METHOD OF FOREST FIRES PROBABILITY ASSESSMENT WITH POISSON LAW

<p>The article describes the method for the forest fire burn probability estimation on a base of Poisson distribution. The λ parameter is assumed to be a mean daily number of fires detected for each Forest Fire Danger Index class within specific period of time. Thus, λ was calculated for sprin...

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Main Authors: A. S. Plotnikova, D. V. Ershov, P. P. Shulyak
Format: Article
Language:English
Published: Laboratory of Complex Mapping, Faculty of Geography, MSU 2016-01-01
Series:InterCarto. InterGIS
Subjects:
Online Access:http://intercarto.msu.ru/jour/article/view/254
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author A. S. Plotnikova
D. V. Ershov
P. P. Shulyak
author_facet A. S. Plotnikova
D. V. Ershov
P. P. Shulyak
author_sort A. S. Plotnikova
collection DOAJ
description <p>The article describes the method for the forest fire burn probability estimation on a base of Poisson distribution. The λ parameter is assumed to be a mean daily number of fires detected for each Forest Fire Danger Index class within specific period of time. Thus, λ was calculated for spring, summer and autumn seasons separately. Multi-annual daily Forest Fire Danger Index values together with EO-derived hot spot map were input data for the statistical analysis. The major result of the study is generation of the database on forest fire burn probability. Results were validated against EO daily data on forest fires detected over Irkutsk oblast in 2013. Daily weighted average probability was shown to be linked with the daily number of detected forest fires. Meanwhile, there was found a number of fires which were developed when estimated probability was low. The possible explanation of this phenomenon was provided.</p>
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spelling doaj.art-1333b4c6291549f5836c1f3d5fb059d62022-12-22T00:10:11ZengLaboratory of Complex Mapping, Faculty of Geography, MSUInterCarto. InterGIS2414-91792414-92092016-01-0122114214810.24057/2414-9179-2016-1-22-142-148251METHOD OF FOREST FIRES PROBABILITY ASSESSMENT WITH POISSON LAWA. S. Plotnikova0D. V. Ershov1P. P. Shulyak2Center for forest ecology and productivity Russian Academy of ScienciesCenter for forest ecology and productivity Russian Academy of ScienciesCenter for forest ecology and productivity Russian Academy of Sciencies<p>The article describes the method for the forest fire burn probability estimation on a base of Poisson distribution. The λ parameter is assumed to be a mean daily number of fires detected for each Forest Fire Danger Index class within specific period of time. Thus, λ was calculated for spring, summer and autumn seasons separately. Multi-annual daily Forest Fire Danger Index values together with EO-derived hot spot map were input data for the statistical analysis. The major result of the study is generation of the database on forest fire burn probability. Results were validated against EO daily data on forest fires detected over Irkutsk oblast in 2013. Daily weighted average probability was shown to be linked with the daily number of detected forest fires. Meanwhile, there was found a number of fires which were developed when estimated probability was low. The possible explanation of this phenomenon was provided.</p>http://intercarto.msu.ru/jour/article/view/254risk of forest firePoisson lawuse of satellite data on fires
spellingShingle A. S. Plotnikova
D. V. Ershov
P. P. Shulyak
METHOD OF FOREST FIRES PROBABILITY ASSESSMENT WITH POISSON LAW
InterCarto. InterGIS
risk of forest fire
Poisson law
use of satellite data on fires
title METHOD OF FOREST FIRES PROBABILITY ASSESSMENT WITH POISSON LAW
title_full METHOD OF FOREST FIRES PROBABILITY ASSESSMENT WITH POISSON LAW
title_fullStr METHOD OF FOREST FIRES PROBABILITY ASSESSMENT WITH POISSON LAW
title_full_unstemmed METHOD OF FOREST FIRES PROBABILITY ASSESSMENT WITH POISSON LAW
title_short METHOD OF FOREST FIRES PROBABILITY ASSESSMENT WITH POISSON LAW
title_sort method of forest fires probability assessment with poisson law
topic risk of forest fire
Poisson law
use of satellite data on fires
url http://intercarto.msu.ru/jour/article/view/254
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AT ppshulyak methodofforestfiresprobabilityassessmentwithpoissonlaw