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Machine Learning for Big Data Analytics in Development of Wildfire Prediction Models
Chanjung Lee, Mooyoung Lim, Yohan Lee
J. Korean Soc. Hazard Mitig. 2023;23(2):29-39. Published online 2023 Apr 27 DOI: https://doi.org/10.9798/KOSHAM.2023.23.2.29
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Citations to this article as recorded by
Can Ensemble Techniques and Large-Scale Fire Datasets Improve Predictions of Forest Fire Probability Due to Climate Change?—A Case Study from the Republic of Korea
Hyeon Kwon Ahn, Huicheul Jung, Chul-Hee Lim
Forests.2024; 15(3): 503. CrossRef A Forest Fire Prediction Model Based on Meteorological Factors and the Multi-Model Ensemble Method
Seungcheol Choi, Minwoo Son, Changgyun Kim, Byungsik Kim
Forests.2024; 15(11): 1981. CrossRef Assessing Wildfire Risk in South Korea Under Climate Change Using the Maximum Entropy Model and Shared Socioeconomic Pathway Scenarios
Jukyeong Choi, Heemun Chae
Atmosphere.2024; 16(1): 5. CrossRef
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