2014 9th International Forum on Strategic Technology (IFOST) 2014
DOI: 10.1109/ifost.2014.6991108
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ArcGIS for assessment and display of the probability of forest fire danger

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Cited by 14 publications
(14 citation statements)
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“…The software components have been created to simulate the heat transfer in the skin structure. These might be applied to the development of a new generation medical information systems [8,9] and also for integration with GIS of forest fire hazard prediction [10,11] based on deterministic-probabilistic approach [12].…”
Section: Resultsmentioning
confidence: 99%
“…The software components have been created to simulate the heat transfer in the skin structure. These might be applied to the development of a new generation medical information systems [8,9] and also for integration with GIS of forest fire hazard prediction [10,11] based on deterministic-probabilistic approach [12].…”
Section: Resultsmentioning
confidence: 99%
“…The analysis of tables allows to draw the conclusion, that longer influence of radiation from 01005-p. 4 forest fire leads to thermal defeat of subcrustal zone at smaller distances from a fire and density of thermal radiation. Logical the conclusion serves that fact, that advancement of an edge of forest fire on more short distance from a concrete tree raises probability of a thermal trauma of this tree.…”
Section: Thermophysical Basis Of Energy Technologies 2015mentioning
confidence: 99%
“…There is their damage, fragmentation, destruction as a results of influence of forest fires on forest stands [2,3]. Development of fire impact (influence on forest ecosystems, especially, on forest stands) monitoring and forecasting technologies is prominent aspect along forecasting of forest fire danger [4]. Now overwhelming majority of papers devoted to the analysis of an actual statistical material on forest fires incidents and their ecological consequences [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…High temperatures of forest fires have a negative impact on forest stands, leading to their damage and even death [3,4]. Besides predicting forest fire danger [5], it is extremely important to develop technologies that predict the damage caused by forest fires to stands.…”
Section: Introductionmentioning
confidence: 99%