Fire detection using GOES rapid scan imagery

Weather and Forecasting

Volumn 19, Issue 3, 2004, Pages 496-510

  Weaver, John F ^a   Lindsey, Dan ^a   Bikos, Dan ^a   Schmidt, Chris C ^b   Prins, Elaine ^c  

^a Department of Environmental and Radiological Health Sciences   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c NOAA/NESDIS Adv Satellite Prod T   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; GEOSTATIONARY SATELLITES; METEOROLOGY; WIND;

RAPID SCAN IMAGERY; WILDLAND FIRE DETECTION;

WEATHER FORECASTING;

DETECTION METHOD; FORECASTING METHOD; GOES; REMOTE SENSING; SATELLITE IMAGERY; WILDFIRE;

EID: 3142716026     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0434(2004)019<0496:FDUGRS>2.0.CO;2     Document Type: Article

References (13)

1. Bailey, A. W., and M. L. Anderson, 1980: Fire temperatures in grass. shrub and aspen communities in central Alberta. J. Range Manage., 33, 37-40.
2. Dozier, J., 1981: A method for satellite identification of surface temperature fields of sub-pixel resolution. Remote Sens. Environ., 11. 221-229.
3. Feltz, J. M., M. Moreau, E. M. Prins, K. McClaid-Cool, and I. F. Brown, 2003: Recent validation studies of the GOES Wildfire Automated Biomass Burning Algorithm (WF BA) in North and South America. Preprints, Second Int. Wildland Fire Ecology and Fire Management Congress, Orlando. FL, Amer. Meteor. Soc., CD-ROM, P7.3.
4. Flannigan, M. D., and T. H. Vonder Haar, 1986: Forest fire monitoring using NOAA satellite AVHRR. Can. J. For. Res., 16, 975-982.
5. Matson, M., and J. Dozier, 1981: Identification of sub-resolution high temperature sources using a thermal IR sensor. Photogramm. Eng. Remote Sens., 47, 1311-1318.
6. Menzel, W. P, and J. F. W. Purdom, 1994: Introducing GOES-I: The first of a new generation of geostationary operational environmental satellites. Bull. Amer. Meteor. Soc, 75, 757-781.
7. Menzel, W. P, and E. M. Prins, 1996: Monitoring biomass burning with the new generation of geostationary satellites. Biomass Burning and Global Change, J. S. Levine, Ed., The MIT Press, 56-64.
8. Prins, E. M., and W. P. Menzel, 1992: Geostationary satellite detection of biomass burning in South America. Int. J. Remote Sens., 13, 2783-2799.
9. Prins, E. M., and W. P. Menzel, 1994: Trends in South American biomass burning detected with the GOES visible infrared spin scan radiometer atmospheric sounder from 1983 to 1991. J. Geophys. Res., 99, 16 719-16 735.
10. Prins, J. M. Feltz, W. P. Menzel, and D. E. Ward, 1998: An overview of GOES-8 diurnal fire and smoke results for SCAR-B and the 1995 fire season in South America. J. Geophys. Res., 103 (D24), 31 821-31 836.
11. Prins, J. Schmetz, L. Flynn, D. Hillger, and J. Feltz, 2001: Overview of current and future diurnal active fire monitoring using a suite of international geostationary satellites. Global and Regional Wildfire Monitoring: Current Status and Future Plans, F. J. Ahern, J. G. Goldammer, and C. O. Justice, Eds., SPB Academic, 145-170.
12. Prins, J. C. C. Schmidt, J. M. Feltz, J. S. Reid, D. L. Westphal, and K. Richardson, 2003: A two-year analysis of fire activity in the Western Hemisphere as observed with the GOES Wildfire Automated Biomass Burning Algorithm. Preprints, 12th Conf. on Satellite Meteorology and Oceanography, Long Beach, CA. Amer. Meteor. Soc., CD-ROM, P2.28.
13. Weaver, J. F., J. F. W. Purdom, and T. L. Schneider, 1995: Observing forest fires with the GOES-8, 3.9-μm imaging channel. Wea. Forecasting, 10, 803-808.