sensing and Machine Learning

This study developed a systematic approach with machine learning (ML) to apply the satellite remote sensing images, geographic information system (GIS) datasets, and spatial analysis for multi-temporal and event-based landslide susceptibility assessments at a regional scale. Random forests (RF) algo...

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Detalles Bibliográficos
Autores principales: Lai, Jhe-Syuan, Tsai, Fuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749503/
https://www.ncbi.nlm.nih.gov/pubmed/31461983
http://dx.doi.org/10.3390/s19173717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749503/
https://www.ncbi.nlm.nih.gov/pubmed/31461983
http://dx.doi.org/10.3390/s19173717

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