Vegetaon Structure and Func4on - ABoVE€¦ · 21.01.2016 · Vegetaon Structure and Func4on Bruce...
Transcript of Vegetaon Structure and Func4on - ABoVE€¦ · 21.01.2016 · Vegetaon Structure and Func4on Bruce...
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Vegeta4onStructureandFunc4onBruceCook(Chair),NASAGoddardSpaceFlightCenter
MarkChopping*,MontclairStateUniv.JanEitel*,UniversityofIdaho
JohnGamon*,UniversityofAlbertaMaLhewMacander,ABR,Inc.
FranzMeyer,Univ.ofAlaska-FairbanksPaulMorin,Univ.ofMinnesota
DouglasMorton*,NASAGoddardSpaceFlightCenterSanderVeraverbeke*,Univ.ofCalifornia-Irvine
DaveVerbyla*,Univ.ofAlaska-FairbanksLeeVierling*,Univ.ofIdaho
*AlsomemberofVegeta0onDynamicsandDistribu0onWG
Poten4alPartnershipsandCollabora4ons• Localobserva,ons,communityfeedbackandstakeholderneedsare
highlyvalued!
• Educa,onalopportuni,esexistthroughNASAInternshipsandpostdocs(nextgenscien4sts)
• NASAplannedsatellitemissions(e.g.,ICESat-2,Landsat9,HyspIRI)
• Formcollabora,onsaroundairborneacquisi,onsandtargetsofopportunity(e.g.,G-LiHTdatacollectedforToklatRiverinDenaliNP;researchplots;wildernessareaswherehelicoptersarenotpermiLed)
• ParallelresearchoutsideAST(e.g.,Landsatgreening-browninganalysisbyJuandMasek,2016)
• USFS10-yearplantoinventoryforestsininteriorAlaskawithacombina4onofgroundplotsandairborneimagedata.
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Landsat-derivedAr4cTrends(JuandMasek,RSE,2016)
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SummaryofyourAIPinputcompletedthusfarandplansforadvancingyourdra]satthemee4ng
ü Fieldmeasurementefforts&expecteddatasetsü Remotesensingefforts&expectedproductsü Modelingefforts&expectedoutputso Timing&coordina4on&synergiesamongWGprojectsandbetweenWGso Iden4fieddatagaps/needso Airborneobserva4ondesires
4
Arewehavingfunyet?
NOTE:Hasbeenchallenging,givenoverlappingmembershipandsimilaritywithother
Vegeta,onDynamics&Distribu,onWG
Needhelpedi0ng!!
InteriorAK(Cook,Morton)
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ExamplesofCanopyAnalysis
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NGANextview2010©DigitalGlobe
NorthSlope(Chopping) Taiga-Tundraecotone(Eitel)
Bareeartheleva4on
polygons
Canopyheight
30m
ForestsonPermafrost
1year-oldBurn
• Asteepriverterracestoppedthe2013ChisanaRiverFireatthisloca4on.
• Unburnedremnantsoneithersideoftheriverterraceprovideanindica4onofpre-burncondi4ons.
• Standingdeadstemsaremisclassifiedhereasbroadleaftrees.
Upperterrace
burned
non-bured
standingdead
Lowerterrace
CIR
DTM
Class
E.g.,AirborneStudy• ScienceQues*on:HowdoesorganicmaLerconsump4onduringfiresinborealforestsalter
surfacetopographyandsubsidencefromsubsequentmel4ngofpermafrost?TherearefiveorsixstudyteamsinABoVEthatspecificallytargetfireinborealforests,includingbothshortandlong-termchangesincarbonstocks,ecosystemstructure,andforestcomposi4on.Airbornedataacquisi4on,especiallyseasonalcoverage,wouldbeveryimportanttodifferen4atepost-firechangesduetoorganicmaLerconsump4on(Closses)fromsurfaceeleva4onchangesduetomel4ng/subsidence.IntalkingwithMichelleMack,appreciablemel4ngcanoccurduringthesameseason,especiallyforMay-JunefiresinAlaska.AirborneremotesensingdatacouldbeveryhelpfultobeLerconstraintheseprocesses,especiallyifachronosequenceofrecentfirescouldbeflownearly,mid,andlateinthegrowingseason.
• Likelyareasofinterest:Yellowknife,InteriorAK(TananaorYukonwatersheds),YKDelta
• Airbornedata:smallfootprintlidardata,high-resolu4on(≤1m)imageryforcontext(airphotos,hyperspectral,thermalorothermul4-spectraldataintheVNIR/SWIRregion).Thesensor(s)ofinterestwoulddependonthespecificques4onsofinterestforcharacterizingfireeffects(e.g.,groundcovercomposi4on,forestcomposi4on,orcharacteris4csofburnseverity).
• Campaignmode:Seasonaldatacollec4on,withrepeatedflightsoveraselectedchronosequenceofrecentfires.
• Targetsofopportunity:Possibilitytocollectpre-postfiredataforburnsin2017,ifflightcondi4onspermitdataacquisi4oninthelikelypathofac4velyburningfires.