Mapping Burn Extent of Large Wildland Fires from Satellite Imagery Using Machine Learning Trained from Localized Hyperspatial Imagery

Wildfires burn 4–10 million acres annually across the United States and wildland fire related damages and suppression costs have exceeded $13 billion for a single year. High-intensity wildfires contribute to post-fire erosion, degraded wildlife habitat, and loss of timber resources. Accurate and tem...

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Principais autores:	Dale Hamilton, Enoch Levandovsky, Nicholas Hamilton
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-12-01
Colecção:	Remote Sensing
Assuntos:	support vector machine fuzzy logic wildland fire extent wildland fire severity small unmanned aircraft systems landsat
Acesso em linha:	https://www.mdpi.com/2072-4292/12/24/4097
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