Application of random sets to model uncertainties of natural

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1、StochEnvironResRiskAssess(2010)24:713–723DOI10.1007/s00477-009-0358-3ORIGINALPAPERApplicationofrandomsetstomodeluncertaintiesofnaturalentitiesextractedfromremotesensingimagesXiZhao•AlfredStein•XiaolingChenPublishedonline:15November2009ÓSpringer-Verlag2009AbstractRemo

2、telysensedimagesasamajordatasourceboundariesarerepresentedbyrandomsets,andtheirsta-toobservetheearth,havebeenextensivelyintegratedintotisticalmeanandmedianareestimated.Randomsetsarespatial-temporalanalysisinenvironmentalresearch.Infor-wellsuitedtoestimatetheseboundar

3、ies.Weconcludethatmationonspatialdistributionandspatial-temporaldynamicourmethodbasedonrandomsettheoryhasapotentialtoofnaturalentitiesrecordedbyseriesofimages,however,serveasageneralframeworkinuncertaintymodelingandisusuallybearsvariouskindsofuncertainties.Todeepenou

4、rapplicableinaspatialenvironmentalanalysis.insightintotheuncertaintiesthatareinherentintheseobservationsofnaturalphenomenafromimages,ageneralKeywordsRandomsettheory
Uncertainty
datamodelingmethodologyisdevelopedtoembracedif-Spatialdatamodel
Wetlandvegetation
Imagefer

5、entkindsofuncertainties.Theaimofthispaperistoproposearandomsetmethodforuncertaintymodelingofspatialobjectsextractedfromimagesinenvironmental1Introductionstudy.BasicconceptsofrandomsettheoryareintroducedandprimaryrandomspatialdatatypesaredefinedbasedonRemotesensingplay

6、sanimportantroleindatacollectionthem.Themethodhasbeenappliedtodynamicwetlandformonitoringdynamicgeographicalphenomena.SeriesofmonitoringinthePoyangLakenationalnaturereserveinremotelysensedimagesasamajordatasourcetoobserveChina.FourLandsatimageshavebeenusedtomonitorth

7、eearthhavebeenextensivelyintegratedintospatial-grasslandandvegetationpatches.Theirbroadgradualtemporalanalysisinenvironmentalresearch,forexampleformonitoringchangesinlakesediment(Wuetal.2007),forestfire(Umamaheshwaranetal.2007),glaciercoverageX.Zhao(&)
A.Stein(Yeetal.

8、2006)andurbanheatisland(Daietal.2009).EarthObservationScienceDepartment,InternationalInstituteTheseimagesareonlysnapshotsofprocesse