Land use planning and wildfire risk mitigation: An analysis of wildfire-burned subdivisions using high-resolution remote sensing imagery and gis data

Journal of Environmental Planning and Management

Volumn 52, Issue 7, 2009, Pages 939-955

  Bhandary, Uddhab ^a   Muller, Brian ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

IKONOS; Logistic regression; The western United States; Vulnerability; Wildfire; Wildland Urban Interface

Indexed keywords

FIRE MANAGEMENT; GIS; IKONOS; IMAGING METHOD; LAND USE PLANNING; LOGIT ANALYSIS; MODELING; PROBABILITY; REMOTE SENSING; RISK ASSESSMENT; SITE SELECTION; VULNERABILITY; WILDFIRE;

NORTH AMERICA; UNITED STATES;

EID: 70349605126     PISSN: 09640568     EISSN: 13600559     Source Type: Journal    
DOI: 10.1080/09640560903181147     Document Type: Article

References (43)

1. Blackwell, J. and Tuttle, A., 2003. California fire siege 2003: the story [online]. California Department of Forestry and Fire Protection. Available from: http://www.fire.ca.gov/fire_protection/downloads/2003FireStoryInternet.pdf [Accessed 5 August 2005].
2. Blaikie, P., Cannon, I., and Wisner, B., 1994. At risk: natural hazards, people's vulnerability, and disasters. London: Routledge.
3. Busenberg, G., 2004. Wildfire management in the United States: the evolution of a policy failure. Review of policy research, 21 (2), 145-156.
4. Cablk, M.E. and Minor, T.B., 2003. Detecting and discriminating impervious cover with highresolution IKONOS data using principal component analysis and morphological operators. International journal of remote sensing, 24 (23), 4627-4646.
5. Campbell, V., Anderson, D., and Jakes, P., 2003. Human dimension research related to wildland fires: an annotated bibliography [online]. Available from: http://www.ncrs.fs.fed.us/4803/highlights/fire-bibliography.pdf [Accessed 23 September 2005].
6. Chan, Y.H., 2004. Biostatistics 202: logistic regression analysis. Singapore medical journal, 45(4), 149-153.
7. Charles, E., et al., 2006. Timber-processing capacity and capabilities in the Western United States. Journal of forestry, 104 (5), 262-268.
8. Cohen, J., 2004. Relating flame radiation to home ignition using modeling and experimental crown fires. Canadian Journal of Forest Reseach, 34, 1616-1626.
9. Cova, T.J. and Church, R.L., 1997. Modeling community evacuation vulnerability using GIS. International journal of geographical information science, 11, 763-784.
10. Cutter, S., Mitchell, J., and Scott, M., 2000. Revealing the vulnerability of people and places: a case study of Georgetown County, South Carolina. Annals of the Association of American Geographers, 90 (4), 713-737.
11. Davis, C.H. and Wang, X., 2003. Planimetric accuracy of IKONOS 1 m panchromatic orthoimage products and their utility for local government GIS basemap application.International journal of remote sensing, 24 (22), 4267-4288.
12. Demers, M., 2000. Fundamentals of geographic information systems. New York: John Wiley & Sons.
13. Douglas County, CO, 2004a. Assessor data [online]. Available from: http://www.douglas.co.us/assessor/data_downloads.htm [Accessed 20 October 2004].
14. Douglas County, CO, 2004b. GIS data [online]. Available from: http://www.douglas.co.us/informationtech/gis/data_products.html [Accessed 10 OCtober 2004].
15. Edel, S., 2002. Colorado wild-land interface hazard assessment methodology [online]. Colorado State Forest Services. Available from: http://csfs.colostate.edu/pages/documents/coloradoWUIHazardAssessmentFinal.pdf [Accessed 10 Aug 2004].
16. Ewert, A.W., Chavez, D.J., and Magill, A., eds., 1993. Culture, conflict, and communication in the Wildland-Urban Interface. Boulder, CO: Westview Press.
17. FRFTPR, 2006. Living with fire: protecting communities and restoring forests: findings and recommendations of the front range fuels treatment partnership roundtable [online].The Front Range Fuels Treatment Partnership Roundtable. Available from: http://www.centerwest.org/publications/pdf/fire.pdf [Accessed 20 May 2006].
18. Gaida, S., De Groeve, T., and Ehrlich, D., 2003. Information extraction from very highresolution satellite imagery over Lukole refugee camp, Tanzania. International journal of remote sensing, 24 (22), 4251-4266.
19. Ganas, A., Lagios, E., and Tzannetos, N., 2002. An investigation into the spatial accuracy of the IKONOS 2 orthoimagery within an urban environment. International journal of remote sensing, 23 (17), 3513-3519.
20. Geoeye, 2006. IKONOS imagery product guide 2006 [online]. Available from: http://www.geoeye.com/ [Accessed 20 September 2006].
21. Gorsevski, P., et al., 2006. Spatial prediction of landslide hazard using logistic regression and ROC analysis. Transactions in GIS, 10 (3), 395-415.
22. Gorte, R., 2006. CRS Report for congress: forest fire/wildfire protection[online]. Congressional Research Services, The Library of Congress. Available from:http://www.ncseonline.org/nle/crsreports/06Feb/RL30755.pdf [Accessed 10 February2006].
23. Graham, R., eds., 2003. Hayman fire case study [online]. USDA Forest Service. Available from: http://www.fs.fed.us/rm/pubs/rmrs_gtr114.pdf [Accessed 4 November 2005].
24. Halvorson, S., 2002. The fires of 2000: community response and recovering the Bitter Root Valley Western Montana [online]. University of Colorado: Natural Hazard Research and Applications Information Center. Available from: http://www.colorado.edu/hazards/qr/qr151.html [Accessed 20 December 2004].
25. Hosmer, D.W. Jr. and Lemeshow, S., 2000. Applied logistic regression. 2nd ed. Canada: John Wiley & Sons.
26. McKee, M., et al., 2004. Using experimental economics to examine wildfire insurance and averting decision in the Wildland-Urban Interface. Society and natural resources, 17, 491-507.
27. Mueller, M., et al., 2006. Potential of high-resolution satellite data in the context of vulnerability of buildings. Natural hazards, 38, 247-258.
28. Muller, B., Sulte, S., and Bhandary, U., 2006. Resort development and wildfire: managing the accumulation of risk. In: T. Clark, A. Gill, and R. Hartmann, eds. Mountain resort planning and development in an era of globalization. New York: Cognizant Communication Corporation, ch 15, 234-247.
29. NFPA, 2002. NFPA 1144: Standard for protection of life and property from wildfire. National Fire Protection Association.
30. NIEHS, 2006. Obesity and the built environment: improving public health through community design [online]. National Institute of Environmental Health Science -National Institute of Health. Available from: http://www.niehs.nih.gov/news/events/pastmtg/2004/built/ [Accessed 4 September 2004].
31. NWCG, 1994. Introduction to wild-land fire behavior S-190. National Wildfire CoordinationGroup (NWCG).
32. O'Connell, A., 2006. Logistic regression model for ordinal response variable, quantitative application in the social science. London: Sage.
33. Pampel, F., 2000. Logistic regression, quantitative applications in the social science. London: Sage.
34. Platt, R., 1996. Land use and society: geography, law and public policy. Washington DC: Island Press.
35. Prestemon, J., et al., 2001. Understanding broadscale wildfire risk in a human-dominated landscape. Forest science, 48 (4), 685-693.
36. Read, J.M., et al., 2003. Application of merged 1-m and 4-m resolution satellite data to research and management in tropical forests. Journal of applied ecology, 40, 592-600.
37. Schwab, J., Meck, S., and Simone, J., 2005. Planning for wildfires: planning advisory services report no 529/530. Chicago: The American Planning Association.
38. Siegel, F., 1996. Natural and anthropogenic hazards in development planning. Austin: Academic Press.
39. Szasz, A. and Michael, M., 1997. Environmental inequalities: literature review and proposals for new directions in research and theory. Current sociology, 45, 99-120.
40. Tyson, B., Worthley, T., and Danley, K., 2004. Layering natural resource and human resources data for planning watershed conservation strategies. Society and natural resources, 17, 163-170.
41. US Department of Agriculture (USDA) Forest Services and US Department of the Interior (DOI), Bureau of Land Management, 2004. The Healthy Forests Initiative and Healthy Forests Restoration Act: Interim Field Guide. Washington DC: USDA.
42. Willams, B. and Korinek, D., 2001. Perry Park Firewise survey (Unpublished).
43. Wulder, M.A., Niemann, K.O., and Nelson, T., 2004. Comparison of airborne and satellite high spatial resolution data for the identification of individual trees with local maxima filtering. International journal of remote sensing, 25 (11), 2225-2232.