UAV Multispectral Imagery Predicts Dead Fuel Moisture Content

UAV Multispectral Imagery Predicts Dead Fuel Moisture Content

Forest floor dead fuel moisture content (DFMC) is an important factor in the occurrence of forest fires, and predicting DFMC is important for accurate fire risk forecasting. Large areas of forest surface DFMC are difficult to predict via manual methods. In this paper, we propose an unmanned aerial v...

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Bibliographic Details
Main Authors: Jian Xing, Chaoyong Wang, Ying Liu, Zibo Chao, Jiabo Guo, Haitao Wang, Xinfang Chang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Forests
Subjects:
unmanned aerial vehicle multispectral
forest surface dead fuel moisture content
image segmentation
deep learning
Online Access:https://www.mdpi.com/1999-4907/14/9/1724

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