Use of binary logistic regression technique with Modis data to estimate Wild Fire Risk

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6786, Issue , 2007, Pages

  Hong, Fan ^a,b   Liping, Di ^a   Wenli, Yang ^a   Brian, Bonnlander ^c   Xiaoyan, Li ^a  

^a GEORGE MASON UNIVERSITY   (United States)

^b WUHAN UNIVERSITY   (China)

^c INSTITUTE FOR HUMAN AND MACHINE COGNITION   (United States)

Author keywords

Binary logistic regression; Distributed computing; Fire risk forecast; MODIS; ROC evaluation

Indexed keywords

BINARY IMAGES; DISTRIBUTED COMPUTER SYSTEMS; FIRE HAZARDS; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; RISK ASSESSMENT;

BINARY LOGISTIC REGRESSION; FIRE RISK FORECASTS; ROC EVALUATION; WILDLAND FIRES;

IMAGE ANALYSIS;

EID: 42549138405     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.774737     Document Type: Conference Paper

References (19)

1. Wenli Yang, Hong Fan etc. Intelligent Archives in the Context of Knowledge Building Systems; Phase I report on the Implementation of the Intelligent Archive - Knowledge Building Systems Testbed
2. Wenli Yang, Hong Fan etc. Intelligent Archives in the Context of Knowledge Building Systems; Phase II report on the Implementation of the Intelligent Archive - Knowledge Building Systems Testbed
3. Emilio Chuvieco ,2004, Wildland Fire Danger Estimation and Mapping - The Role of Remote Sensing Data, World Scientific Publishing Co., Singapore. Series in Remote Sensing Volume 4.
4. Chandler, C., Cheney, P., Thomas, P. and Williams, D. (1991). Fire in Forestry (Vol. 1 and II). Reprint. Originally published: Wiley New York, 1983.
5. Bohle, H.G., Downing, T.E. and Watts, M.J. (1994). Climate change and social vulnerability. Toward a sociology and geography of food insecurity. Global Environmental Change. 4, 1, pp. 37-48
6. Illera, P., Fernández, A. and Delgado, J.A. (1996). Temporal evolution of the NDVI as an indicator of forest fire danger, International journal of Remote Sensing. 17, 6, pp. 1093-1105.
7. Aguado, I., Chuvieco, E., Camarasa, A., Martin, P. and Camia, A. (1998). Estimation of Meteorological Fire Danger Indices from Multitemporal Series of NOAA-AVHRR data. 3rd International Conference on Forest Fire Research 14th Conference on Fire and Forest Meteorology, Luso-Coimbra, Portugal, pp. 1131-1147.
8. Kasischke, E.S. and French, N.H.F. (1997). Constraints on using AVHRR composite index imagery to study patterns of vegetation cover in boreal forests, International Journal of Remote Sensing. 18, 11, pp. 2403-2426.
9. Leblon, B., Alexander, M., Chen, J. and White, S. (2001a). Monitoring fire danger of northern boreal forests using NOAA-AVHRR NDVI images. International Journal of Remote Sensing, 22, pp. 2839-2846.
10. Leprieur, C., Verstaete, M.M., and Pinty, B., (1994). Evaluation of the performance of various vegetation indices to retrieve vegetation cover from AVHRR data. Remot Sensing Reviews.
11. McKinley, R.A., Chine, E.P. and Werth, L.F. (1985). Operational fire fuels mapping with NOAA-AVHRR data. Tenth Pecora Memorial Remote Sensing Symposium: Remote sensing in forest and range resource management. American Society for Photogrammetry and Remote Sensing (ASPRS), Fort Collins, CO, pp. 295-304.
12. Martín, M.P., Domínguez, L. and Chuvieco, E. (1995). Estimating forest fire danger from AVHRR data. 14th EARSeL Symposium on Sensors and Environmental Applications, Göteborg, Sweden, pp. 371-376.
13. Kaufman, Y.J., Justice, CO., Flynn, L.P., Kendall, J.D., Prins, E.M., Giglio, L., Ward, D.E., Menzel, W.P., and Setzer, A.W. (1998). Potential global fire monitoring from EOS-MODIS. Journal of Geophysical Research, 103, 32215-32238.
14. Zarco-Tejada, P.J., Rueda, CA., and Ustin, S.L. (2003). Water content estimation in vegetation with MODIS reflectance data and model inversion methods. Remote Sensing of Environment. 85, pp. 109-124. References 261
15. Burgan, R., Klaver, R., and Klaver, J., 1998, Fuel Models and Fire Potential from Satellite and Surface Observations, interna -tional Journal of Wildland Fire, 8:159-170.
16. Hosmer, D. and Lemeshow S., 2000, Applied logistic regression. 2nd ed. New York: Wiley.
17. Jolly, W., Graham, J., Michaelis, A., Nemani, R., and Running, S., 2004, A .exible, integrated system for generating meteorological surfaces derived from point sources across multiple geographic scales, Environmental Modelling & Software, 2005:87882.
18. Loveland, T., Merchant, J., Ohlen, D., Brown, J., 1991, Development of a land-cover characteristics database for the conterminous U.S., Photogrammetric Engineering and Remote Sensing, 57:1453-1463.
19. Jan W. van Wagtendonk, Zhi-Liang Zhu, Elizabeth L. Lile White Paper on Pre-Fire Risk Assessment and Fuels Mapping.