Machine learning to predict final fire size at the time of ignition
Shane Coffield; Casey Graff; Yang Chen; Padhraic Smyth; Efi Foufoula‐Georgiou; James T. Randerson · 2019 · International Journal of Wildland Fire
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Fires in boreal forests of Alaska are changing, threatening human health and ecosystems. Given expected increases in fire activity with climate warming, insight into the controls on fire size from the time of ignition is necessary. Such…
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Metadata source: OpenAlex · DOI 10.1071/wf19023