Delineation of riparian habitats from high resolution...
Transcript of Delineation of riparian habitats from high resolution...
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JeffBakerGEO565
3/14/2009
DelineationofriparianhabitatsfromhighresolutionLiDARdata:theWillamette
Riverfloodplain
Introduction
Riverfloodplainsdependuponperiodicfloodingtomaintainecosystemfunctionsrelatedto
disturbance,nutrientcycling,vegetativecommunities,andfishandwildlifehabitat.Butinmanyplaces
floodplainshavebeenalteredbyregulationofriverflows,conversiontoagriculture,anddevelopment
forindustrialandurbanuses,whichhasdegradedecosystemprocessesandservicesassociatedwith
riverfloodplains.Asaresultthereisincreasinginterestinrestoringphysicalandecologicalprocessesto
floodplains,wherepossible.
IntheWillametteBasin,Oregongovernmentagenciesandconservationorganizationshave
identifiedopportunityareasalongtheWillametteRiverforconservationandrestorationofphysicaland
ecologicalprocessesandservices(Floberg2004,Hulseetal.2002,ODFW2006).Theseconservation
opportunityareas(COA)wereidentifiedataregionalscaleasplaceswheretherearegoodopportunities
toconservehighpriorityhabitatsandspecies(ODFW2006).However,sitespecificassessmentsand
prescriptionshavenotbeencompletedfortheCOAs.
Theobjectivesofthisprojectweretobegintoidentifyandprioritizehabitatswithinthefloodplain
oftheWillametteRiverbetweenCorvallisandAlbanythatmaybesuitableforconservationor
restoration.Ageographicinformationsystem(GIS)wasusedtoanalyzetopographyandvegetationto
determinethelocationsofstreamchannelsandriparianvegetation.Theresultswillcontributeto
conservationplanningbytheGreenbeltLandTrustbasedinCorvallis,Oregon.
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StudyArea
Thestudyarea(Figure1)islocatedinthe500‐yearfloodplainofareachoftheWillametteRiver
betweenCorvallisandAlbany,Oregon.ItiswithintheconservationopportunityareaidentifiedasWV‐
04intheOregonConservationStrategy(ODFW2006)andencompasses4,438ha.Themeanannualriver
flowis4,561m3/sasmeasuredbyaUSGSstreamflowgage(14174000)locatedatthedownstreamend
ofthestudyareanearAlbany.Thedrainageareaupstreamofthegaugeis12,536squarekilometers.
Thereare9floodcontroldamslocatedupstreamofthestudyareathatregulateflowsthroughthestudy
reach.Primarylandusesincludeagriculture,sandandgravelmining,ruralresidences,openspace,and
recreation.Themajorityofthelandisprivatelyownedwithafewparcelsalongtheriverownedbythe
StateofOregonandmanagedasgreenways.
Figure1.Thestudyareaislocatedwithinthe500‐yearfloodplainoftheWillametteRiverbetweenCorvallisandAlbany,Oregon.Thestudyextentisshownasrectangleasitwasusedtoconducttheinitialrasteranalyses.Imageryis2009DOQfromOregonGeospatialEnterpriseOffice.
Corvallis
Albany
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Methods
Data
Highspatialresolutionelevationdataacquiredbylightdetectionandranging(LiDAR)wasusedto
analyzeforstreamchannelsandvegetationheightsandpatcheswithinthestudyarea.TheLiDARdata
werecollectedbyWatershedSciences,Inc.in2008and2009fortheOregonDepartmentofGeologyand
MineralIndustries(DOGAMI).Horizontalgridcellsmeasure0.9144mby0.9144mandmeanvertical
offsetsvaryfrom0.009mto0.033masmeasuredbycomparingtheLiDARelevationswithmeasured
ground‐controlpoints(DOGAMI2009a,DOGAMI2009b,DOGAMI2009c).Dataweredownloadedfrom
theOregonGeospatialEnterpriseOfficeFTPserverat
ftp://159.121.106.159/elevation/lidar/WillametteValley_LiDAR/.
AdditionalGISlayersusedforthisprojectincluded100and500yearfloodplainsandaerialimagery.
ThefloodplainlayerwasderivedfromtheFederalFloodInsuranceRateMapsandwasdownloaded
fromtheOregonGeospatialEnterpriseOfficewebsiteat
http://www.oregon.gov/DAS/EISPD/GEO/sdlibrary.shtml.Aerialimageryflownin2009wasobtained
fromtheOregonGeospatialEnterpriseOfficeFTPserverftp://159.121.106.159/imagery/CCM2009/.
AlldatalayerswereprojectedusingtheNAD1983LambertConformalConiccoordinatesystem.
StudyExtentandArea
TheextentofthestudyareawasdefinedintheGISwitharectanglethatencompassedthe500year
floodplainbetweenCorvallisandAlbanywiththeeastandwestboundariesplacedattheapproximate
locationsoftheVanBurenStreetBridgeinCorvallisandtheHighway20BridgeinAlbany.Therectangle
studyextentwasusedforclippingandanalysisoftherasterlayersderivedfromtheLiDARdata.The
studyareawasthenfurtherrefinedbyclippingresultstotheboundariesofthe500yearfloodplain.The
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500yearfloodplainwasclippedtothestudyrectangleextentandeditedinArcGIS9.3.1toremove
tributaryfloodplainsoftheWillametteRiver.
Processing
TheLiDARdatawereprovidedasbareearthandhighesthitmodelsinrasterformatinsixtiles
coveringdifferentpartsofthestudyarea.Forthisprojectthebareearthmodelisreferredtoasadigital
elevationmodel(DEM)andthehighesthitmodelisreferredtoasadigitalsurfacemodel(DSM).The
DEMsandDSMswereclippedtothestudyareaandthenarastermosaicDEMandDSMwerecreated
usingModelBuilderinArcGIS9.3.1(Figure2).
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Figure2.ThisflowchartshowstheprocessofcreatingaDSMandDEMforthestudyextent.Blueovalsrepresentinputdata,yellowrectanglesrepresenttheoperationperformed,andgreenovalsaretheoutputdatawiththefinaloutputbeingtheStudyDSMandStudyDEM.
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Analysis
AfterprocessingtheDEMandDSMtothestudyextent,streamchannelsandvegetationwere
derivedandanintersectionoverlaywascompletedtodeterminewherestreamchannelsarevegetated.
AllanalysisoperationswereperformedinArcGIS9.3.1usingModelBuilder.
StreamchannelswerederivedfromthestudyDEMusingtheWatershedDelineationModelthatis
partoftheWatershedDelineationToolboxavailablefordownloadfromESRIat
http://support.esri.com/index.cfm?fa=downloads.geoprocessing.filteredGateway&GPID=16.Thesteps
forderivingthestreamchannelsareshowninFigure3.Thethresholdforcontributingareainorderfor
astreamtobecreatedwas>=10,000cellsor9,144m2.Streamswereoutputasavectorlinefile.
Figure3.ThisflowchartshowsthestepstoderivestreamchannelsfromtheDEM.
VegetationwasderivedbysubtractingtheDEMfromtheDSMandthenreclassifyingtheresults
basedonheight.Vegetationwasclassedasheights<or>3.048m.Vegetation<3.048mwasassumed
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tobeagriculturalcropswhilevegetation>3.048mwasassumedtobenaturalormostlynative
vegetation.Thereclassifiedvegetationrasterwasconvertedtoapolygonfeatureclassandthennatural
vegetationfeatureswereselectedandoutputasaseparatefeatureclass.Thestepsforderiving
vegetationareshowninFigure4.
Figure4.ThisflowchartshowsthestepsusedtoderivevegetationfromtheDSMandDEM.
Afterderivingstreamchannelsandvegetationanintersectionoverlaywasperformedtodetermine
wherevegetationandstreamchannelsintersected.Onlyvegetation>3.048mwasusedinthisanalysis
becauseitwasassumedtobenaturalvegetationandnotagriculturalcrops.Thismodelwasconstructed
tooutputbothstreamlinesthatintersectwithvegetationpolygonsandvegetationpolygonsthat
intersectwithstreamlines,sothatbothcouldbeviewedsimultaneouslyinresultingmaps.Figure5
showsthestepsusedfortheintersectionoverlay.
Figure5.Thisflowchartshowsanintersectionoverlayofstreamsandvegetation.
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Results
Theresultsindicatethatthereareapproximately884hectaresofriparianvegetationand110
kilometersofvegetatedstreaminthefloodplainstudyarea(Table1,Figures6,7,and8).
Table1.Thelengthandareaofstreamandvegetationfeaturesinthestudyarea.
feature length(m)area(ha)
%oftotal
riparianvegetation 883.64 85%non‐riparianvegetation 154.13 15%vegetatedstreams 110,573.40 25%unvegetatedstreams 331,477.37 75%
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Figure6.Vegetatedandunvegetatedstreamsdelineatedfroma0.9144mdigitalelevationmodel.
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Figure7.Riparianandnon‐riparianvegetationderivedfrom0.9144mdigitalelevationanddigitalsurfacemodels.
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Figure8.Riparianvegetationthatintersectswithstreamchannelstotals884hectares.Theseareasmaybethemostsuitableforconservingfloodplainecologicalprocesses.
Discussion
Theresultsindicatethatmuchofthetallervegetation(>3.048m)inthefloodplainisassociated
withstreamchannels(~85%),whichforthepurposesofthisprojectisconsideredtoberiparian
communities.Theseareas,showninFigure8,wouldbethehighestpriorityforconservationbecause
theycontainstreamchannelsandintactvegetativecommunities.Streamswithoutvegetationand
vegetationwithoutpolygonswouldbeconsideredalowerprioritybecausetheaquaticandvegetative
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featuresdonotintersect.Theremainingareaofthefloodplainthatdoesnothavevegetation>3.048m
oraquaticfeatureswouldbethelowestpriorityforconservationbecauseithaslessvaluableecological
featurespresentandwouldrequirethegreatestlevelofrestoration.Theseareasaretypicallyin
agriculturalproduction.
Thereareseveralassumptionsandcaveatsthatshouldbeconsideredwiththisanalysis.Thestream
channelsdelineatedweredonesoatarelativelyfinescaleusinghighresolutionelevationdatasothat
subtledifferencesintopographyresultedinstreamsshowinginareasthatarenottypicallyconsidered
tobestreams.Insomecasesitmightbebettertoconsiderthestreamnetworkasdrainagepatterns.
Forthisanalysisithasbeenassumedthatanyvegetation>3.048misnaturalvegetationandisof
conservationinterest.However,furtheranalysismayshowthatsomepolygonscontainsomething
otherthannatural,mostlynativevegetation.Onelastimportantcaveatisthatnogroundtruthinghas
beenconductedandlittleeditinghasbeendonetoremovefeaturesfromtheanalysisthatmaynotbe
ofinterest,suchastelephonepoles.
Sourcesoferrorinthestudycouldincludemisclassificationofvegetation,incorrectdelineationof
thestreamnetwork,orerrorsintherawLiDARdata.Thereareobviouslocationswherevegetation
polygonsalongtheedgeoftheWillametteRivershouldbeclassifiedasriparianbutwerenotdueto
howtheriverwasdelineated.Theriverwasdelineatedasalinethatmeanderedbetweentheriver
bankssothatinsomeplacestherewasnointersectionofvegetationandstreamchannelswhenthere
shouldhavebeen.Essentially,theriverismuchwiderthanthelinethatwasdelineated.Therecouldbe
verticalorhorizontalerrorsassociatedwiththeLiDARdatahowevertheLiDARdatahadextensive
qualitycontrolanalysisandtheverticalerrorreportedinthemethodssectionaboveappearstobe
acceptable.
Additionalworkshouldfocusonimprovingtheaccuracyofresultsgeneratedbythisproject,adding
additionalanalysis,andprioritizingwithadditionalparameters.Editingofsomestreamchannelsand
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reclassifyingsomevegetationpolygons(e.g.theriveredgeboundaryandadjacentvegetation)using
aerialphotosorfieldvisitswouldimproveaccuracy.Additionalanalysisshouldlookatinundationlevels
andfrequenciesusingsatelliteimageryorhydrologicmodelssuchasHEC‐RAS(Ackermanetal.2009)
andaddadditionalfeatureclassessuchassoiltypes,permanentwaterbodies,andhistoricvegetation
typestohelpfurtheridentifyecologicallyimportantfeaturestoconserveorrestore.Addingaprivate
versuspublicownershiplayerwouldidentifyalreadyprotectedareastouseascoreconservationareas.
Editingandimprovingtheresultsandaddingfurtheranalysiswouldcontributetowardsadditional
prioritizationsothatconservationinvestmentscanbeoptimized.
Conclusion
TheuseofLiDARdatatoanalyzestreamchannelsandriparianvegetationintheWillametteRiver
floodplainrevealedcomplexdrainagepatternsaswellasthelocationandheightsofvegetation.With
thisnewinformationover800hectaresoffloodplainhasbeenidentifiedaspotentiallysuitablefor
restoringecologicalandphysicalprocessesintheWillametteRiverfloodplain.Furtheranalysisshould
helptonarrowthefocustotheverybestareasinwhichtoinvestlimitedconservationresources.
ReferencesCited
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