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One hundred fifty peer-reviewed studies from 2016 to 2026 were analyzed using a novel automation-assisted methodology. This dataset compiles the state-of-the-art in advanced remote sensing and intelligent monitoring for forest fire prevention. The review employed a custom Python script to search six databases, following PRISMA guidelines.
License is CC-BY-4.0. The 'last updated' date of 2026 suggests the dataset may be forward-dated or from a projected publication.