Global lightning-ignited wildfires prediction and climate change projections based on explainable ma...
Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning models: Global Lightning-Ignited Wildfires Prediction and Climate Change Pr
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Wildfires pose a significant natural disaster risk to populations and contribute to accelerated climate change. As wildfires are also affected by climate change, extreme wildfires are becoming increasingly frequent. Although they occur less frequently globally than those sparked by human activities, lightning-ignited wildfires play a substantial ro...
Alternative Titles
Full title
Global lightning-ignited wildfires prediction and climate change projections based on explainable machine learning models: Global Lightning-Ignited Wildfires Prediction and Climate Change Pr
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_springer_journals_10_1038_s41598_025_92171_w
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_springer_journals_10_1038_s41598_025_92171_w
Other Identifiers
E-ISSN
2045-2322
DOI
10.1038/s41598-025-92171-w
