Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning

Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning

Wind disturbances are significant phenomena in forest spatial structure and succession dynamics. They cause changes in biodiversity, impact on forest ecosystems at different spatial scales, and have a strong influence on economics and human beings. The reliable recognition and mapping of windthrow a...

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Bibliographic Details
Main Authors: Dmitry E. Kislov, Kirill A. Korznikov
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
convolutional neural network
deep learning
image segmentation
machine learning
forest disturbance
windthrow
Online Access:https://www.mdpi.com/2072-4292/12/7/1145

Internet

https://www.mdpi.com/2072-4292/12/7/1145

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