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Fire danger assessment with remote sensing: a case study in Northern China

Author

Listed:
  • Litao Wang
  • Yi Zhou
  • Weiqi Zhou
  • Shixing Wang

Abstract

Every year several million hectares of forest and grassland in China are affected by wildfires. The majority of wildfires occur in the northern part of China, where grasslands and forests are ubiquitous. A critical step toward the protection of life, property, and natural resources from wildfires is the development of a fire danger rating system. This paper presents a new method to assess fire danger that capitalizes on the abundance of environmental data available via remote sensing and applies this new method to the northern part of China. Using an analytical hierarchy process, a fire danger index was developed based on five environmental factors that are known to affect fire frequency and severity, including land surface temperature, vegetation curing, equivalent water thickness, vegetation continuity degree, and fuel weight. Data for these five factors were derived from satellite imagery, instead of point data, allowing for predictions to be made over a large geographic area. Fire danger ratings were then mapped for the region based on the fire danger index. In addition, the accuracy of the fire danger index was evaluated by statistical analyses. The fire danger index was significantly correlated with air temperature and precipitation, suggesting that changes in these two environmental variables will affect the predictions of the index. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Litao Wang & Yi Zhou & Weiqi Zhou & Shixing Wang, 2013. "Fire danger assessment with remote sensing: a case study in Northern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 819-834, January.
  • Handle: RePEc:spr:nathaz:v:65:y:2013:i:1:p:819-834
    DOI: 10.1007/s11069-012-0391-2
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    Citations

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    Cited by:

    1. Jinghu Pan & Weiguo Wang & Junfeng Li, 2016. "Building probabilistic models of fire occurrence and fire risk zoning using logistic regression in Shanxi Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1879-1899, April.
    2. Xiaowei Li & Gang Zhao & Xiubo Yu & Qiang Yu, 2014. "A comparison of forest fire indices for predicting fire risk in contrasting climates in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1339-1356, January.
    3. Wenliang Liu & Litao Wang & Yi Zhou & Shixin Wang & Jinfeng Zhu & Futao Wang, 2016. "A comparison of forest fire burned area indices based on HJ satellite data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 971-980, March.
    4. Wenliang Liu & Litao Wang & Yi Zhou & Shixin Wang & Jinfeng Zhu & Futao Wang, 2016. "A comparison of forest fire burned area indices based on HJ satellite data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 971-980, March.
    5. Wenliang Liu & Shixin Wang & Yi Zhou & Litao Wang & Jinfeng Zhu & Futao Wang, 2016. "Lightning-caused forest fire risk rating assessment based on case-based reasoning: a case study in DaXingAn Mountains of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 347-363, March.
    6. Wenliang Liu & Shixin Wang & Yi Zhou & Litao Wang & Jinfeng Zhu & Futao Wang, 2016. "Lightning-caused forest fire risk rating assessment based on case-based reasoning: a case study in DaXingAn Mountains of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 347-363, March.
    7. Ehsan Chowdhury & Quazi Hassan, 2013. "Use of remote sensing-derived variables in developing a forest fire danger forecasting system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 321-334, June.
    8. Wenliang Liu & Shixin Wang & Yi Zhou & Litao Wang, 2014. "An android intelligent mobile terminal application: field data survey system for forest fires," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1483-1497, September.
    9. Xu Jia & Yong Gao & Baocheng Wei & Shan Wang & Guodong Tang & Zhonghua Zhao, 2019. "Risk Assessment and Regionalization of Fire Disaster Based on Analytic Hierarchy Process and MODIS Data: A Case Study of Inner Mongolia, China," Sustainability, MDPI, vol. 11(22), pages 1-17, November.

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