<strong><em>Modelling Fire-Prone Urban Areas Using Material-Sensitive Indicators and Multi-Scenario Random Forest with Very High-Resolution Satellite Imagery</em></strong>

Faris Ade Irawan

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI38] Earth and planetary informatics and data utilization

Fri. May 29, 2026 9:00 AM - 10:30 AM 301A (International Conference Hall, Makuhari Messe)

Chairperson:Nonogaki Susumu(Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology), Fukazawa Keiichiro(Research Institute for Humanity and Nature), Murata Ken T.(National Institute of Information and Communications Technology), Kido Yukari(Japan Agency for Marine-Earth Science and Technology)

10:00 AM - 10:15 AM

[MGI38-05] Modelling Fire-Prone Urban Areas Using Material-Sensitive Indicators and Multi-Scenario Random Forest with Very High-Resolution Satellite Imagery

*Faris Ade Irawan^1,2, Projo Danoedoro¹, Nur Mohammad Farda¹ (1. Faculty of Geography, Universitas Gadjah Mada, 2. Geomatics and Survey Engineering Technology, Department of Civil and Earth Engineering, State Polytechnic Banjarmasin, Indonesia)

Keywords:Urban fire vulnerability, Material-sensitive indicators, NDIOI, Random Forest