Skip to main content
SpringerLink
Log in

Mapping forest fire risk zones with spatial data and principal component analysis

  • Published:
Science in China Series E: Technological Sciences Aims and scope Submit manuscript

Abstract

By integrating forest inventory data with remotely sensed data, new data layers for factors that affect forest fire potentials were generated for Baihe Forestry Bureau in Jilin Province of China. The principle component analysis was used to sort out the relationships between forest fire potentials and environmental factors. The classifications of these factors were performed with GIS, generating three maps: a fuel-based fire risk map, a topography-based fire risk map, and an anthropogenic-factor fire risk map. These three maps were then synthesized to generate the final fire risk map. The linear regression method was used to analyze the relationship between an area-weighted value of forest fire risks and the frequency of historical forest fires at each forest farm. The results showed that the most important factor contributing to forest fire ignition was topography, followed by anthropogenic factors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Johnson E A, Gutsell S L. Fire frequency models, methods and interpretations. Adv Ecol Res, 1994, 25: 239–287

    Article  Google Scholar 

  2. Jaiswal R K, Mukherjee S, Raju D K, et al. Forest fire risk zone mapping from satellite imagery and GIS. Int J Applied Earth Observation & Geoinformation, 2002, 4(1): 1–10

    Article  Google Scholar 

  3. Murdiyarso D, Widodo M, Suyamto D. Fire risks in forest carbon projects in Indonesia. Sci China Ser C-Life Sci, 2002, 45(Suppl. 1): 65–74

    Google Scholar 

  4. Chuvieco E, Congalton R G. Application of remote sensing and geographic information systems to forest fire hazard mapping. Remote Sens Environ, 1989, 29(2): 147–159

    Article  Google Scholar 

  5. Chuvieco E, Salas J. Mapping the spatial distribution of forest fire danger using GIS. Int J Geogr Inf Sci, 1996, 10(3): 333–345

    Article  Google Scholar 

  6. Tang J L, Zhang X L. Study on the division of forest fire danger in the forestry Bureau by using remote sensing and geographical information system. J Beijing Forestry Univ (in Chinese), 1996, 18(1): 13–21

    Google Scholar 

  7. Wang Z F. Forest Meteorology, 1st ed. (in Chinese). Beijing: China Forestry Publishing House, 1985. 16–21

    Google Scholar 

  8. Zheng H N, Yao S R. Forest fire risk zone in China. Forest Fire Prevention (in Chinese), 1993, (1): 14–16

  9. Hu Z D, Forest Fire Prevention (in Chinese), 1st ed. Beijing: China Forestry Publishing House, 2003. 59–61

    Google Scholar 

  10. Zhang G, Liu F, Yang Z G, et al. Study of Guangzhou’s forest fire hazardous areas based on RS and GIS. J Central South Forestry Univ (in Chinese), 2003, 23(4): 62–65

    Google Scholar 

  11. Albini F A. Estimating wildfire behavior and effects. USDA Forest Service General Technical Report INT-30, 1976, 23

  12. Salas J, Chuvieco E. Geographic information systems for wildland fire risk mapping. Wildfire, 1994, 3(2): 7–13

    Google Scholar 

  13. Castro R, Chuvieco E. Modeling forest fire danger from Geographical Information Systems. Geocarto Int, 1998, 13, 15–24

    Article  Google Scholar 

  14. Vega-García C, et al. A logit model for predicting the daily occurrence of human caused forest fires. Int J Wildland Fire, 1995, 5(2): 101–111

    Article  Google Scholar 

  15. Pew K L, Larsen C P S. GIS analysis of spatial and temporal patterns of human-caused wildfires in the temperate rain forest of Vancouver Island. Canada, For Ecol Manage, 2001, 140(1): 1–18

    Article  Google Scholar 

  16. Román-Cuesta R M, Gracia M, Javier R. Environmental and human factors influencing fire trends in ENSO and Non-ENSO years in tropical Mexico. Ecol Appl, 2003, 13(4): 1177–1192

    Google Scholar 

  17. Malinowski E H, Howery D G. Factor Analysis in Chemistry. 1st ed. New York: John Wiley & Sons, 1980. 47–49

    MATH  Google Scholar 

  18. Baldi P, Hornik K. Neural networks and principal component analysis: learning from examples without local minima. Neural Netw, 1989, 2(1): 53–58

    Article  Google Scholar 

  19. Barnes B V, Xu Z, Zhao S. Forest ecosystems in an old-growth pine-mixed hardwood forest of the Changbai Shan Preserve in northeastern China. Can J For Res, 1993, 22(2): 144–160

    Google Scholar 

  20. Zhang P, Shao G, Zhao G, et al. Ecology: China’s forest policy for the 21st Century. Science, 2000, 288(5474): 2135–2136

    Article  Google Scholar 

  21. Gu H Y, Dai L M, Wu G, et al. Estimavtion of forest volumes by integrating Landsat TM imagery and forest inventory dara. Sci China Ser E, 2006, 49(supp.I): 54–62

    Google Scholar 

  22. Chuvieco E, Cocero D, Riaño D, et al. Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating. Remote Sens Environ, 2004, 92(3): 322–331

    Article  Google Scholar 

  23. Baihe Forestry Bureau. Yearbook of Baihe Forestry Bureau 1986–1990 (in Chinese). Hohhot: Neimenggu Technology Publishing House, 1990. 106

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China

    Xu Dong, Guofan Shao, Dai Limin & Hao Zhanqing

  2. Graduate University of Chinese Academy of Sciences, Beijing, 100039, China

    Xu Dong

  3. Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, 47907, USA

    Guofan Shao

  4. Department of Management, Shenyang Institute of Aeronautical Engineering, Shenyang, 110034, China

    Tang Lei

  5. Department of City Development, Jinan University, Jinan, 250002, China

    Wang Hui

Authors
  1. Xu Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Guofan Shao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dai Limin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hao Zhanqing
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tang Lei
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Wang Hui
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Guofan Shao.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xu, D., Shao, G., Dai, L. et al. Mapping forest fire risk zones with spatial data and principal component analysis. SCI CHINA SER E 49 (Suppl 1), 140–149 (2006). https://doi.org/10.1007/s11434-006-8115-1

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11434-006-8115-1

Keywords

Search

Navigation