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(1995)
Altered fire regimes within fire-adapted ecosystems
R. Castro, E. Chuvieco (1998)
Modeling forest fire danger from geographic information systemsGeocarto International, 13
E. Chuvieco, R. Congalton (1988)
Mapping and inventory of forest fires from digital processing of tm dataGeocarto International, 3
(1994)
Geographic information systems for wildland fire risk mapping
R. Jaiswal, S. Mukherjee, K. Raju, R. Saxena (2002)
Forest fire risk zone mapping from satellite imagery and GISInternational Journal of Applied Earth Observation and Geoinformation, 4
(2002)
Forest fire situation in Malaysia
M. Darmawan, M. Aniya, S. Tsuyuki (2001)
Forest Fire Hazard Model Using Remote Sensing and Geographic Information Systems: Toward understanding of Land and Forest Degradation in Lowland areas of East Kalimantan, Indonesia
(2000)
The development of forest fire forecasting system using internet GIS and satellite remote sensing
(1976)
Estimating wildfire behaviour and effects
R.C. Rothermel
A mathematical model for predicting fire spread in wildland fuels
W. Covington, M. Moore (1994)
Postsettlement Changes in Natural Fire Regimes and Forest StructureJournal of Sustainable Forestry, 2
W. Covington, R. Everett, R. Steele, L. Irwin, Tom Daer, A. Auclair (1994)
Historical and Anticipated Changes in Forest Ecosystems of the Inland West of the United StatesJournal of Sustainable Forestry, 2
T. Saaty (1977)
A Scaling Method for Priorities in Hierarchical StructuresJournal of Mathematical Psychology, 15
R. Mutch, S. Arno, James Brown, C. Carlson, R. Ottmar, Janice Peterson (1993)
Forest Health in the Blue Mountains: A Management Strategy for Fire-Adapted Ecosystems, 310
Bill Leenhouts (1998)
Assessment of Biomass Burning in the Conterminous United StatesConservation Ecology, 2
(2000)
Factors promoting the spread of fire ”
E. Chuvieco, R. Congalton (1989)
Application of remote sensing and geographic information systems to forest fire hazard mapping.Remote Sensing of Environment, 29
Peat swamp forest fire hazard areas were identified and mapped by integrating GIS‐grid‐based and multi‐criteria analysis to provide valuable information about the areas most likely to be affected by fire in the Pekan District, south of Pahang, Malaysia. A spatially weighted index model was implemented to develop the fire hazard assessment model used in this study. Fire‐causing factors such as land use, road network, slope, aspect and elevation data were used in this application. A two‐mosaic Landsat TM scene was used to extract land use parameters of the study area. A triangle irregular network was generated from the digitized topographic map to produce a slope risk map, an aspect risk map and an elevation risk map. Spatial analysis was applied to reclassify and overlay all grid hazard maps to produce a final peat swamp forest fire hazard map. To validate the model, the actual fire occurrence map was compared with the fire hazard zone area derived from the model. The model can be used only for specific areas, and other criteria should be considered if the model is used for other areas. The results show that most of the actual fire spots are located in very high and high fire risk zones identified by the model.
Disaster Prevention and Management – Emerald Publishing
Published: Dec 1, 2004
Keywords: Forests; Fire; Geographic information systems; Malaysia
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