Automatic Detection of <i>Phytophthora pluvialis</i> Outbreaks in Radiata Pine Plantations Using Multi-Scene, Multi-Temporal Satellite Imagery

Automatic Detection of <i>Phytophthora pluvialis</i> Outbreaks in Radiata Pine Plantations Using Multi-Scene, Multi-Temporal Satellite Imagery

This study demonstrates a framework for using high-resolution satellite imagery to automatically map and monitor outbreaks of red needle cast (<i>Phytophthora pluvialis</i>) in planted pine forests. This methodology was tested on five WorldView satellite scenes collected over two sites i...

Full description

Bibliographic Details
Main Authors: Nicolò Camarretta, Grant D. Pearse, Benjamin S. C. Steer, Emily McLay, Stuart Fraser, Michael S. Watt
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
random forest
WorldView
forest disease
forest decline
forest monitoring
machine learning
Online Access:https://www.mdpi.com/2072-4292/16/2/338

Internet

https://www.mdpi.com/2072-4292/16/2/338

Similar Items