Conversion of fuel moisture content values to ignition potential for integrated fire danger assessment

Canadian Journal of Forest Research

Volumn 34, Issue 11, 2004, Pages 2284-2293

  Chuvieco, Emilio ^a   Aguado, Inmaculada ^a   Dimitrakopoulos, Alexandros P ^b  

^a UNIVERSITY OF ALCALÁ   (Spain)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

FIRES; FORESTRY; GEOGRAPHIC INFORMATION SYSTEMS; IGNITION; LIGHTNING; MOISTURE;

DANGER RATINGS; FIRE DANGER RATING SYSTEMS; FUEL MOISTURE CONTENT (FMC); WEB MAPPING SERVERS;

FUELS;

FIRE MANAGEMENT; FOREST MANAGEMENT; FUEL; MOISTURE CONTENT; RISK ASSESSMENT;

FOREST FIRES; FUELS; GIS; HUMAN FACTORS; IGNITION; LIGHTNING; MOISTURE; VARIABLES; WIND;

EID: 14844325373     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/X04-101     Document Type: Review

References (56)

1. Albini, F.A. 1976. Estimating wildfire behavior and effects. USDA For. Serv. Gen. Tech. Rep. INT-30.
2. Albini, F.A. 1985. A model for fire spread in wildland fuels by radiation. Combust. Sci. Technol. 42: 229-258.
3. Albini, F.A., and Reinhardt, E.D. 1995. Modeling ignition and burning rate of large woody natural fuels. Int. J. Wildland Fire, 5: 81-91.
4. Anderson, H.E. 1970. Forest fuel ignitability. Fire Technol. 6: 312-319.
5. Anderson, H.E. 1982. Aids to determining fuel models for estimating fire behavior. USDA For. Serv. Gen. Tech. Rep. INT-122.
6. Bemmerzouk, A.M. 1997. Evaluation of the CFFDRS and the KBDI in the Mediterranean-type environment of Crete (Greece). M.Sc. thesis, Chania, Greece.
7. Blackmarr, W.H., and Flanner, W.B. 1968. Seasonal and diurnal variation in moisture content of six species of Pocosin shrubs. USDA For. Serv. Res. Pap. SE-33.
8. Bradshaw, L., Deeming, J., Burgan, R.E., and Cohen, J. 1983. The 1978 National Fire Danger Rating System: technical documentation. USDA For. Serv. Gen. Tech. Rep. INT-169.
9. Burgan, R.E. 1979. Estimating live fuel moisture for the 1978 National Fire Danger Rating System. USDA For. Serv. Res. Pap. 1NT-226.
10. Burgan, R.E. 1989. 1978 National Fire Danger Rating System revisions. In Proceedings of the 10th Conference on Fire and Forest Meteorology, Ottawa, Ontario, 7-21 April 1989. Forestry Canada, Ottawa. pp. 275-281.
11. Burgan, R.E., and Rothermel, R.C. 1984. BEHAVE: fire behavior prediction and fuel modeling system. Fuel subsystem. USDA For. Serv. Gen. Tech. Rep. INT-167.
12. Burgan, R.E., Klaver, R.W., and Klaver, J.M. 1998. Fuel models and fire potential from satellite and surface observations. Int. J. Wildland Fire, 8: 159-170.
13. Camia, A., Leblon, B., Cruz, M., Carlson, J.D., and Aguado, I. 2003. Methods used to estimate moisture content of dead wildland fuels. In Wildland fire danger estimation and mapping: the role of remote sensing data. World Scientific Publishing, Singapore, pp. 91-117.
14. Castro, F.X., Tudela, A., and Sebastiá, M.A. 2003. Modeling moisture content in shrubs to predict fire risk in Catalonia (Spain). Agric. For. Meteorol. 116: 49-59.
15. Ceccato, P., Leblon, B., Chuvieco, E., Flasse, S., and Carlson, J.D. 2003. Estimation of live fuel moisture content. In Wildland fire danger estimation and mapping: the role of remote sensing data. World Scientific Publishing, Singapore, pp. 63-90.
16. Chandler, C., Cheney, P., Thomas, P., Trabaud, L., and Williams, D. 1983. Fire in forestry: forest fire behavior and effects. John Wiley & Sons, New York.
17. Chladil, M.A., and Nunez, M. 1995. Assessing grassland moisture and biomass in Tasmania: The application of remote sensing and empirical models for a cloudy environment. Int. J. Wildland Fire, 5: 165-171.
18. Chou, Y.H. 1992. Management of wildfires with a Geographical Information System. Internat. J. Geograph. Inf. Systems, 6: 123-140.
19. Chuvieco, E., Aguado, I., Cocero, D., and Riaño, D. 2003a. Design of an empirical index to estimate fuel moisture content from NOAA-AVHRR analysis in forest fire danger studies. Int. J. Remote Sens. 24: 1621-1637.
20. Chuvieco, E., Allgöwer, B., and Salas, F. J. 2003b. Integration of physical and human factors in fire danger assessment. In Wildland fire danger estimation and mapping: the role of remote sensing data. World Scientific Publishing, Singapore, pp. 197-218.
21. Chuvieco, E., Cocero, D., Aguado, I., Palacios-Orueta, A., and Prado, E. 2004. Improving burning efficiency estimates through satellite assessment of fuel moisture content. J. Geophys. Res.-Atmos. 109: D141S07.
22. Chuvieco, E., and Congalton, R.G. 1989. Application of remote sensing and Geographic Information Systems to forest fire hazard mapping. Remote Sens. Environ. 29: 147-159.
23. Chuvieco, E., Deshayes, M., Stach, N., Cocero, D., and Riaño, D. 1999. Short-term fire risk: foliage moisture content estimation from satellite data. In Remote sensing of large wildfires in the European Mediterranean Basin. Springer-Verlag, Berlin, pp. 17-38.
24. Chuvieco, E., and Salas, F.J. 1996. Mapping the spatial distribution of forest fire danger using GIS. Internat. J. Geograph. Inf. Systems, 10: 333-345.
25. Delichatsios, M.A., Panagiotou, T., and Kiley, F. 1991. The use of time-to-ignition data for characterizing the thermal inertia and the minimum (critical) heat flux for ignition or pyrolysis. Combust. Flame, 84: 323-332.
26. Desbois, N., Deshayes, M., and Beudoin, A. 1997. Protocol for fuel moisture content measurements. In A review of remote sensing methods for the study of large wildland fires. Departamento de Geografía, Universidad de Alcalá, Alcalá de Henares. pp. 61-72.
27. Dimitrakopoulos, A., and Papaioannou, K.K. 2001. Flammability assessment of Mediterranean forest fuels. Fire Technol. 37: 143-152.
28. Fosberg, M.A., and Schroeder, M.J. 1971. Fine herbaceous fuels in fire danger rating. USDA For. Serv. Res. Note RM-185.
29. Hardy, C.C., and Burgan, R.E. 1999. Evaluation of NDVI for monitoring live moisture in three vegetation types of the Western U.S. Photogramm. Eng. Remote Sens. 65: 603-610.
30. Jacquemoud, S., Ustin, S.L., Verdebout, J., Schmuck, G., Andreoli, G., and Hosgood, B. 1996. Estimating leaf biochemistry using the PROSPECT leaf optical properties model. Remote Sens. Environ. 56: 194-202.
31. Johansen, R.W. 1985. Effect of drought on live fuel moisture content. In Proceedings of the Eighth Conference on Fire and Forest Meteorology, Detroit, Michigan, 29 April - 2 May 1985. Edited by L.R. Donoghue and R.E. Martin. Society of American Foresters, Bethesda, Md. pp. 47-51.
32. Leblon, B. 2001. Forest wildfire hazard monitoring using remote sensing: a review. Remote Sens. Rev. 20: 1-57.
33. Lee, B.S., Alexander, M.E., Hawkes, B.C., Lynham, T.J., Stocks, B.J., and Englefield, P. 2002. Information systems in support of wildland fire management decision making in Canada. Comput. Electron. Agric. 37: 185-198.
34. Levitt, J. 1980. Responses of plants to environmental stresses. Vol. II: water, radiation, salt and other stresses. Academic Press, New York.
35. Mak, E.H. 1988. Measuring foliar flammability with the limited oxygen method. For. Sci. 34: 253-259.
36. Mutch, R.W. 1970. Wildland fires and ecosystems - a hypothesis. Ecology, 51: 1046-1051.
37. Paltridge, G.W., and Barber, J. 1988. Monitoring grassland dryness and fire potential in Australia with NOAA/AVHRR data. Remote Sens. Environ. 25: 381-394.
38. Phillips, C., and Nickey, B. 1978. The concept of "spatial risk" and its application to fire prevention. Fire Manage. Notes, 39: 7-9.
39. Pompe, V., and Vines, R.G. 1966. The influence of moisture on the combustion of leaves. Aust. For. 30: 231-241.
40. Pook, E.W., and Gill, A.M. 1993. Variations of live and dead fine fuel moisture in Pinus radiata plantations of the Australian Capital Territory. Int. J. Wildland Fire, 3: 155-168.
41. Pyne, S.J., Andrews, P.L., and Laven, R.D. 1996. Introduction to wildland fire. John Wiley & Sons, New York.
42. Rothermel, R.C. 1972. A mathematical model for predicting fire spread in wildland fuels. USDA For. Serv. Res. Pap. INT-115.
43. Rundel, P.W. 1981. Structural and chemical components of flammability. USDA For. Serv. Gen. Tech. Rep. WO-26.
44. Shafizadeh, F., Chin, P., and Degroot, W. 1977. Effective heat content of green forest fuels. For. Sci. 23: 81-89.
45. Simard, A.J. 1968. The moisture content of forest fuels: a review of the basic concepts. Can. For. Serv. For. Fire Res. Inst. Inf. Rep. FF-X-14.
46. Sylvester, T.W., and Wein, R.W. 1981. Fuel characteristics of arctic plant species and simulated plant community flammability by Rothermel's model. Can. J. Bot. 59: 898-907.
47. Thomas, J.R., Namken, L.N., Oerther, G.F., and Brown, R.G. 1971. Estimating leaf water content by reflectance measurements. Agron. J. 63: 845-847.
48. Trabaud, L. 1976. Inflamabilité et combustibilité des principales espèces des garrigues de la region mediterranéenne. Oecol. Plant. 11: 117-136.
49. Valette, J.C. 1992. Inflammabilities of Mediterranean species. In Forest Fire Risk and Management: European School of Climatology and Natural Hazards Course. Halkidiki, Greece, 27 May - 4 June 1992. Edited by P. Balabanis, G. Eftichidis, and R. Fantechi. European Commission, Halkidiki, Greece, pp. 51-64.
50. Van Wagner, C.E. 1977. Conditions for the start and spread of crown fire. Can. J. For. Res. 7: 23-34.
51. Van Wagner, C.E. 1987. Development and structure of the Canadian Forest Fire Weather Index System. Can. For. Serv. For. Tech. Rep. 35.
52. Viegas, D.X., Viegas, T.P., and Ferreira, A.D. 1992. Moisture content of fine forest fuels and fire occurrence in central Portugal. Int. J. Wildland Fire, 2: 69-85.
53. Viegas, D.X., Piñol, J., Viegas, M.T., and Ogaya, R. 1998. Moisture content of living forest fuels and their relationship with meteorological indices in the Iberian Peninsula. In 3rd International Conference on Forest Fire Research and 14th Conference on Fire and Forest Meteorology, Coimbra, Portugal, 16- 20 November 1998. Edited by D.X. Viegas. ADAI. pp. 1029-1046.
54. Viegas, D.X., Piñol, J., Viegas, M.T., and Ogaya, R. 2001. Estimating live fine fuels moisture content using meteorologically based indices. Int. J. Wildland Fire, 10: 223-240.
55. Viney, N.R. 1991. A review of fine fuel moisture modelling. Int. J. Wildland Fire, 1: 215-234.
56. Weber, J.A., and Ustin, S.L. 1991. Diurnal water relations of walnut trees: implications for remote sensing. IEEE Trans. Geosci. Remote Sens. 29: 864-874.