Evaluating model performance for spatial assessments of wildfire ignition risk: JHI-D5-2 D2.5a Report for SG/RESAS

Zisis Gagkas; Mohamed Jabloun; Adnan KHAN; Alessandro Gimona; Michael Rivington

doi:10.5281/zenodo.20344529

Evaluating model performance for spatial assessments of wildfire ignition risk: JHI-D5-2 D2.5a Report for SG/RESAS

Research output: Book/Report › Commissioned report

Abstract

The purpose of this report is to evaluate the performance of the Machine Learning (ML) model for spatial assessments of ignition risk by conducting a validation exercise based on a set of 70 independent historical fires

Original language	English
DOIs	https://doi.org/10.5281/zenodo.20344529
Publication status	Published - 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

Wildfire
Ignition risk
Risk assessment

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10.5281/zenodo.20344529Licence: CC BY

Cite this

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title = "Evaluating model performance for spatial assessments of wildfire ignition risk: JHI-D5-2 D2.5a Report for SG/RESAS",

abstract = "The purpose of this report is to evaluate the performance of the Machine Learning (ML) model for spatial assessments of ignition risk by conducting a validation exercise based on a set of 70 independent historical fires ",

keywords = "Wildfire, Ignition risk, Risk assessment",

author = "Zisis Gagkas and Mohamed Jabloun and Adnan KHAN and Alessandro Gimona and Michael Rivington",

year = "2026",

doi = "10.5281/zenodo.20344529",

language = "English",

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AU - Gagkas , Zisis

AU - Jabloun, Mohamed

AU - KHAN, Adnan

AU - Gimona, Alessandro

AU - Rivington, Michael

PY - 2026

Y1 - 2026

N2 - The purpose of this report is to evaluate the performance of the Machine Learning (ML) model for spatial assessments of ignition risk by conducting a validation exercise based on a set of 70 independent historical fires

AB - The purpose of this report is to evaluate the performance of the Machine Learning (ML) model for spatial assessments of ignition risk by conducting a validation exercise based on a set of 70 independent historical fires

KW - Wildfire

KW - Ignition risk

KW - Risk assessment

U2 - 10.5281/zenodo.20344529

DO - 10.5281/zenodo.20344529

M3 - Commissioned report

BT - Evaluating model performance for spatial assessments of wildfire ignition risk

ER -

Evaluating model performance for spatial assessments of wildfire ignition risk: JHI-D5-2 D2.5a Report for SG/RESAS

Abstract

UN SDGs

Keywords

Access to Document

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Cite this