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A GIS Based Approach to Embedded Fire Modelling: A South African Case Study

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Earth Observation of Global Changes (EOGC)

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

The purpose of this study is to illustrate the role of GIS in predictive fire modelling and fire management. This is achieved through the development of a fully GIS-integrated fire model. A fire behaviour model is developed and the results are used in the fire spread model as input. The study is conducted in the Kruger National Park, South Africa.

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References

  • Albright D, Meisner BN (1999) Classification of fire simulation systems. Fire Manage notes 59(2):5–7

    Google Scholar 

  • Andrade Neto PR, Jr Ribeiro PJ, and Fook KD (2005) Integration of statistics and geographic information systems: the R/TerraLib case. In: GeoInfo 7 2005, Campos do Jordao, Brazil

    Google Scholar 

  • Brenning A (2001) Geostatistics without stationarity assumptions within geographical information systems. Freiberg Online Geoscience, vol 6. Available at: http://www.geo.tu-freiberg.de/fog/FOG_Vol_6.pdf. [Accessed 3 Aug 2012]

  • Brimicombe A (2003) GIS, Environmental Modelling and Engineering, 1st edn. Taylor & Francis, London

    Book  Google Scholar 

  • Childs C (2004) Intepolating surfaces in ArcGIS spatial analyst. ArcUser, July-September 2004, pp 32–35

    Google Scholar 

  • Eldrandaly K, Eldin N, Sui D, Shouman M, and Nawara G (2005) Integrating GIS and MCDM using COM technology. Int Arab J Info Technol 2(2):163–167

    Google Scholar 

  • ESRI (2008) What is ArcGIS, Technical report 2008

    Google Scholar 

  • Finney MA (1998) FARSITE: fire area simulator-model development and evaluation, Technical report, pp 1–52

    Google Scholar 

  • Gao B-c (1996) NDWI-a normalised difference water index for remote sensing of vegetation liquid water from space. Remote Sens Environ 58(3):257–266

    Article  Google Scholar 

  • Glasa J, Halada L (2008) On elliptical model for forest fire spread modeling and simulation. Math Comput Simul 78(1):76–88

    Article  Google Scholar 

  • Govender N (2003) Fire management in the Kruger National Park, Arid lands newsletter 1(54) Nov/Dec

    Google Scholar 

  • Johnston P, Milne G, Klemitz D (2005) Overview of bushfire spread simulation systems, Bushfire CRC, 1–25 March

    Google Scholar 

  • Pastor E, Zarate L, Planas E, Arnaldos J (2003) Mathematical models and calculation systems for the study of wildland fire behaviour. Prog Energy Combust Sci 29:139–153

    Article  Google Scholar 

  • Trollope WS, Trollope LA, Hartnett DC (2002) Fire behaviour a key factor in the fire ecology of African, forest fire research and wildland fire safety, Rotterdam

    Google Scholar 

  • Van Wilgen BW, Biggs HC, O’Regan SP, Marè N (2000) A fire history of the savanna ecosystem in the Kruger National Park, South Africa, between 1941 and 1996. S Afr J Sci 96:167–180

    Google Scholar 

  • Verbesselt J, Jonsson P, Lhermitte S, van Aard J, Coppin P (2006) Evaluating satellite and climate data-derived indices as fire risk indicators in savanna ecosystems. IEEE Transcations Geosci Remote Sens 44(6):1622–1632

    Article  Google Scholar 

  • Willis C, Van Wilgen B, Tolhurst K, Everson C, D’ Abreton P, Pero L, Fleming G (2001) The development of a national fire danger rating system for South Africa. CSIR, Pretoria

    Google Scholar 

  • Yassemi S, Dragicevic S, Schmidt M (2008) Design and implementation of an integrated GIS-based cellular automata model to characterize forest fire behaviour. Ecol Model 210:71–84

    Article  Google Scholar 

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Correspondence to Julian Lloyd Smit .

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Sibolla, B., Smit, J.L. (2013). A GIS Based Approach to Embedded Fire Modelling: A South African Case Study. In: Krisp, J., Meng, L., Pail, R., Stilla, U. (eds) Earth Observation of Global Changes (EOGC). Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32714-8_16

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