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EXAMPLESOFAPPLICATIONSWITHREMOTESENSINGIMAGESdr.ir.JanCleversCentreforGeo-InformationDept.EnvironmentalSciencesWageningenUR\nAGRICULTUREWageningenUR2002Explanation\nSatelliteimageofagriculturalfieldsWageningenUR2002Explanation\nFORESTRYWageningenUR2002BiodiversityWoodDeforestationExplanation\nSatelliteimageofdeforestationWageningenUR2002Comparisonofanaerialphotograph(bottom)witharadarimage(top)ofdeforestationalongaroadExplanation\nAerialrecordingforspeciesidentificationWageningenUR2002Darkgreen:conifersGreen:lowerbranchesLightpurple:gravelYellow:deciduousOrange:drygroundcoverRed:wetgroundcoverBlue(light):waterBlue(dark):deeporclearwaterLandcoverclassificationExplanation\nDetectionofforestfires(Canada)NOAA-AVHRRimageWageningenUR2002A=burnedareasB=FortNormanC=NormanWellsExplanation\nGEOLOGYWageningenUR2002Explanation\nRadarimageforgeologicalmappingWageningenUR2002Explanation\nHYDROLOGYWageningenUR2002Explanation\nExampleoffloodingWageningenUR2002Explanation\nRadarsatelliteimageoffloodingWageningenUR2002A=Floodedarea(dark)B=Town(bright)C=Railroad(brightline)D=FarmlandExplanation\nSoilmoisturefromradarimagesWageningenUR2002Wetareasduetorecentprecipitationshowupbrightintheimage(bottomhalf)Explanation\nLANDUSEWageningenUR2002IntensivelanduseinChinaExplanation\nAerialphotographyforthedetectionofurbanexpansionWageningenUR2002Explanation\nMappingurbanexpansionwithmultitemporalsatelliteimagesWageningenUR2002Egypt:lightgreen=urbanareasin1973;pink=urbanareasin1985Explanation\nMAPPINGWageningenUR2002RadarimageofacontinuouslycloudedareaMapwiththeroadnetworkExplanation\nTopographicalmapderivedfromaradarimageWageningenUR2002Explanation\nEXAMPLESOFAPPLICATIONSWITHREMOTESENSINGIMAGESEXPLANATIONdr.ir.JanCleversCentreforGeo-InformationDept.EnvironmentalSciencesWageningenUR\nAGRICULTURE-1-WageningenUR2002Agricultureplaysadominantroleineconomiesofbothdevelopedandundevelopedcountries.Whetheragriculturerepresentsasubstantialtradingindustryforaneconomicallystrongcountryorsimplysustenanceforahungry,overpopulatedone,itplaysasignificantroleinalmosteverynation.Theproductionoffoodisimportanttoeveryoneandproducingfoodinacost-effectivemanneristhegoalofeveryfarmer,large-scalefarmmanagerandregionalagriculturalagency.Afarmerneedstobeinformedtobeefficient,andthatincludeshavingtheknowledgeandinformationproductstoforgeaviablestrategyforfarmingoperations.Thesetoolswillhelphimunderstandthehealthofhiscrop,extentofinfestationorstressdamage,orpotentialyieldandsoilconditions.Commoditybrokersarealsoveryinterestedinhowwellfarmsareproducing,asyield(bothquantityandquality)estimatesforallproductscontrolpriceandworldwidetrading.(source:CCRS-tutorial)\nAGRICULTURE-2-WageningenUR2002Satelliteandairborneimagesareusedasmappingtoolstoclassifycrops,examinetheirhealthandviability,andmonitorfarmingpractices.Agriculturalapplicationsofremotesensingincludethefollowing:-croptypeclassification-cropconditionassessment-cropyieldestimation-mappingofsoilcharacteristics-mappingofsoilmanagementpractices-compliancemonitoring(farmingpractices).(source:CCRS-tutorial)\nFORESTRY-1-WageningenUR2002Forestsareavaluableresourceprovidingfood,shelter,wildlifehabitat,fuel,anddailysuppliessuchasmedicinalingredientsandpaper.ForestsplayanimportantroleinbalancingtheEarth'sCO2supplyandexchange,actingasakeylinkbetweentheatmosphere,geosphere,andhydrosphere.Tropicalrainforests,inparticular,houseanimmensediversityofspecies,morecapableofadaptingto,andthereforesurviving,changingenvironmentalconditionsthanmonocultureforests.Thisdiversityalsoprovideshabitatfornumerousanimalspeciesandisanimportantsourceofmedicinalingredients.Themainissuesconcerningforestmanagementaredepletionduetonaturalcauses(firesandinfestations)orhumanactivity(clear-cutting,burning,landconversion),andmonitoringofhealthandgrowthforeffectivecommercialexploitationandconservation.(source:CCRS-tutorial)\nFORESTRY-2-WageningenUR2002Humansgenerallyconsidertheproductsofforestsuseful,ratherthantheforeststhemselves,andsoextractingwoodisawide-spreadandhistoricalpractice,virtuallyglobalinscale.Depletionofforestresourceshaslongtermeffectsonclimate,soilconservation,biodiversity,andhydrologicalregimes,andthusisavitalconcernofenvironmentalmonitoringactivities.Commercialforestryisanimportantindustrythroughouttheworld.Forestsarecroppedandre-harvested,andthenewareascontinuallysoughtforprovidinganewsourceoflumber.Withincreasingpressuretoconservenativeandvirginforestareas,andunsustainableforestrypracticeslimitingtheremainingareasofpotentialcutting,thecompaniesinvolvedinextractingwoodsuppliesneedtobemoreefficient,economical,andawareofsustainableforestrypractices.Ensuringthatthereisahealthyregenerationoftreeswhereforestsareextractedwillensureafutureforthecommercialforestryfirms,aswellasadequatewoodsuppliestomeetthedemandsofagrowingpopulation.(source:CCRS-tutorial)\nFORESTRY-3-WageningenUR2002Non-commercialsourcesofforestdepletionincluderemovalforagriculture(pastureandcrops),urbandevelopment,droughts,desertencroachment,lossofgroundwater,insectdamage,fireandothernaturalphenomena(disease,typhoons).Insomeareasoftheworld,particularlyinthetropics,(rain)forests,arecoveringwhatmightbeconsideredthemostvaluablecommodity-viableagriculturalland.Forestsareburnedorclear-cuttofacilitateaccessto,anduseof,theland.Thispracticeoftenoccurswhentheperceivedneedforlongtermsustainabilityisoverwhelmedbyshort-termsustenancegoals.Notonlyarethedepletionofspecies-richforestsaproblem,affectingthelocalandregionalhydrologicalregime,thesmokecausedbytheburningtreespollutestheatmosphere,addingmoreCO2,andfurtheringthegreenhouseeffect.(source:CCRS-tutorial)\nFORESTRY-4-WageningenUR2002Radarismoreusefulforapplicationsinthehumidtropicsbecauseitsallweatherimagingcapabilityisvaluableformonitoringalltypesofdepletion,includingclearcuts,inareaspronetocloudyconditions.Cutscanbedefinedonradarimagesbecauseclearcutsproducelessbackscatterthantheforestcanopy,andforestedgesareenhancedbyshadowandbrightbackscatter.However,regeneratingcutsaretypicallydifficulttodetect,asadvancedregenerationandmatureforestcanopyarenotseparable.Mangroveforestsgenerallyoccurintropicalcoastalareas,whicharepronetocloudyconditions,thereforeareliablemonitoringtoolisrequiredtosuccessivelymeasuretherateofforestdepletion.Radarhasbeenproventodifferentiatemangrovefromotherlandcovers,andsomebandshavelongwavelengthscapableofpenetratingcloudandrain.Theonlylimitationisindifferentiatingdifferentmangrovespecies.(source:CCRS-tutorial)\nFORESTRY-5-WageningenUR2002Forestcompaniesusehyperspectralimagerytoobtainstemcounts,standattributes,andformappingoflandcoverintheforestregionofinterest.TheseimagesdepictafalsecolourhyperspectralimageofaDouglasfirforestonVancouverIslandataresolutionof60cm.Theimagerywasacquiredinthefallof1995bytheCASI(CompactAirborneImagingSpectrometer).Attributesobtainedfromtheimagery(asubsetisshown)include:StandArea(hectares)9.0Totalnumberoftrees520Treedensity(stems/ha)58Crownclosure(%)12.46Averagetreecrownarea(sqm)21.47(source:CCRS-tutorial)\nFORESTRY-6-WageningenUR2002Remotesensingcanbeusedtodetectandmonitorforestfiresandtheregrowthfollowingafire.Asasurveillancetool,routinesensingfacilitatesobservingremoteandinaccessibleareas,alertingmonitoringagenciestothepresenceandextentofafire.NOAAAVHRRthermaldataandGOESmeteorologicaldatacanbeusedtodelineateactivefiresandremaining"hot-spots"whenopticalsensorsarehinderedbysmoke,haze,and/ordarkness.Comparingburnedareastoactivefireareasprovidesinformationastotherateanddirectionofmovementofthefire.Remotesensingdatacanalsofacilitaterouteplanningforbothaccessto,andescapefrom,afire,andsupportslogisticsplanningforfirefightingandidentifyingareasnotsuccessfullyrecoveringfollowingaburn.(source:CCRS-tutorial)\nFORESTRY-7-WageningenUR2002Casestudy(example)NorthwestTerritoryBurn(Canada)InthewesternNorthwestTerritoriesalongtheMackenzieRiver,borealforestcoversmuchofthelandscape.Nativesrelyontheforestsforhuntingandtrappinggrounds,andthesensitivenorthernsoilandpermafrostareprotectedfromerosionbytheforestcover.Intheearly1990'sahugefiredevastatedtheregionimmediatelyeastoftheMackenzieandthreatenedthetownofFortNorman,anativetownsouthofNormanWells.TheextentoftheburnedareacanbeidentifiedonthisNOAAsceneasdarkregions(A).ThelakeintheupperrightisGreatBearLake,andthelaketothelowerrightisGreatSlaveLake.ThecourseoftheMackenzieRivercanbeseentotheleftoftheselakes.FortNorman(B)islocatedatthejunctionoftheMackenzieRiverandGreatBearRiver.NormanWells(C)isknownasanoilproducingarea,andstoragesilos,oilrigs,homes,andtheonlycommercialairportinthatpartofthecountrywerethreatened.Firesinthisregionaredifficulttoaccessbecauseofthelackofroadsintotheregion.(source:CCRS-tutorial)\nGEOLOGY-1-WageningenUR2002Geologyinvolvesthestudyoflandforms,structures,andthesubsurface,tounderstandphysicalprocessescreatingandmodifyingtheearth'scrust.Itismostcommonlyunderstoodastheexplorationandexploitationofmineralandhydrocarbonresources,generallytoimprovetheconditionsandstandardoflivinginsociety.Petroleumprovidesgasandoilforvehicletransportation,aggregateandlimestonequarrying(sandandgravel)providesingredientsforconcreteforpavingandconstruction,potashminescontributetofertilizer,coaltoenergyproduction,preciousmetalsandgemsforjewelry,diamondsfordrillbits,andcopper,zincandassortedmineralsforavarietyofuses.Geologyalsoincludesthestudyofpotentialhazardssuchasvolcanoes,landslides,andearthquakes,andisthusacriticalfactorforgeotechnicalstudiesrelatingtoconstructionandengineering.(source:CCRS-tutorial)\nGEOLOGY-2-WageningenUR2002Remotesensingisusedasatooltoextractinformationaboutthelandsurfacestructure,compositionorsubsurface,butisoftencombinedwithotherdatasourcesprovidingcomplementarymeasurements.Multispectraldatacanprovideinformationonlithologyorrockcompositionbasedonspectralreflectance.Radarprovidesanexpressionofsurfacetopographyandroughness,andthusisextremelyvaluable,especiallywhenintegratedwithanotherdatasourcetoprovidedetailedrelief.Structuralgeologyplaysanimportantroleinmineralandhydrocarbonexploration,andpotentialhazardidentificationandmonitoring.Structuralmappingistheidentificationandcharacterizationofstructuralexpressions.Structuresincludefaults,folds,synclinesandanticlinesandlineaments.Understandingstructuresisthekeytointerpretingcrustalmovementsthathaveshapedthepresentterrain.Structurescanindicatepotentiallocationsofoilandgasreserves.(source:CCRS-tutorial)\nHYDROLOGY-1-WageningenUR2002HydrologyisthestudyofwaterontheEarth'ssurface,whetherflowingaboveground,frozeniniceorsnow,orretainedbysoil.Hydrologyisinherentlyrelatedtomanyotherapplicationsofremotesensing,particularlyforestry,agricultureandlandcover,sincewaterisavitalcomponentineachofthesedisciplines.Mosthydrologicalprocessesaredynamic,notonlybetweenyears,butalsowithinandbetweenseasons,andthereforerequirefrequentobservations.Remotesensingoffersasynopticviewofthespatialdistributionanddynamicsofhydrologicalphenomena,oftenunattainablebytraditionalgroundsurveys.Radarhasbroughtanewdimensiontohydrologicalstudieswithitsactivesensingcapabilities,allowingthetimewindowofimageacquisitiontoincludeinclementweatherconditionsorseasonalordiurnaldarkness.(source:CCRS-tutorial)\nHYDROLOGY-2-WageningenUR2002Asanexample,remotesensingtechniquesareusedtomeasureandmonitorthearealextentofthefloodedareas,toefficientlytargetrescueeffortsandtoprovidequantifiableestimatesoftheamountoflandandinfrastructureaffected.IncorporatingremotelysenseddataintoaGISallowsforquickcalculationsandassessmentsofwaterlevels,damage,andareasfacingpotentialflooddanger.Usersofthistypeofdataincludefloodforecastagencies,hydropowercompanies,conservationauthorities,cityplanningandemergencyresponsedepartments,andinsurancecompanies(forfloodcompensation).Theidentificationandmappingoffloodplains,abandonedriverchannels,andmeandersareimportantforplanningandtransportationrouting.(source:CCRS-tutorial)\nHYDROLOGY-3-WageningenUR2002Casestudy:RADARSATmapstheManitobaSea:the1997floodsRADARSATprovidedsomeexcellentviewsoftheflood,becauseofitsabilitytoimageindarknessorcloudyweatherconditions,anditssensitivitytotheland/waterdifferences.Inthisimage,thefloodwater(A)completelysurroundsthetownofMorris(B),visibleasabrightpatchwithinthedarkfloodwater.Thefloodedareasappeardarkonradarimagerybecauseverylittleoftheincidentmicrowaveenergydirectedtowardthesmoothwatersurfacereturnsbacktothesensor.Thetownhowever,hasmanyangular(corner)reflectorsprimarilyintheformofbuildings,whichcausetheincidentenergyto"bounce"backtothesensor.Transportationroutescanstillbeobserved.Arailroad,onitsraisedbed,canbeseenamidstthewaterjustabove(C),trendingsouthwest-northeast.Farmlandrelativelyunaffectedbytheflood(D)isquitevariableinitsbackscatterresponse.Thisisduetodifferencesineachfield'ssoilmoistureandsurfaceroughness.(source:CCRS-tutorial)\nHYDROLOGY-4-WageningenUR2002ShownhereisaradarimageacquiredJuly7,1992bytheEuropeanSpaceAgency(ESA)ERS-1satellite.ThissynopticimageofanareanearMelfort,Saskatchewan,Canada,detailstheeffectsofalocalizedprecipitationeventonthemicrowavebackscatterrecordedbythesensor.Areaswhereprecipitationhasrecentlyoccurredcanbeseenasabrighttone(bottomhalf)andthoseareasunaffectedbytheeventgenerallyappeardarker(upperhalf).Thisisaresultofthecomplexdielectricconstantwhichisameasureoftheelectricalpropertiesofsurfacematerials.Thedielectricpropertyofamaterialinfluencesitsabilitytoabsorbmicrowaveenergy,andthereforecriticallyaffectsthescatteringofmicrowaveenergy.Awetsoilsexhibitsahighmicrowavebackscattersignal,andthusshowsupbrightintheimage.(source:CCRS-tutorial)\nLANDUSE-1-WageningenUR2002Althoughthetermslandcoverandlanduseareoftenusedinterchangeably,theiractualmeaningsarequitedistinct.Landcoverreferstothesurfacecoverontheground,whethervegetation,urbaninfrastructure,water,baresoilorother.Landusereferstothepurposethelandserves,forexample,recreation,wildlifehabitat,oragriculture.Itisimportanttodistinguishthisdifferencebetweenlandcoverandlanduse,andtheinformationthatcanbeascertainedfromeach.Thepropertiesmeasuredwithremotesensingtechniquesrelatetolandcover,fromwhichlandusecanbeinferred,particularlywithancillarydataoraprioriknowledge.(source:CCRS-tutorial)\nLANDUSE-2-WageningenUR2002Throughouttheworld,requirementsforrural/urbandelineationwilldifferaccordingtotheprevalentatmosphericconditions.Areaswithfrequentlycloudyskiesmayrequirethepenetratingabilityofradar,whileareaswithclearconditionscanuseairphoto,opticalsatelliteorradardata.Whilethelandusepracticesforbothruralandurbanareaswillbesignificantlydifferentinvariouspartsoftheworld,therequirementforremotesensingtechniquestobeapplied(otherthanthecloud-coverissue)willbeprimarilytheneedforfinespatialdetail.(source:CCRS-tutorial)\nLANDUSE-3-WageningenUR2002ThisimageoflandcoverchangeprovidesmultitemporalinformationintheformofurbangrowthmappingsomewhereinEgypt.Thecoloursrepresenturbanlandcoverfortwodifferentyears.Thegreendelineatesthoseareasofurbancoverin1973,andthepink,urbanareasfor1985.Thisimagedramaticallyshowsthechangeinexpansionofexistingurbanareas,andtheclearingofnewlandforsettlementsovera12yearperiod.Thistypeofinformationwouldbeusedforupgradinggovernmentservices,planningforincreasedtransportationroutes,etc(source:CCRS-tutorial)\nMAPPING-1-WageningenUR2002Mappingconstitutesanintegralcomponentoftheprocessofmanaginglandresources,andmappedinformationisthecommonproductofanalysisofremotelysenseddata.Naturalfeaturesandmanufacturedinfrastructures,suchastransportationnetworks,urbanareas,andadministrativeboundariescanbepresentedspatiallywithrespecttoreferencedco-ordinatesystems,whichmaythenbecombinedwiththematicinformation.Baseline,thematic,andtopographicmapsareessentialforplanning,evaluating,andmonitoring,formilitaryorcivilianreconnaissance,orlandusemanagement,particularlyifdigitallyintegratedintoageographicinformationsystemasaninformationbase.Integratingelevationinformationiscrucialtomanyapplicationsandisoftenthekeytothepotentialsuccessofpresentdaymappingprograms.Forcloudcoveredareas,radaristheobviouschoiceforprovidingplanimetricdata.(source:CCRS-tutorial)\nMAPPING-2-WageningenUR2002Theavailabilityofdigitalelevationmodels(DEMs)iscriticalforperforminggeometricandradiometriccorrectionsforterrainonremotelysensedimagery,andallowsthegenerationofcontourlinesandterrainmodels,thusprovidinganothersourceofinformationforanalysis.GeneratingDEMsfromremotelysenseddatacanbecosteffectiveandefficient.Avarietyofsensorsandmethodologiestogeneratesuchmodelsareavailableandprovenformappingapplications.Twoprimarymethodsifgeneratingelevationdataare1.Stereogrammetrytechniquesusingairphotos(photogrammetry)orradardata(radargrammetry),and2.Radarinterferometry.Fromelevationmodels,contourlinescanbegeneratedfortopographicmaps,slopeandaspectmodelscanbecreatedforintegrationinto(landcover)thematicclassificationdatasetsorusedasasoledatasource.(source:CCRS-tutorial)\nVjSgPdLaI7F3C0y)v&s#pXmUiRfOcK9H5E2B+x(u%rZoWkThQeMbJ8G4D1z-w*t!qYnVjSgOdLaI6F3C0y)v%s#pXlUiRfNcK8H5E2A+x(u$rZnWkThPeMbJ7G4D1z-w&t!qYmVjSgOdL9I6F3B0y)v%s#oXlUiQfNcK8H5D2A+x*u$rZnWkShPeMaJ7G4C1z)w&t!pYmVjRgOcL9I6E3B0y(v%s#oXlTiQfNbK8H5D2A-x*u$qZnWkShPdMaJ7F4C1z)w&s!pYmUjRgOcL9H6E3B+y(v%r#oWlTiQeNbK8G5D1A-x*t$qZnVkSgPdMaI7F4C0z)w&s!pXmUjRfOcL9H6E2B+y(u%r#oWlThQeNbJ8G5D1A-w*t$qYnVkSgPdLaI7F3C0z)v&s#pXmUiRfOcK9H5E2B+x(u%rZoWlThQeMbJ8G4D1A-w*t!qYnVjSgPdLaI6F3C0y)v&s#pXlUiRfNcK9H5E2A+x(u$rZoWkThPeMbJ7G4D1z-w&t!qYmVjSgOdLaI6F3B0y)v%s#pXlUiQfNcK8H5E2A+x*u$rZnWkThPeMaJ7G4C1z-w&t!pYmVjRgOdL9I6E3B0y(v%s#oXlTiQfNbK8H5D2A-x*u$qZnWkShPeMaJ7F4C1z)w&t!pYmUjRgOcL9I6E3B+y(v%r#oXlTiQeNbK8G5D2A-x*t$qZnVkShPdMaI7F4C0z)w&s!pXmUjRfOcL9H6E3B+y(u%r#oWlTiQeNbJ8G5D1A-x*t$qYnVkSgPdMaI7F3C0z)v&s!pXmUiRfOcK9H6E2B+x(u%rZoWlThQeMbJ8G4D1A-w*t!qYnVjSgPdLaI7F3C0y)v&s#pXmUiRfNcK9H5E2B+x(u$rZoWkThQeMbJ7G4D1z-w*t!qYmVjSgOdLaI6F3B0y)v%s#pXlUiQfNcK8H5E2A+x(u$rZnWkThPeMbJ7G4C1z-w&t!qYmVjRgOdL9I6F3B0y(v%s#oXlUiQfNbK8H5D2A+x*u$qZnWkShPeMaJ7F4C1z)w&t!pYmVjRgOcL9I6E3B0y(v%r#oXlTiQfNbK8G5D2A-x*u$qZnVkShPdMaJ7F4C0z)w&s!pYmUjRfOcL9H6E3B+y(u%r#oWlTiQeNbJ8G5D1A-x*t$qZnVkSgPdMaI7F4C0z)v&s!pXmUjRfOcK9H6E2B+y(u%rZoWlThQeNbJ8G4D1A-w*t$qYnVjSgPdLaI7F3C0y)v&s#pXmUiRfOcK9H5E2B+x(u%rZoWkThQeMbJ8G4D1z-w*t!qYnVjSgOdLaI6F3C0y)v%s#pXlUiRfNcK8H5E2A+x(u$rZnWkThPeMbJ7G4D1z-w&t!qYmVjSgOdL9I6F3B0y)v%s#oThQeMbJ8G4D1z-w*t!qYnVjSgOdLaI6F3C0y)v%s#pXlUiRfNcK8H5E2A+x(u$rZoWkThPeMbJ7G4D1z-w&t!qYmVjSgOdL9I6F3B0y)v%s#oXlUiQfNcK8H5D2A+x*u$rZnWkShPeMaJ7G4C1z)w&t!pYmVjRgOdL9I6E3B0y(v%s#oXlTiQfNbK8H5D2A-x*u$qZnWkShPdMaJ7F4C1z)w&s!pYmUjRgOcL9H6E3B+y(v%r#oWlTiQeNbK8G5D1A-x*t$qZnVkShPdMaI7F4C0z)w&s!pXmUjRfOcL9H6E2B+y(u%r#oWlThQeNbJ8G5D1A-w*t$qYnVkSgPdLaI7F3C0z)v&s#pXmUiRfOcK9H6E2B+x(u%rZoWlThQeMbJ8G4D1A-w*t!qYnVjSgPdLaI6F3C0y)v&s#pXlUiRfNcK9H5E2A+x(u$rZoWkThPeMbJ7G4D1z-w&t!qYmVjSgOdLaI6F3B0y)v%s#pXlUiQfNcK8H5E2A+x*u$rZnWkThPeMaJ7G4C1z-w&t!pYmVjRgOdL9I6E3B0y(v%s#oXlTiQfNbK8H5D2A+x*u$qZnWkShPeMaJ7F4C1z)w&t!pYmUjRgOcL9I6E3B+y(v%r#oXlTiQeNbK8G5D2A-x*t$qZnVkShPdMaI7F4C0z)w&s!pYmUjRfOcL9H6E3B+y(u%r#oWlTiQeNbJ8G5D1A-x*t$qYnVkSgPdMaI7F3C0z)v&s!pXmUiRfOcK9H6E2B+x(u%rZoWlThQeMbJ8G4D1A-w*t$qYnVjSgPdLaI7F3C0y)v&s#pXmUiRfNcK9H5E2B+x(u$rZoWkThQeMbJ7G4D1z-w*t!qYmVjSgOdLaI6F3B0y)v%s#pXlUiRfNcK8H5E2A+x(u$rZnWkThPeMbJ7G4C1z-w&t!qYmVjRgOdL9I6Fx(u$rZoWkThQeMbJ7G4D1z-w*t!qYmVjSgOdLaI6F3C0y)v%s#pXlUiRfNcK8H5E2A+x(u$rZnWkThPeMbJ7G4C1z-w&t!qYmVjRgOdL9I6F3B0y(v%s#oXlUiQfNbK8H5D2A+x*u$rZnWkShPeMaJ7G4C1z)w&t!pYmVjRgOcL9I6E3B0y(v%r#oXlTiQfNbK8G5D2A-x*u$qZnVkShPdMaJ7F4C0z)w&s!pYmUjRgOcL9H6E3B+y(v%r#oWlTiQeNbK8G5D1A-x*t$qZnVkSgPdMaI7F4C0z)v&s!pXmUjRfOcK9H6E2B+y(u%rZoWlThQeNbJ8G4D1A-w*t$qYnVkSgPdLaI7F3C0z)v&s#pXmUiRfOcK9H5E2B+x(u%rZoWkThQeMbJ8G4D1z-w*t!qYnVjSgOdLaI6F3C0y)v%s#pXlUiRfNcK9H5E2A+x(u$rZoWkThPeMbJ7G4D1z-w&t!qYmVjSgOdL9I6F3B0y)v%s#oXlUiQfNcK8H5D2A+x*u$rZnWkShPeMaJ7G4C1z-w&t!pYmVjRgOdL9I6E3B0y(v%s#oXlTiQfNbK8H5D2A-x*u$qZnWkShPdMaJ7F4C1z)w&s!pYmUjRgOcL9H6E3B+y(v%r#oWlTiQeNbK8G5D2A-x*t$qZnVkShPdMaI7F4C0z)w&s!pXmUjRfOcL9H6E2B+y(u%r#oWlThQeNbJ8G5D1A-w*t$qYnVkSgPdLaI7F3C0z)v&s!pXmUiRfOcK9H6E2B+x(u%rZoWlThQeMbJ8G4D1A-w*t!qYnVjSgPdLaI6F3C0y)v&s#pXlUiRfNcK9H5E2A+x(u$nVkSgPdMaI7F3C0z)v&s!pXmUiRfOcK9H6E2B+x(u%rZoWlThQeMbJ8G4D1A-w*t!qYnVjSgPdLaI6F3C0y)v&s#pXlUiRfNcK9H5E2B+x(u$rZoWkThQeMbJ7G4D1z-w*t!qYmVjSgOdLaI6F3B0y)v%s#pXlUiQfNcK8H5E2A+x*u$rZnWkThPeMaJ7G4C1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