Deliverable8.3

DisseminationToolkit

fromEVsservicesandGEOEssentialdashboardCreator A.Lehmann(UniversityofGeneva,Switzerland)

Creationdate Nov.5.2017

Duedate Nov.30.2017

Lastrevisiondate Feb.5.2018

Status Final

Type Disseminationtoolkit

Description ToolkitforexplainingthemainphasesoftheGEOEssentialproject:Generalframework,EVsgapanalysis,EVsservices,EVsworkflows,Dashboard

Right Public

Language English

Citation

Grantagreement

LehmannA,GiulianiG,MasoJ,SerralI,SpenglerD,G.NativiS,MazzettiPandPatiasP.DisseminationToolkitforEVsservicesandGEOEssentialdashboard.GEOEssentialDeliverable8.3

ERA-PLANETNo689443

TableofcontentGEOESSENTIALFRAMEWORK A1-2STAKEHOLDERENGAGEMENTANDGAPSINESSENTIALVARIABLES B1-2GEOSSANDCOPERNICUSEVSSERVICES C1-2EVSWORKFLOWS D1-2GEOESSENTIALDASHBOARD:FROMEVSTOPOLICYGOALS(SDGS) E1-2

GEOEssentialwebsite(www.geoessential.eu)ThefirstentrypointtolearnabouttheGEOEssentialprojectisitswebsite(Figure1).

Figure1GEOEssentialwebsite

GEOEssentialflyerAnewlycreatedflyerisnowavailabletodistributeduringconferenceandERA-PLANETevents(Figure2).

Figure2GEOEssentialflyer

TheGEOEssentialflyerisideallycomplementedbythefollowingsetoftwo-pagesdescribingthemainphasesoftheGEOEssentialproject:A)GEOEssentialframework;B)StakeholderengagementandgapsinEssentialVariables;C)GEOSSandCopernicusEVsservices;D)EVsworkflows;andE)GEOEssentialDashboard:FromEVstoPolicyGoals(SDGs).

A1

A)GEOEssentialframeworkThetemptationisgreat,whendefiningSDGsorotherintegratedenvironmentalindicators,toreinventthewheelinsteadofusingexistinginitiativesanddataavailableforinstancethroughtheGlobalEarthObservationSystemofSystems (GEOSS)orCopernicus services.FromanInformation, Communication and Technology perspective, data interoperability andstandardization iscritical to improvedataaccessandexchange.EffortsarebeingmadetomonitorthestateoftheenvironmentwithEssentialVariables(EVs),forinstanceintheareaofbiodiversity,water,andclimate.EVsaredefinedbyConnectinGEOas“aminimalsetofvariables that determine the system’s state and developments, are crucial for predictingsystemevolution,andallowtodefinemetricsthatmeasurethetrajectoryofthesystem”.Othersourcesofinformationthanremote-sensingareused.Thisincludestheaggregationofnational statistics, including the EU statistical agencies (Eurostat), and efforts from otherscientificcommunitiesanddatamediators.Forexample,inthebiologicaldomain,theGlobalBiodiversityInformationFacility(GBIF),CatalogueofLife(CoL),theInternationalNucleotideSequenceDatabaseCollaboration(INSDC)andothers.Alltheseexamplesdemonstratetheimportance of ICT solutions and requisite data interoperability. It highlights the criticalimportanceforintegratedenvironmentalpolicies(e.g.SDGs,IPBES)tobelinkedconceptually,operationallyandinstitutionallytoalreadyongoingefforts.Theprojectgoesbeyondsectorialapproachesandidentifiesthecross-thematicEVsforprocessanalysis.ItaddressestheFood-Water-EnergyNexus for sustainableandefficient resourcemanagementby integratedEOdataandproducts(Figure1).

Figure3GEOEssentialgeneralframework

Newsatellitesensors,datahandlingcapabilities,imageanalysistechniques,andfreeaccesstolargeandexpandingdatarepositories(e.g.GEOSS)aregreatlyimprovingtheopportunitiestomonitorenvironmentalchanges.Timelyassessmentofsuchchangesisessentialforgooddecision-makingandeffectivemanagementofnaturalresources.

ObjectivesTheprojectaimsatdemonstratingthefeasibilityandgeneralityoftheconceptofEssentialVariablesacrosstheNexusofGEOSSSocietalBenefitAreas(SBAs)byworkingon:

• Sustainableandtrustablesourcesofdataandinformationtomonitortheprogressesmadeonenvironmentalconditions;

• Cross-thematic workflows and knowledge base to evaluate, predict and monitorSustainableDevelopmentGoals(SDGs);and

• Gapsandsynergiesforaddressingtheneedsofenvironmentalpolicyinthenexusofagriculture,soil,water,biodiversity,energy,light,andrawmaterials.

Mainsteps

• FinalizetheEVsgapanalysisstartedintheConnectinGEOproject;• Identifyand/orcreateEVsdatawebservicesforamaximumofvariables;• CreatecompleteEVsworkflowsbasedonaKnowledgeBaselinkingEarthObservation

andEVs/SDGstopolicyindicatorsanddataproviders;and• PresenttheresultingEVsandIndicatorsrelationintheGEOEssentialDashboard.

ExpectedoutputsThemainexpectedoutputsofGEOEssentialaredescribedinthefollowingsectionsandthewebsite(Figure2).GEOEssentialtransformsEVsintothederivedproductsforwhichusershaveidentifiedaspecificneed.Furthermore,itprovidesaninteractivevisualizationcapabilitythatallowstheusertoexplorethedata,forexamplebydisplayingtrends,andthusfacilitatesunderstanding of the data significance, in particular for monitoring the progresstowardspoliciessuchasSDGs,IPBES,IPCC,EUpolicies,ornationalpolicies.

Figure4GEOEssentialwebsite(www.geoessential.eu)

B1

B)StakeholderengagementandgapsinEssentialVariables

Figure5EVsstatusacrossdifferentSocietalbenefitareas(www.connectingeo.net)

ThemethodologyproposedinGEOEssentialisgoingbeyondtheoutputsoftheConnectinGEOproject(www.connectingeo.net)thatidentifiedkeygapsinthedefinitionofGEOEVs(Figure5).AcleardemonstrationoftheirimplementationsandtheirextensionstootherSBAswillbeperformedtroughGEOEssential.Furthermore,theidentificationofinherentcross-thematicEVsarestillmissing.Objectives

• Address identified gaps in thedefinition and selectionof EVs linked to the above-mentioned SBAs in collaboration with the respective Communities of Practice,stakeholdersandidentifiedusers(bothintermediateandfinal);and

• DemonstratethelinkfromEVtoSDGindicatorsandderivetheexistinggaps.

MainstepsTheGEOEssentialdashboardwilllinkEVtoSDGindicators,andthentoenvironmentalpoliciesanddataproviders(in-situnetworksandair-bone/satelliteimagery)byextendingtheENEONgraphimplementedonConnectinGEO(Figure6).Inthatpreviouseffort,allexistingEuropeannetworksonin-situEOweremappedinatripletdynamicgraphbuiltonaJSONdocument.Eachnetworkwasdescribedaswellintermsofscope,SBA,domain,funding,etc.ThisworkstillneedstobeperfectedandwillbecontinuedthroughGEOEssential.

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Figure6.ENEONgraphonEuropeanin-situEOnetworks(www.eneon.net/graph)

ButthemainimprovementwithintheGEOEssentialdashboardwillbe,asafirststep,thelinkofeachnetworkidentifiedinthegraphtotheEVstheyarepotentiallyproviding.Inasecondstep,eachEVwillberelatedtoanSDGindicatorsothatdirectwaystoretrieveandmonitorSDGcanbeobtained.Thiswillcreatean“EV-SDGknowledgebase”thatwillfeedtheGEOKnowledgeBaseandtheGEOEssentialdashboard.Asathirdstep,eachEV/SDGswillbelinkedtoenvironmentalpoliciesanddata(air-borneandin-situ)providerstocompletethewholechainintheenvironmentalmonitoring.Toachieveallthis,apreliminaryworkhastobedoneinanalyzingtheexistingEVsforcurrentdomainsandsuggestingcross-domainones,orevennewonesincasetheyareneeded.Expectedoutputs

• AcompletelistofexistingEVsandaproposalfornewEVsinthosedomainswherethere’sa lackofthem.Whenpossible,cross-domainEVswillbefavored insteadofcreatingnewones.ThisworkwillstartfromConnectinGEOresultsandotherpreviousworkdonebyGEOEssentialpartners.

• Amore comprehensive and complete status on the European in-situ EOnetworksshownintheENEONgraph.

• AproposallinkagebetweennetworksandEVsaspotentiallyEVsdataproviders.• AproposallinkagebetweenEVsandSDGindicators.• AproposallinkagebetweenEVs/SDGsandenvironmentalpolicies.• An EVs-SDG Knowledge Base that will connect SDG indicators to possible EVs to

monitor them.EVs/SDGswillbe linkedtoexistingnetworks toprovide thedata toevaluatethemandtoenvironmentalpoliciescreatingacompleteKnowledgeBaseonenvironmentalmonitoringandpolicymanagement.BeyondjustsimplifyingaccesstoexistingEVs,thedashboardtransformstheseexistingEVsintothederivedproducts.

C1

C) GEOSSandCopernicusEVsservices

Figure7GEOEssentialEVsservices

Online services andplatformsareessential for anefficientuseand further acceptanceofremotesensingbasedEVsserviceproductsacrossdisciplinesandusecases.Currently thesituationsurroundingCopernicusdataservicesandEVsserviceproductsisnotwidelyknown.DifferentEuropeancountriesarecurrentlyworkingonnationalserviceplatforms(e.g.EODC)forprovidingserviceproductsthatarealsopartlyfocussingonEVs.Furthermore,numerousEuropeanandgloballeveldevelopmentsareinprogressorhavebeenplanned.Objectives

• ImprovetheavailabilityofEVsservicesfromGEOSSandCopernicusplatforms;• Definitionofcross-domainEVsforservicesandmodelling;• Assess thepotentialof synergiesbetweenground (in situ, citizen science,national

monitoring, etc.) and satellite observations for calibration, validation, dataintegration,andqualitycheck;and

• EvaluationofdifferentdatatoolsandplatformsforaccessingrecentlyprocessedandupcomingCopernicusdataandcontributingmissions.

Mainsteps

First,GEOSS,CopernicusandTEPdataproductsandserviceswillbeanalysedagainstdefinedtargetsandneedsfore.g.AichiBiodiversityTargets,FAOEssentialClimateVariables(ECVs),andGlobalClimateObservingSystem(Figure7).Gapsandlimitationfortheuseofremotesensingbasedproductstodevelopindicatorsforthatplatformwillbeanalysedbasedonthe

C2

GEOEssentialEVsgapanalysis.Potentialparametersthatwillbecheckedfortheiravailabilityas EVs are for example soilmoisture, soil organicmatter or vegetation heterogeneity forbiodiversityassessment.Secondly,GEOEssentialwillfurthermoreidentifybenefitsarisingwhenusingEOdatabeyonddomain boundaries. The cross-domain analyses of data and the identification of newprocesses aswell as the extraction of informationwill become an important issue in thefuture. In particular, the derivation of inherent cross-domain EVs gathered from thecombinationofdifferentdatasourceswillbedefinedforservicesandmodellingandthereforethe assessment of the GEOSS SBAs. EVs will be analysed for cross domain usability (e.g.GEOGLAM,GEOBON,GFOI) for different spatial and temporal scales.Highquality remotesensingbasedEVsretrievalrequiresavalidationoftheretrievedproducts.Thirdly,existingin-situobservationstandardsforvalidationofEObasedproducts,includingdataqualitystandardssuchasISO19157,UncertMLandQualityML,needtobeimplementedinto data acquisition and processing. This is not a standard nowadays. Strategies will bedefinedonhowtodealwithdifferentexistingstandards,andonhowtousethesedatajointlyforspecificEVvalidation.Ifthegapanalysisshowsmissingstandardsforspecificparameters,GEOEssentialwillproposesolutionsforthat.Theaimistoconnectin-situmeasurementswithspaceborneobservations,withafocusonhydrologicalparameters(e.g.evapotranspiration,soil moisture, groundwater levels, biogeochemical parameters of inland surface waterbodies),soilandvegetationparameters(e.g.soilorganicmatter,soilmoisture,plantwatercontent,chlorophyllcontent,vegetationcover,vegetationtype),andbiodiversityindicators(e.g.vegetationheterogeneity).ENEON-basedinsitunetworkswillbeconsideredfortestandevaluationof in-situobservationstandards,andcouldserveasaplatformforvalidationofEO-based products. The project will work closely with representatives of the JECAM,GEOBON,andGFOIsitestoanalyse, improveordefinenewprotocolsforvalidationofEO-basedproducts.Also,currentprotocolsandbestpracticesavailablethroughtheCEOSCal/Valwillbeheavilyutilizedintheproject.Finally,theprojectconsiderstheaccesstoCopernicusprocessed-dataingeneral(Sentinel+in-situ). Therefore, the status of European and national platforms for processing andprovidingSentineldatawillbeanalysed.GEOEssentialwillinvestigatethedocumentation,thealgorithm applied, the data terms and conditions for use and access, potential cloudprocessingcapabilities,andtheimplementationofalgorithmsforproductgeneration.Expectedoutputs

• GAPanalysisreportofproductsservicesandplatforms;• Reportforcross-domainEVdevelopment;• StrategypaperforimprovingRSandin-situdatacombinationforEObasedproducts

andservicesincludingstandards;and• Status report of European data processing tools and platforms and future

developments.

D1

D) EVsworkflowsTofacilitatetheimplementationofSDGagenda,thereisaclearneedtomovefromDatatoKnowledgeManagement.Thisentailsthemanagementofknowledgebodieslikeprocessingalgorithms,scientificmodels,andworkflows.Inparticular,workflowsareplayinganessentialroletosupportEVsgenerationanduse.Besides,torunworkflowsandgenerateadvancedproducts (including EVs), Data resources management is essential –e.g. discoverability,access, transformation, and use. GEOSS Platform (and in particular the GEO DABfunctionalities)willservethispurpose.The scientific business processes for the generation of EVs and related indicators can beformalizedinworkflowsspecifyingthenecessarylogicalsteps.Ashigh-levelrepresentationsofscientificbusinessprocesses,suchworkflowdescriptionsareextremelyvaluableartifactsto be stored in a knowledge base for communicating a knowledge generation process.However,theyarenotusablefortheconcretegenerationofinformation.Thetransformationoftheconceptualworkflowintoanexecutableworkflowrequiresaddingthenecessarylow-leveltechnicaldetails,suchasthesoftwarecodeimplementingtherequiredalgorithms,orthedatatransformationandadaptation.To this aim, GEOEssential will develop a GEOEssential Virtual Laboratory (GVL) themainobjectiveofwhichistogenerateexecutableworkflowsfromconceptualworkflowsstoredinadedicatedknowledgebase(Figure9).ThroughtheGVL,modeldeveloperswillbeabletouploadnewmodelsintheknowledgebase,providingthedescriptionoftherelatedscientificbusiness process, and either the source/object code or theweb service endpoint for theimplementationoftherequiredalgorithms.Ontheotherhand,end-userswillbeabletorunexistingworkflows togenerateEVsand indicators, just selecting inputdataandalgorithmversions.TheGVLwillsetupalltherequiredinteroperabilityarrangementsinanautomatedorsemi-automatedway,greatlysimplifyingdatadiscovery,datatransformationanddatausethrough workflow execution. The GVL functionalities will be exposed through a GUI forhuman-to-machineinteractionandthroughstandardserviceinterfacesandAPIsformachine-to-machineinteraction.

Figure8GeneralarchitectureoftheGEOEssentialVirtualLaboratory

D2

TheGVLwill bebasedonprevious experiences carriedout in the context ofGEO-relatedprojectsandinitiatives.Ofcourse,itwillprovideatwo-wayinteroperabilitywiththeGEOSSPlatform,accessingGEOSSdatasetsononeside,andprovidingdata,productsandworkflowdescriptiontoGEOSS(Figure9).

Figure9InteroperabilityoftheGEOEssentialVirtuallaboratoryandtheGEOSSPlatform

Objectives

• Develop specific data workflows for the generation of EVs from data (data àinformation)andindicatorsfromEVs(InformationàKnowledge);

• Setup a knowledge base of scientific business processes (workflows) for thegenerationofEVsandindicators;

• SetupaGEOEssentialVirtualLaboratoryforworkflowgenerationandexecution;• AssuretheinteroperabilityoftheGEOEssentialVirtualLaboratorywithGEOSS;and• Contribute to extend the GEOSS platform capabilities, reusing the GCI DATA

managementservices.

Mainsteps

• SetupoftheGEOEssentialVirtualLaboratoryPlatform,basedonpreviousexperienceinGEO-relatedprojectsandinitiatives(namelyH2020ECOPOTENTIAL,H2020EDGE);

• Integration of the GEOEssential Virtual Laboratory Platform and the GEOEssentialDashboard;

• DevelopmentofworkflowsforthegenerationofEVsandindicators;and• InteroperabilitytestswiththeGEOSSPlatform.

Expectedoutputs

• GEOEssential Virtual Laboratory Platformallowing: a) uploadof newworkflowsbymodeldevelopers;b)runningexistingworkflowsbyend-users;

• Accessibility of the GVL through a dedicated GUI integrated in the GEOEssentialDashboard;

• Accessibility of the GVL functionalities through standard service interfaces anddedicatedAPIs;and

• FullinteroperabilitywiththeGEOSSPlatform.

E1

E) GEOEssentialDashboard:FromEVstoPolicyGoals(SDGs)

Figure10GEOEssentialdashboard

TheGEOEssentialDashboardwillbethevisualfront-end,exposingthemajoroutputs/resultsofthedifferentthematicworkflowsonbiodiversity,ecosystems,extractives,nightlight,andthefood-water-energynexus,whileusingtheGEOSSplatformcapacities(Figure10).Throughasetofdedicatedmodules,itwillallowusersto:

(1) discoverandaccessvariousEssentialVariables;(2) trackprogressestowardsSDGsusingofficialUNstatistics;(3) computeaselectionofSDGindicatorsusingEarthObservationsdata;and(4) exploredifferentpilots’studiesrelatedtoSDGmonitoringusingEOdata(e.g.DataCubes,

ECVandEBVmonitoring).

TheGEOEssentialDashboardwilluseasmuchaspossibletheGEOSSplatformtoolssuchastheGEOSSAPI,GEOSSView,GEOSSMirrorandGEOSSWidget.GEOEssentialDashboardwilldemonstratethedatavaluechainfromEVstoindicators(e.g.,SDG).TheDashboardwillbeageneric (i.e.,applicabletoother indicators), replicable(i.e.,expandabletoothercontexts),andscalable(i.e.,nationaltoregionaltoglobal)openweb-basedplatformautomatingthetransformationofEarthObservationdataintoindicators(asgraphsor/andmaps)throughEVs.ThiswillshowthatEO,whenmatchedwithappropriate

E2

toolsandservices,cancontributefillingthegapbetweenscienceandpolicyfordecisions,managementandreporting(Figure11).Objectives

• BuildtheGEOEssentialEVsHubwithadashboardfromEVstoSDGsmakinguseofthedevelopedworkflows;and

• Simplify and promote the use of EVs across the EO Communities of Practice andbeyond.

Mainsteps

• DeterminationofcandidateEVsandworkflowstobeimplemented;• Determinationof the technical solutions to implement theworkflows (e.g.,GEOSS

platform tools), use the content ofGEOSS (e.g., discovering and access data), andcompute/generateinformationproducts;

• Implementationofthethematicworkflows;and• Implementationoftheweb-basedvisualinterface(theGEOEssentialDashboard).• Refinementandimprovementfollowingdifferentusers’feedbacks.

Expectedoutputs

• AportalcomponenttodiscoverandaccessEssentialVariables;• An indicator toolbox thatmakes use of EVs and the Knowledge base to generate

differentindicators;• Thematic workflows on biodiversity, extractives, night lights, food-water-energy

nexustodemonstratethedatavaluechainfromEVstoindicators;• PilotsstudiesusingdifferenttechnologieslikeDataCubestogenerateindicators;and• Adedicatedplatformtointegrateallthepreviouslymentionedcomponent.

Figure11GEOEssentialarchitectureandflowofrequests