Forest Fire Risk Prediction in South Korea Using Google Earth Engine: Comparison of Machine Learning Models
Forest fires pose significant threats to ecosystems, economies, and human lives. However, existing forest fire risk assessments are over-reliant on field data and expert-derived indices. Here, we assessed the nationwide forest fire risk in South Korea using a dataset of 2289 and 4578 fire and non-fi...
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| Main Authors: | Jukyeong Choi, Youngjo Yun, Heemun Chae |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Land |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-445X/14/6/1155 |
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