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Mapping Forest Burn Extent from Hyperspatial Imagery Using Machine Learning

Support vector machines are shown to be highly effective in mapping burn extent from hyperspatial imagery in grasslands. Unfortunately, this pixel-based method is hampered in forested environments that have experienced low-intensity fires because unburned tree crowns obstruct the view of the surface...

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Uloženo v:
Hlavní autoři: Dale Hamilton, Kamden Brothers, Cole McCall, Bryn Gautier, Tyler Shea
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2021-09-01
Edice:Remote Sensing
Témata:
mask region-based convolutional neural network
support vector machine
small unmanned aircraft system
wildland fire burn extent
hyperspatial imagery
On-line přístup:https://www.mdpi.com/2072-4292/13/19/3843
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