<strong>Rainfall-induced landslide susceptibility mapping using Frequency Ratio (FR) and Convolutional Neural Network (CNN): Case Studies in Davao de Oro and Albay, Philippines</strong>

Kevin Lariosa Garas

Presentation information

[E] Oral

U (Union ) » Union

[U-06] Satellites, Societies, and Sustainability

Thu. May 28, 2026 10:45 AM - 12:15 PM Exhibition Hall Special Setting (1) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Usman Muhammad(College of Natural and Health Sciences, Zayed University, UAE), Abe Takahiro(Field Science Education and Research Center, Kyoto University)

11:45 AM - 12:00 PM

[U06-10] Rainfall-induced landslide susceptibility mapping using Frequency Ratio (FR) and Convolutional Neural Network (CNN): Case Studies in Davao de Oro and Albay, Philippines

*Kevin Lariosa Garas¹, Brylle San Agustin¹, Lalaine Correa¹, Ace Matthew Cantillep¹, Alfred Louie Panganiban¹, Alejandro Felipe Gorospe¹, Julius Vincent Umali¹, Karlo Queaño¹, Saro Lee² (1. Mines and Geosciences Bureau - Philippines, 2. Korea Institute of Geoscience and Mineral Resources - South Korea)

Keywords:rainfall-induced landslide, Frequency Ratio, Convolutional Neural Network, Philippines