PROTECTED AREAS from SPACE. Viewing products with data quality and geospatial user feedback
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1 PROTECTED AREAS from SPACE. Viewing products with data quality and geospatial user feedback Joan Masó
2 ECOPotential description ECOPOTENTIAL is a large European funded H2020 project that focuses on serving Protected Areas; blending Earth Observations from remote sensing and in situ measurements, data analysis and modeling of current and future ecosystem conditions and services. ECOPOTENTIAL considers cross scale geosphere biosphere interactions at regional to continental scales, addressing longterm and large scale environmental and ecological challenges. ECOPOTENTIAL focuses its activities and pilot actions on a targeted set of internationally recognized Protected Areas in Europe Protected Areas include mountain, arid, coastal and marine ecosystems
3 22+ protected areas
4 Remote sensing in ECOPotential The multispectral and multitemporal nature of the data allows deriving EO data products that are the essential variables needed for characterizing the ecosystem and biodiversity Products Leaf area index Tree cover density Biomass Surface Soil Moisture Nutrients NDVI, EVI Spectral Soil Quality Vegetation Index composition Fragmentation Surface Albedo Vegetation classification Disturbances Land Surface Temperature Habitats Gross Primary Sea Production Surface Temperature Water turbidity Vegetation wetness Digital Elevation Hydroperiod Model Vegetation height Bare Ground Snow cover Phenology Slope... Submerged macrophytes Fire occurrence Organic Matter Normalized Burn Ratio Chlorophyll a
5 Co design process based on the storylines Mountain Arid Interviews Workshops Training Coastal and Marine Variables useful for PA Tools for RS big data analytics
6 300 fulfilled requests 42 different products Generation
7 We have exposed the data as services in the web and in a map browser maps.ecopotential project.eu
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12 One stop shop for the ECOPotential Remote Sensing data
13 Nothing that I have not seen before Show me something special about maps.ecopotential project.eu
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15 I m getting impatient Show me something special about maps.ecopotential project.eu
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17 Any WMS can do that! Show me something special about maps.ecopotential project.eu
18 Time series visualization
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23 Change detection in the park
24 Sentinel 2 Analysis True color view Normalized Difference Water Index
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26 Where is the secret?
27 An uncommon WMS. In a common WMS, data is rendered in the server and transferred to the client as an image Nice? In ECOPotential we transfer arrays of numbers: coverages. The client generates an image on the flight Let s do something!
28 Why we have not done this before? We are using several HTML5 improvements: AJAX with binary transmission Binary data processed by JavaScript directly Canvas manipulating an image pixel by pixel Faster and faster JavaScript implementations
29 Data harmonization
30 Metadata documentation Producer quality: Data quality quantification User quality Geospatial user feedback Analytical tools Data download
31 Metadata
32 INSPIRE metadata has no data quality
33 Quality control at dataset level Quality ML data quality statements associated
34 QualityML
35 Quality controlled data Quality ML Doñana inundation maps associated quality
36 Quality control GUF Geospatial User Feedback NiMMbus
37 Who? What? From Which? Person/Organization The Feedback Item Resource
38 Feedback elements (1/2) Rating class FeedbackItem Comments GUF_Rating «CodeList» GUF_RatingCode class FeedbackItem + rating :GUF_RatingCode class FeedbackItem Usage Report GUF_UserComment + comment :CharacterString + motivation :GUF_MotivationCode [0..1] «CodeList» GUF_Motiv ationcode + comment + question + answer + response + justification + resolution + moderation «CodeList» GUF_ReportAspectCode GUF_UsageReport + reportaspect :GUF_ReportAspectCode [0..*] + usagedescription :MD_Usage [0..*] + discoveredissue :QCM_DiscoveredIssue [0..*] + usage + fitnessforpurpose + limitation + alternative + problem
39 Feedback elements (2/2) class FeedbackItem CharMe ideas «CodeList» GUF_SignificantEv enttypecode class FeedbackItem Citations to publications Significant Events GUF_SignificantEv ent + abstract :CharacterString + citation :CI_Citation [0..1] + extent :EX_Extent + eventtype :GUF_SignificantEventTypeCode [0..1] + hurricanenatural + volcaniceruptionnatural + elninonatural + droughtnatural + stormnatural + wildfirenatural + floodnatural + earthquakenatural + tsunaminatural + ifsevent + systemevent + satelliteanomaly + dropsondeanomaly + aircraftanomaly + buoyanomaly + shipanomaly + landstationanomaly + mobilesensoranomaly + sensoralarm Citation and responsible party information::ci_citation + title :CharacterString + alternatetitle :CharacterString [0..*] + date :CI_Date [0..*] + edition :CharacterString [0..1] + editiondate :DateTime [0..1] + identifier :MD_Identifier [0..*] + citedresponsibleparty :CI_Responsibility [0..*] + presentationform :CI_PresentationFormCode [0..*] + series :CI_Series [0..1] + othercitationdetails :CharacterString [0..*] + ISBN :CharacterString [0..1] + ISSN :CharacterString [0..1] + onlineresource :CI_OnlineResource [0..*] + graphic :MD_BrowseGraphic [0..*] Additional data quality reports class FeedbackItem Data quality:: DQ_DataQuality QualityCommon::QCM_Publication + target :CI_Citation [0..*] + abstract :CharacterString [0..1] + motivation :QCM_CitationMotivationCode [0..1] + relatedresource :CI_Citation [0..*] + scope :DQ_Scope [0..1] + category :QCM_PublicationCategoryCode
40 Quality control GUF Geospatial User Feedback NiMMbus
41 Download data:
42 Thanks project.eu/
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