Articles citing this paper
Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability
Xingwen Quan
A B * , Miao Jiao A , Zhili He C , Abolfazl Jaafari D , Qian Xie A and Xiaoying Lai A
+ Author Affiliations
- Author Affiliations
A School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China.
B Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313001, China.
C Glasgow College, University of Electronic Science and Technology of China, Chengdu 611731, China.
D Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran1 496813111, Iran.
* Correspondence to: xingwen.quan@uestc.edu.cn
International Journal of Wildland Fire 32(4) 561-575 https://doi.org/10.1071/WF21149
Submitted: 26 October 2021 Accepted: 14 January 2023 Published: 14 February 2023
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