Machine learning-based forest burned area detection with various input variables: A case study of South Korea

• Main Authors: Lee, Changhui, Park, Seonyoung, Kim, Taeheon, Liu, Sicong, Md. Reba, Mohd. Nadzri, Oh, Jaehong, Han, Youkyung
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: GE Environmental Sciences
• Online Access: http://eprints.utm.my/id/eprint/100985/1/MohdNadzri2022_MachineLearningBasedForestBurnedArea.pdf; http://eprints.utm.my/id/eprint/100985/; http://dx.doi.org/10.3390/app121910077
• Institution: Universiti Teknologi Malaysia

Recently, an increase in wildfire incidents has caused significant damage from economical, humanitarian, and environmental perspectives. Wildfires have increased in severity, frequency, and duration because of climate change and rising global temperatures, resulting in the release of massive volumes...