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Jonas Eberle9th November 20151 Standard-based time-series data access and geoprocessing services for Earth cover change detection within the “Earth Observation.

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Presentation on theme: "Jonas Eberle9th November 20151 Standard-based time-series data access and geoprocessing services for Earth cover change detection within the “Earth Observation."— Presentation transcript:

1 Jonas Eberle9th November 20151 Standard-based time-series data access and geoprocessing services for Earth cover change detection within the “Earth Observation Monitor” Jonas Eberle Friedrich-Schiller-University Jena Institute for Geography, Department for Earth Observation Jena, Germany

2 Jonas Eberle9th November 20152 Data provider Web services Introduction What is necessary when developing an app based on spatial time-series data? Apps Analysis Apps Monitoring Access Data extraction Algorithm execution Supervision of time- series data and analysis

3 Jonas Eberle9th November 20153 Can GEOSS support us in accessing data?

4 Jonas Eberle9th November 20154 Service-based architecture From SAR to spatial data infrastructures4 Middleware Data Sources Climate station dataMODISLandsat NSIDCLPDAAC Google Earth Engine NOAA (GSOD, ISD, GHCN) Google Earth Engine Other data OGC WCS OGC WCPS OGC SOS Automated time-series data access Spatial database Automated time-series data monitoring Automated time-series data analysis WPSSOSWNS WPS & W*S Clients Web portals Mobile ApplicationsScripts

5 Jonas Eberle9th November 20155 WPS for data discovery Landsat and Google Earth Engine example http://artemis.geogr.uni-jena.de/cgi-bin/testbox.cgi?service=WPS&version= 1.0.0&request=Execute&identifier=gee_agu_getscenes&datainputs=[wkt=POINT( 11 51);dataset=LANDSAT/LC8_L1T;start=2013-11-01;end=2014-07-20; maxcloudcover=30] ID;Date;Cloudcover LC81940242013357LGN00;2013-12-23;5.4 LC81940242014056LGN00;2014-02-25;11.03 LC81940242014072LGN00;2014-03-13;0.2 LC81940242014136LGN00;2014-05-16;20.73 LC81940242014184LGN00;2014-07-03;1.46 LC81940242014200LGN00;2014-07-19;0.94

6 Jonas Eberle9th November 20156 WPS for data discovery Sentinel-1 ESA Data Hub – Overlapping areas http://artemis.geogr.uni-jena.de/cgi-bin/testbox.cgi?service=WPS&version= 1.0.0&request=Execute&identifier=s1_datahub_test&datainputs=[wkt=POLYGON(( 13.59 55.79, 14.72 55.84, 14.10 58.48, 13.00 58.43, 13.59 55.79)); product=GRD;maxoverlap=70]&rawdataoutput=output Title,Overlap, Link, Geometry S1A_EW_GRDM_1SDH_20150427T…, 0.94, Download, POLYGON ((...)) S1A_EW_GRDM_1SDH_20150427T…, 1.00, Download, POLYGON ((...)) S1A_EW_GRDM_1SDH_20150422T…, 0.87, Download, POLYGON ((...)) S1A_EW_GRDM_1SDH_20150415T…, 0.94, Download, POLYGON ((...)) S1A_EW_GRDM_1SDH_20150415T…, 1.00, Download, POLYGON ((...)) S1A_EW_GRDM_1SDH_20150410T…, 0.87, Download, POLYGON ((...))...

7 Jonas Eberle9th November 20157 WPS for data access MODIS Vegetation pixel time-series Output uuid: b5b17389-05d7-4058-9d87-aea05a0234d7 http://artemis.geogr.uni-jena.de/cgi-bin/testbox.cgi?service=WPS&version= 1.0.0&request=Execute&identifier=1013_single_ts_plot_point&datainputs=[dat asetName=mod13q1_evi;pointX=13.54;pointY=52.31]

8 Jonas Eberle9th November 20158 WPS for data analysis Breakpoints for vegetation time-series Trends for vegetation time-series data http://artemis.geogr.uni-jena.de/cgi- bin/testbox.cgi?service=WPS&version=1.0.0& request=Execute&identifier=2010_single_ts_ bfast_point&datainputs=[uuid=b5b17389- 05d7-4058-9d87-aea05a0234d7] http://artemis.geogr.uni-jena.de/cgi- bin/testbox.cgi?service=WPS&version=1.0.0& request=Execute&identifier=3010_single_ts_ greenbrown_point&datainputs=[uuid=b5b17389 -05d7-4058-9d87-aea05a0234d7]

9 Jonas Eberle9th November 20159 Use case: Earth Observation Monitor Vegetation time-series data access and analysis Datasets used MODIS Vegetation product (MOD13Q1) 250m spatial & 16-daily temporal resolution Global availability using Google Earth Engine Available analysis tools Trend calculations Breakpoint detection Phenological parameters Client applications Web portal: www.earth-observation-monitor.netwww.earth-observation-monitor.net Mobile application for Android & iOS: mobileEOM

10 Jonas Eberle9th November 201510 Client Applications: MySeasons Phenology App Maps Phenology WPS GPS position Time chart User inputs Map layers MapTimeline Collect Phenology App App Data Web & Processing Server In situ DB Phenology In situ DB Phenology This application will be developed within the MyGEOSS project, which has received funding from the European Union's Horizon 2020 research and innovation programme.

11 Jonas Eberle9th November 201511 Conclusions & Recommendations OGC WPS Standardized web service specification for all kind of processing tasks Research is needed for common input/output descriptions / specifications GEOSS Linking processing services to datasets would be useful! GCI could provide a WPS client in the portal Is there a way to search for specific OGC services within GEOSS? GEOSS broker / mediatorsystem for WPS? What could be achieved for GEOSS AIP-8? Registration of WPS services in the GEOSS catalogue! Make processing services more visible to users (?)

12 Jonas Eberle9th November 201512 Thank you for your attention! Questions? Contact information: Jonas Eberle Friedrich-Schiller-University Institute for Geography Department Earth Observation Loebdergraben 32 07743 Jena, Germany phone: +49 3641 94 88 89 email: jonas.eberle@uni-jena.de

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