Modeling Seasonal Fire Probability in Thailand: A Machine Learning Approach Using Multiyear Remote Sensing Data

Abstract excerpt

Seasonal fires in northern Thailand are a persistent environmental and public health concern, yet existing fire probability mapping approaches in Thailand rely heavily on subjective multi-criteria analysis (MCA) methods and temporally static data aggregation methods. To address these limitations, we present a flexible, replicable, and operationally viable seasonal fire probability mapping methodology using a Rando...

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Identifiers and source

Literature Corpus work

f64f69bf-ec2e-5e67-b618-1a557f3fb7a3

DOI

10.20944/preprints202507.1903.v1