A Comparison of WorldView-2 and Landsat 8 Images for the Classification of Forests Affected by Bark Beetle Outbreaks Using a Support Vector Machine and a Neural Network: A Case Study in the Sumava Mountains

A Comparison of WorldView-2 and Landsat 8 Images for the Classification of Forests Affected by Bark Beetle Outbreaks Using a Support Vector Machine and a Neural Network: A Case Study in the Sumava Mountains

The objective of this paper is to assess WorldView-2 (WV2) and Landsat OLI (L8) images in the detection of bark beetle outbreaks in the Sumava National Park. WV2 and L8 images were used for the classification of forests infected by bark beetle outbreaks using a Support Vector Machine (SVM) and a Neu...

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Bibliographic Details
Main Authors: Premysl Stych, Barbora Jerabkova, Josef Lastovicka, Martin Riedl, Daniel Paluba
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Geosciences
Subjects:
neural network
support vector machine
Landsat 8
WorldView-2
Czechia
forest disturbances
Online Access:https://www.mdpi.com/2076-3263/9/9/396

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