Predicting Daily Fire Intensity Across Australian Landscapes Using Satellite-Derived Data and Machine Learning

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Iqra Munir, Karin J Reinke, Mariela Soto‐Berelov, Simon Jones
DOI: 10.5281/zenodo.18657650
Cited by: 0

Abstract

This dataset contains satellite-derived fire radiative power and associated environmental predictors used to model daily fire intensity across Australian landscapes during the 2019–2020 fire season.

Fields of Study & Subjects

Fire effects on ecosystems Fire Detection and Safety Systems Fire dynamics and safety research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 February 2026
Language
EN
Document type
Dataset