Classifying a Highly Polymorphic Tree Species across Landscapes Using Airborne Imaging Spectroscopy

Classifying a Highly Polymorphic Tree Species across Landscapes Using Airborne Imaging Spectroscopy

Vegetation classifications on large geographic scales are necessary to inform conservation decisions and monitor keystone, invasive, and endangered species. These classifications are often effectively achieved by applying models to imaging spectroscopy, a type of remote sensing data, but such undert...

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Bibliographic Details
Main Authors: Megan M. Seeley, Nicholas R. Vaughn, Brennon L. Shanks, Roberta E. Martin, Marcel König, Gregory P. Asner
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
imaging spectroscopy
<i>Metrosideros polymorpha</i>
species classification
support vector machine
SMA
Gaussian process classification
Online Access:https://www.mdpi.com/2072-4292/15/18/4365

Internet

https://www.mdpi.com/2072-4292/15/18/4365

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