Wildland Fire Tree Mortality Mapping from Hyperspatial Imagery Using Machine Learning

Wildland Fire Tree Mortality Mapping from Hyperspatial Imagery Using Machine Learning

The use of imagery from small unmanned aircraft systems (sUAS) has enabled the production of more accurate data about the effects of wildland fire, enabling land managers to make more informed decisions. The ability to detect trees in hyperspatial imagery enables the calculation of canopy cover. A c...

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Bibliographic Details
Main Authors: Dale A. Hamilton, Kamden L. Brothers, Samuel D. Jones, Jason Colwell, Jacob Winters
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
mask region-based convolutional neural network
small unmanned aircraft system
canopy cover
tree mortality
Online Access:https://www.mdpi.com/2072-4292/13/2/290

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