Mapping badland areas using LANDSAT TMETM satellite imagery and morphological data.docx

Mapping badland areas using LANDSAT TMETM satellite imagery and morphological data.docx

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MappingbadlandareasusingLANDSATTMETMsatelliteimageryandmorphologicaldata

36

IAP,thethermalplasmaanalyzeronDEMETER  OriginalResearchArticle

PlanetaryandSpaceScience,Volume54,Issue5,April2006,Pages487-501

J.J.Berthelier,M.Godefroy,F.Leblanc,E.Seran,D.Peschard,P.Gilbert,J.Artru

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37

Tele-maintenance“intelligent”systemfortechnicalplantsresultmanagement  OriginalResearchArticle

ReliabilityEngineering&SystemSafety,Volume94,Issue1,January2009,Pages63-77

MassimoConcetti,RobertoCuccioletta,LorenzoFedele,GiampieroMercuri

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38

TheGHIBLIplasmawindtunnel:

DescriptionofthenewCIRA-PWTfacility  OriginalResearchArticle

ActaAstronautica,Volume61,Issues1-6,June-August2007,Pages331-340

CarloPurpura,FedericoDeFilippis,EgidioGraps,EduardoTrifoni,RaffaeleSavino

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AbstractAbstract|Figures/TablesFigures/Tables|ReferencesReferences

Abstract

AnewplasmawindtunnelisunderconstructionattheItalianAerospaceResearchCentre（CIRA）locatedatCapua.ItisnamedGHIBLIandtheplasmaisgeneratedbyasegmentedarcheaterwhosepowerisabout2 MW.Suchanewfacilitywillbeabletoperformtestcampaignsonmodelsupto80 mmindiameter,andmaybeusedtodevelopresearchesintheaerospacefieldofthehypersonicplasmaflowsfromthereentrytechnologiestothevalidationofCFDcodesforthetheoreticalpredictionsofaerothermodynamicphenomena.TargetofthepresentpaperisthepresentationofresultsobtainedbymeansofCFDsimulationbyusingthewell-knownFLUENTcode,Suchacodehasbeenusedtosimulatetheaerothermodynamicfieldinsidetheconicalnozzleofthefacilitytoobtainsomeanalyticalcorrelations（fits）betweenthemainaerodynamicparametersatthenozzleexit,suchastheMachnumber,flowdensity,massflowrate,etc.andthereservoirconditionsinsidethearcheatercolumn,totalpressureandtotalenthalpy.Suchfitsallowfasttheoreticalpredictionofthefacilityoperationparametersforgivenreservoirconditions.

ArticleOutline

1.Introduction

2.Facilitydescription

3.Facilityoperatingconditions

4.CFDanalysis

5.Results

6.Conclusions

References

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39

Recentadvancesonsurfacegrounddeformationmeasurementbymeansofrepeatedspace-borneSARobservations  OriginalResearchArticle

JournalofGeodynamics,Volume49,Issues3-4,April2010,Pages161-170

C.Prati,A.Ferretti,D.Perissin

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Abstract

Space-borneSyntheticApertureRadarinterferometry（INSAR）isawellknownwidelyusedremotesensingtechniquetogetprecise（sub-centimetric）surfacedeformationmeasurementsonlargeareas（thousandsofkm2）andhighspatialdensityofmeasurementpoints（hundredsperkm2）.Inthisworktherecenttechnologicaladvancesofthistechniquearepresented.First,ashortreviewoftheINSARbasicsisdedicatedtoreaderswhoarenotINSARspecialists.Then,ananalysisoftheimprovementofgroundmotionmeasurementofferedbymultiplerepeatedspace-borneSARobservationsgatheredbythenewgenerationofhighresolutionSARsystemsisgiven.AnexampleobtainedwiththerecentGermanTERRASAR-XsystemisshownandcomparedwiththemeasurementsobtainedwiththeelderC-bandRADARSAT-1system.Finally,apossibleprocessingofmulti-temporalanalysisofSARimagesthatallowextractinggroundmotioninformationalsofrompartiallycoherenttargetsisgiven.InthiscasethecoreideaistorelaxtherestrictiveconditionsimposedbythePermanentScattererstechnique.Theresultsobtainedindifferenttest-sitesshowanincreasedspatialdensityofarealdeformationtrendmeasurements,especiallyinextra-urbanareasatthecostofmissingmotionswithstrongvelocityvariation.

ArticleOutline

1.Introduction

2.INSARandDINSAR（differentialSARinterferometry）

2.1.MovingfromINSARtoPS

2.2.PSdataprecision

2.3.Theeffectofresolutionimprovement

3.Frompointtoarealmotionmeasurements

3.1.Multi-masterinterferogramsandtargetslife-time

4.Conclusions

References

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40

PermanentScatterersforlandslideinvestigations:

outcomesfromtheESA-SLAMproject  OriginalResearchArticle

EngineeringGeology,Volume88,Issues3-4,15December2006,Pages200-217

PaoloFarina,DavideColombo,AlfioFumagalli,FlorianMarks,SandroMoretti

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Abstract

WithintheSLAMproject（ServiceforLandslideMonitoring）,launchedin2003bytheEuropeanSpaceAgency（ESA）thePermanentScatterers（PS）technique,amulti-imageinterferometricapproach,coupledwiththeinterpretationofaerial-photosandopticalsatelliteimages,wascarriedoutforlandslideinvestigations.ThePSanalysiswasappliedataregionalscaleassupportforlandslideinventorymappingandatlocalscaleforthemonitoringofsinglewell-knownslopemovements.FortheintegrationofthePSmeasurementswithinalandslideinventorytheArnoriverbasin（Italy）waschosenastestsiteforthepresenceofahighnumberofmassmovements（todateabout300areasathighlandslideriskandmorethan27,000individuallandslidesmappedbytheinstitutionalauthorities）.About350SARimageshavebeeninterferometricallyprocessedbymeansofthePStechnique,withthedetectionofabout600,000PS.Theuseofopticalimagescontributedspatialmeaningtothepoint-wiseinformationprovidedbythePS,makingiteasiertoidentifyterrainfeaturesrelatedtoslopeinstabilityandthelandslideboundaries.Herewedescribetheemployedmethodologyanditsimpactintheupdatingofapreexistinglandslideinventory.6.8%ofthetotalnumberoflandslideswerecharacterizedbygrounddisplacementmeasurementsfromthePS:

6.1%ofalreadymappedlandslidesand0.8%ofnewunstableareasdetectedthroughthePSanalysis.Moreover,mostofthePSarelocatedinurbanareas,showingthattheproposedmethodologyissuitableforlandslidemappinginareaswithaquitehighdensityofurbanization,butthatovervegetatedareasitstillsuffersfromthelimitationsinducedbythecurrentspace-borneSARmissions（e.g.temporalde-correlation）.Ontheotherhand,theuseofInSARforthemonitoringofsingleslowlandslidesthreateningbuilt-upareashasprovidedsatisfactoryresults,allowingthemeasurementofsuperficialdeformationswithhighaccuracyonthelandslidesectorscharacterizedbyagoodradarreflectivityandcoherence.

ArticleOutline

1.Introduction

2.Studyarea

3.Datasetsandmethods

3.1.SARdatasetandinterferometricprocessing

3.2.Opticaldatasetandancillarydata

4.IntegratinglandslideinventoryandInSARdata

4.1.ApplicationofthemethodtotheArnodrainagebasin

5.Landslidedisplacementmonitoring

5.1.TheCarboniletestarea

6.Conclusions

Acknowledgements

References

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41

StudiesandapplicationsofnucleartracksinsolidsinbasicscienceandtechnologyinPakistan  OriginalResearchArticle

RadiationMeasurements,Volume43,Supplement1,August2008,PagesS571-S577

H.A.Khan,I.E.Qureshi,E.U.Khan

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AbstractAbstract|ReferencesReferences

Abstract

Thesolidstatenucleartrackdetection（SSNTD）techniqueisnowawell-establishedtoolforthedetectionofchargedparticleswithstoppingpowergreaterthanacertainthresholdvalue.Beingapassivedetectionsystem,itexistedintheformofprimordialcrystalsandhencequalifiedtoberegardedasthe‘oldest’memberofthenucleardetectionsystems.Sincetheadventofitslaboratoryusein1958,thetechniquewasadoptedbydifferentlaboratoriesatdifferenttimesallovertheworld.PakistanisoneofthecountriesthatestablishedanSSNTD-laboratoryintheearliestdevelopmentalstageofthetechnique.Consequently,significantcontributionsweremadebyasmallbutenergeticgroupofscientiststowardthemethodologyofthetechniqueaswellasitsapplicationsindiverseareassuchasnuclearphysics,cosmology,materialscience,geology,geophysics,bio-medicalphysicsandenvironmentalscience.InthisarticlewewillattempttopresentabriefsummaryoftheimportantadvancesmadeinthedevelopmentofthistechniqueanditsinnovativeapplicationsbyPakistaniresearchersinvariousfieldsofscienceandtechnology.

Aselsewhereintheworld,thetechniqueisnotubiquitousinallnuclearresearchlaboratoriesinPakistanbecauseofthewell-knownlimitationsofthedetectionsystem.However,thenumberofworkersinvolvedinresearchstudieshasbeengrowingovertheyears.Theseincludedboththefreshresearchersaswellasthosewhoshiftedfromotherresearchinterests.ThishasresultedinahealthyreinforcementofthemanpowerengagedinSSNTD-basedresearchwork.Afteraselectivepresentationoftheon-goinginvestigationsbasedontheuseofSSNTDsinPakistan,somecommentsaremadeforthepossiblefuturedirectionsofprogress.

ToputthePakistaniexperienceininternationalperspective,itisemphasizedthattheuniquefeaturesofSSNTDsarefacingseriouschallengesfromrapidadvancesinhighprecisionelectron