Analysis of fire events and controlling factors in eastern India using spatial scan and multivariate statistics

Geografiska Annaler, Series A: Physical Geography

Volumn 90, Issue 4, 2008, Pages 315-328

  Vadrevu, Krishna Prasad ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Fires; India; Multivariate spacial statistics

Indexed keywords

ECOREGION; ENVIRONMENTAL ISSUE; FIRE HISTORY; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SATELLITE DATA; SATELLITE IMAGERY; SOCIOECONOMIC INDICATOR; SPATIOTEMPORAL ANALYSIS; WILDFIRE;

ASIA; EURASIA; INDIA; JHARSUGUDA; ORISSA; SOUTH ASIA;

EID: 57649140377     PISSN: 04353676     EISSN: 14680459     Source Type: Journal    
DOI: 10.1111/j.1468-0459.2008.00348.x     Document Type: Article

References (64)

1. Albini, F.A., 1976: Estimating Wildfire Behavior and Effects. US Department of Agriculture Forest Service. General Technical Report INT-30.
2. Barney, R.J. and Stocks, B.J., 1983: Fire frequencies during the suppression period. In:
3. Wein, R.W. and MacLean, D.A. (eds): The Role of Fire in Northern Circumpolar Ecosystems. SCOPE 18. John Wiley and Sons. New York. (110 p): 45-62.
4. Beven, K.J. and Kirby, M.J., 1979: A physically based variable contributing area model of basin hydrology. Hydrological Science Bulletin, 24: 43-69.
5. Burgan, R.E., Klaver, R.W. and Klaver, J.M., 1998: Fuel models and fire potential from satellite and surface observations. International Journal of Wildland Fire, 8: 159-170.
6. Chou, Y. H., Minnich, R.A. and Dezzani, R.J., 1993: Do fire sizes differ between southern California and Baja California? Forest Science, 39: 835-844.
7. Chuvieco, E. and Salas, J., 1996: Mapping the spatial distribution of forest fire danger using GIS. International Journal of Geographic Information Systems, 10: 333-345.
8. Chuvieco, E., Salas, F.J., Carvacho, L. and Rodríguez-Silva, F., 1999: Integrated fire risk mapping. In:
9. Chuvieco, E. (ed.): Remote Sensing of Large Wildfires in the European Mediterranean Basin. Springer-Verlag. Berlin. 212 p.
10. Crutzen, P.J. and Andreae, M.O., 1990: Biomass burning in the tropics: image on atmospheric chemistry and biogeochemical cycles. Science, 250: 1669-1678.
11. Coulston, J.W. and Riitters, K.H., 2003: Geographic Analysis of forest health indicators using spatial scan and statitics. Environmental Management, 31(6): 764-773.
12. Dansereau, P.R. and Bergeron, Y., 1993: Fire history in the southern boreal forest of Quebec. Canadian Journal of Forest Research, 23: 25-32.
13. Dwass, M., 1957: Modified randomization tests for nonparametric hypotheses. Annals of Mathematical Statistics, 28: 181-187.
14. DeBano, L.F., Neary, D.G. and Folliott, P.F., 1998: Fire's Effects on Ecosystems. John Wiley and Sons. New York. 333 p.
15. Donoghue, L.R. and Main, W.A., 1985: Some factors influencing wildfire occurrence and measurement of fire prevention effectiveness. Journal of Environmental Management, 20: 87-96.
16. Dozier, J., 1981: A method for satellite identification of surface temperature fields of sub-pixel resolution. Remote Sensing of Environment, 11: 221-229.
17. Duncan, B.W. and Schmalzer, P.A., 2004: Anthropogenic influences on potential fire spread in a pyrogenic ecosystem of Florida, USA. Landscape Ecology, 19: 153-165.
18. Dunteman, G.E., 1989: Principal Components Analysis. Sage University Paper. London. 96 p.
19. Eva, H. and Lambin, E.F., 2000: Fires and land-cover change in the tropics: A remote sensing analysis at the landscape scale. Journal of Biogeography, 27: 765-776.
20. Eva, H. and Steffen, F., 2003: Examining the potential of using remotely sensed fire data to predict areas of rapid forest change in South America. Applied Geography, 23(2-3): 189-204.
21. Fearnside, P.M., 2001: Saving tropical forests as a global warming countermeasure: An issue that divides the environmental movement. Ecological Economics, 39: 167-184.
22. Flannigan, M.D. and Harrington, J.B., 1988: A study of the relation of meteorological variables to monthly provincial area burned by wildfire in Canada (1953-80). Journal of Applied Meteorology, 27: 441-452.
23. Fosberg, M.A., Mearns, L.O. and Price, C., 1993: Climate change -fire interactions at the global scale: Predictions and limitations of methods. In:
24. Crutzen, P.J. and Goldammer, J.G. (eds): Fire in the Environment: The Ecological, Atmospheric and Climatic Importance's of Vegetation Fires. John Wiley & Sons. Chichester. 400 p.
25. Fuller, D.O. and Fulk, M., 2000: Comparison of NOAA-AVHRR and DMSP-OLS for operational fire monitoring in Kalimantan, Indonesia. International Journal of Remote Sensing, 21: 181-187.
26. Fuller, D.O. and Murphy, K., 2006: The ENSO-fire dynamic in insular Southeast Asia. Climatic Change, 74: 435-455.
27. Goldammer, J.G. and Price, C., 1998: Potential impacts of climate change on fire regimes in the tropics based on MAGICC and a GISS GCM-derived lightning model. Climate Change, 39: 273-296.
28. Hjalmars, U., Kulldorff, M., Gustafsson, G. and Nagarwalla, N., 1996: Childhood leukaemia in Sweden: Using GIS and a spatial scan statistic for cluster detection. Statistics in Medicine, 15: 707-715.
29. IFFN, 2002: International Forest Fire News. Fire situation in India. FFN No. 26 (JanHary 2002): 23-27. (website: http://www.fire.uni-freiburg.de/ iffn/country/in/in_5.htm).
30. Justice, C.O., Giglio, L., Korontzi, S., Owens, J., Morisette, J.T., Roy, D., Descloitres, J., Alleaume, S., Petitcolin, F. and Kaufman, F. 2002: The MODIS fire products. Remote Sensing of Environment, 83: 244-262.
31. Kaiser, H.F. and Rice, J., 1974: Little Jiffy, mark IV. Education and Psychological Measurement, 34: 111-117.
32. Kasischke, E.S., Williams D. and Barry, D., 2002: Analysis of the patterns of large fires in the boreal forest region of Alaska. International Journal of Wildland Fire, 11: 131-144.
33. Kulldorff, M., 1997: A spatial scan statistics. Communications in Statistics. Theory and Methods, 26: 1481-1496.
34. Kulldorff, M., 1999M Spatial scan statistics: models, calculations, and applications. In:
35. Glaz, J. and Balakrishnan, N. (eds): Scan Statistics and Applications Boston: Birkhauser p. 303-322.
36. Kulldorff, M. and Nagarwalla, N., 1995: Spatial disease clusters: detection and inference. Statistics in Medicine, 14: 799-810.
37. Kulldorff, M., Athas, W. F., Feure, E. J., Mille, B. A. and Key C.R., 1998: Evaluating clusAer alarms: a space-time scan statistic and brain cancer in Los Alamos, New Mexico. American Journal of Public Health, 88(9): 1377-1380.
38. Kushla, J.D. and Ripple, W.J., 1997: The role of terrain in a fire mosaic of a temperate coniferous forest. Forest Ecology and Management, 95: 97-107.
39. Leblon, B., Kasischke, E., Alexander, M., Doyle, M. and Abbott, M., 2002: Fire danger monitoring using ERS-1 SAR images in the case of Northern Boreal Forests. Natural Hazards, 27: 231-255.
40. Legendre, P. and Legendre, L., 1998: Numerical Ecology (2nd English edition). Elsevier Science. Amsterdam. 853 p.
41. Leone, V., Koutsias, N., Martinez, J., Vega-Garcia, C. and Allgower, B., 2003: The human factor in fire danger assessment. In:
42. Chuvieco, E. (ed.): Wildland Fire Danger Estimation and Mapping: The Role of Remote Sensing Data. World Scientific. New Jersey. 280 p.
43. Levine, J.S., 1996: Biomass Burning and Global Change: Remote Sensing, Modeling and Inventory Development, and Biomass Burning in Africa. MIT Press. Cambridge. 581 p.
44. Matson, M. and Dozier, J., 1981: Identification of sub-resolution high temperature sources using a thermal IR sensor. Photogrammetric Engineering and Remote Sensing, 47: 1311-1318.
45. Massman, W.J. and Lee, X., 2002: Eddy covariance flux corrections and uncertainties in long-term studies of carbon and energy exchanges. Agriculture and Forest Meteorology, 113: 121-144.
46. Naus, J.I., 1965: Clustering of random points in two dimensions. Biometrika, 52: 263-267.
47. Nunes, M.C.S., Vasconcelos, M.J., Pereira, J.M.C., Dasgupta, N., Alldredge, R.J. and Rego, F.C., 2005: Land cover type and fire in Portugal: Do fires burn land cover selectively? Landscape Ecology, 20: 661-673.
48. Pozo, D., Olmo, F.J. and Alados-Arboledas, L., 1997: Fire detection and growth monitoring using a multitemporal technique on AVHRR mid-infrared and thermal channels. Remote Sensing of the Environment, 60: 111-120.
49. Pyne, S.J., Andrews, P.L. and Laven, R.D., 1996: Introduction to Wildland Fire. Wiley. New York. 50 p.
50. Robinson, J., 1991: Fire from space-global fire evaluation using infrared remote Sensing. International Journal of Remote Sensing, 12: 3-24.
51. Rothermel, R.C., 1972: A Mathematical Model for Predicting Fire Spread in Wild Land Fuels. US Department of Agriculture Forest Service. Research Paper INT-115. 55 p.
52. Schultz, M.G., 2002: On the use of ATSR fire count data to estimate the seasonal and interannual variability of vegetation fire emissions. Atmospheric Chemistry and Physics, 2: 387-395.
53. SFR, 2003: State of Forestry Report. Forest Survey of India. Ministry of Environment and Forests. Dehradun. 82 p.
54. Smith, A.M.S, Wooster, M.J, Drake, N., Dipostso, F., Falkowski, M. and Hudak, A.T., 2005: Testing the potential of multi-spectral remote sensing for retrospectively estimating fire severity in African savanna environments. Remote Sensing of Environment, 97: 92-115.
55. Stevens, J.P., 1986: Applied Multivariate Statistics for Social Sciences. Erlbaum. Hillsdale, NJ.
56. Stolle, F., Chomitz, K.M., Lambin, E.F. and Tomich, T.P., 2003: Land use and vegetation fires in Jambi Province, Sumatra, Indonesia. Forest Ecology and Management, 179: 277-292.
57. Sturtevant, B.R., Zollner, P.A., Gustafson, E.J. and Cleland, D.T., 2004: Human influence on the abundance and connectivity of high-risk fuels in mixed forests of northern Wisconsin, USA. Landscape Ecology, 19: 235-253.
58. Swetnam, T.W. and Betancourt, J.L., 1990: Fire-southern oscillation relations in the southwestern United States. Science, 249: 1017-1249.
59. Tabachnick, B.G. and Fidell, L.S., 1983: Using Multivariate Statistics. Harper and Row. New York. 1008 p.
60. Trigg, S.N. and Roy, D.P., 2007: A focus group study of factors that promote and constrain the use of satellite-derived fire products by resource managers in southern Africa. Journal of Environmental Management, 82: 95-110.
61. Turner, M.G.,T1989: Landscape ecology: the effect of pattern on process. Annual Review of Ecology and Systematics, 20: 171-197.
62. Van der Werf, G.R., Randerson, J. T., Collatz, G.J., Giglio, L., Kasibhatla, P.S., Avelino, A., Olsen, S.C. and Kasischke, E.S., 2004: Continental-scale partitioning of fire emissions during the 1997-2001 El Niño/La Niña period. Science, 303: 73-76.
63. Willmott, C.J., Rowe, C.M. and Mintz, Y., 1985: Climatology of the terrestrial seasonal water cycle. Journal of Climatology, 5: 589-606.
64. Wong, D.W.S. and Lee, J., 2005: Statistical Analysis of Geographic Information with Arcview GIS and ArcGIS. John Wiley and Sons. New York. 464 p.