Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
Abstract Forest fires have caused considerable losses to ecologies, societies, and economies worldwide. To minimize these losses and reduce forest fires, modeling and predicting the occurrence of forest fires are meaningful because they can support forest fire prevention and management. In recent ye...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2019-09-01
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| Series: | International Journal of Disaster Risk Science |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s13753-019-00233-1 |