Application of evidential reasoning to improve the mapping of regenerating forest stands

Mora, B.; Fournier, Richard; Foucher, Samuel

doi:10.1016/j.jag.2010.10.001

Cited by 8 publications

(7 citation statements)

References 38 publications

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“…This theory was also introduced in climate change uncertainty evaluation (Raje and Mujumdar, 2010;Lou and Caselton, 1997). In different researches DS technique was applied in forest sector; some examples concern: (i) ways to measure sustainability of forest management and to operationalise it in terms of utility maximisation in land use strategies (Varma et al, 2000); (ii) definition of uncertainty in forest management and silvicultural decision (Ducey, 2001) and (iii) provision of practical tool in order to estimate stand regeneration maps (Mora et al, 2010). Actually, according to authors knowledge, DS theory of evidence has never been used for economic evaluation of forest under climate change conditions.…”

Section: Introductionmentioning

confidence: 99%

The evaluation of forest crop damages due to climate change. An application of Dempster–Shafer method

Bernetti¹,

Ciampi²,

Fagarazzi³

et al. 2011

JFE

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a b s t r a c tIn order to assess damage risk caused by climate change in forest areas, Dempster-Shafer theory of evidence and fuzzy measures were applied to develop a framework for the estimation of economic forest damage. According to the definition of risk supported by the Intergovernmental Panel on Climate Change, a function of hazard and resilience lines of evidence was defined. The results of the hazard and resilience assessment were used to develop an economic framework based on Faustmann studies. The evaluation model, implemented through a spatial analysis procedure, was carried out linking Faustmann formula with hazard and resilience raster maps. The model permitted to estimate in monetary terms two possible costs to be supported: the first one is expressed as the expected damage to the forest crop on the basis of the current obtainable woody assortments and the second one referred to the potential expenses to pay in order to mitigate the risk. Finally, the framework was tested on an area of central Italy (Tuscany region).

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Section: Introductionmentioning

confidence: 99%

The evaluation of forest crop damages due to climate change. An application of Dempster–Shafer method

Bernetti¹,

Ciampi²,

Fagarazzi³

et al. 2011

JFE

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“…In terms of previous work using Dempster-Shafer theory to estimate stand regeneration maps [10], [11]. Actually, according to researchers knowledge, Dempster-Shafer theory of evidence has never been used for built an early warning system of poultry diseases fusion with Web Mapping.…”

Section: Dempster-shafer Theorymentioning

confidence: 99%

Poultry Diseases Warning System using Dempster-Shafer Theory and Web Mapping

Maseleno¹,

Hasan²

2012

IJARAI

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Abstract-In this research, the researcher built a Web Mapping and Dempster-Shafer theory as an early warning system of poultry diseases. Early warning is the provision of timely and effective information, through identified institutions, that allows individuals exposed to a hazard to take action to avoid or reduce their risk and prepare for effective response. In this paper as an example we use five symptoms as major symptoms which include depression, combs, wattle, bluish face region, swollen face region, narrowness of eyes, and balance disorders. Research location is in the Lampung Province, South Sumatera. The researcher's reason to choose Lampung Province in South Sumatera on the basis that has a high poultry population. Our approach uses Dempster-Shafer theory to combine beliefs in certain hypotheses under conditions of uncertainty and ignorance, and allows quantitative measurement of the belief and plausibility in our identification result. Web Mapping is also used for displaying maps on a screen to visualize the result of the identification process. The result reveal that Poultry Diseases Warning System has successfully identified the existence of poultry diseases and the maps can be displayed as the visualization.

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“…The DSm theory was conceived jointly by Jean Dezert and Florentin Smarandache [1]- [3], it is a new way of representing and fusioning uncertain information. DSmT, considered as a generalization of the evidence theory of Demspter-Shafer [15], was developed to overcome the inherent limitations of DST (Dempster-Shafer Theory ) [1]- [3], [6]- [9], [13], [15]. The basic idea of DSmT rests on the definition of the hyper power set, from which the mass functions, the combination rules and the generalized belief functions are built.…”

Section: A Principles Of the Dsmtmentioning

confidence: 99%

“…The DSmT contains two models : the free model and the hybrid model [? ], [1], [2], [7], [9], [11], the first presents limits concerning the size of the hyper power set D Θ , whereas the second has the advantage of minimizing this size, for this reason, it will be used in the continuation of our study.…”

Section: A Principles Of the Dsmtmentioning

confidence: 99%

Change detection by new DSmT decision rule and ICM with constraints: Application to Argan land cover

Elhassouny

Idbraim

Mammass

et al. 2012

2012 International Conference on Multimedia Computing and Systems

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The objective of this work is, in the first place, the integration in a fusion process using hybrid DSmT model, both, the contextual information obtained from a supervised ICM classification with constraints and the temporal information with the use of two images taken at two different dates. Secondly, we have proposed a new decision rule based on the DSmP transformation to overcome the inherent limitations of the decision rules thus use the maximum of generalized belief functions.The approach is evaluated on two LANDSAT ETM+ images, the results are promising.

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Application of evidential reasoning to improve the mapping of regenerating forest stands

Cited by 8 publications

References 38 publications

The evaluation of forest crop damages due to climate change. An application of Dempster–Shafer method

The evaluation of forest crop damages due to climate change. An application of Dempster–Shafer method

Poultry Diseases Warning System using Dempster-Shafer Theory and Web Mapping

Change detection by new DSmT decision rule and ICM with constraints: Application to Argan land cover

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