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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Dale A. Hamilton, Kamden L. Brothers, Samuel D. Jones, Jason Colwell, Jacob Winters
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-01-01
coleção:	Remote Sensing
Assuntos:	mask region-based convolutional neural network small unmanned aircraft system canopy cover tree mortality
Acesso em linha:	https://www.mdpi.com/2072-4292/13/2/290
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!