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Estimating dead fine fuel moisture content of forest surface, based on wireless sensor network and back-propagation neural network

Wei-Dong Lei https://orcid.org/0000-0003-3248-3740 A B , Ying Yu A , Xing-Hui Li A and Jian Xing A *
+ Author Affiliations
- Author Affiliations

A Department of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang Province 150040, PR China.

B National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China.

* Correspondence to: xj@nefu.edu.cn

International Journal of Wildland Fire 31(4) 369-378 https://doi.org/10.1071/WF21066
Submitted: 8 July 2020  Accepted: 13 February 2022   Published: 18 March 2022



5 articles found in Crossref database.

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A comparison of five models in predicting surface dead fine fuel moisture content of typical forests in Northeast China
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