GEOSS Services Network Telecon 11 July 2006

1. GEOSS Services NetworkTelecon 11 July 2006 George Percivall Open Geospatial Consortium percivall@opengeospatial.org

2. GSN Telecon - Agenda • OGC Network and GEOSS - George Percivall • IGARSS Workshop in Denver - Liping Di • ISPRS Workshop in Goa - Jeremy Morley • Persistent Demonstration Capability of OGC Network - all • Any Other Business

3. The Workshop Series “The User and the GEOSS Architecture” • GEOSS Workshop Series in 2006 Led by IEEE; Demo by OGC using GSN OGC lead May 22-23 Beijing, China FIEOS (1) U. Nottingham July 8-9 Corsica, France ISEIM (2) U. Nottingham July 30 Denver, US IGARSS06 (3) GMU Sept 25-26 Goa, India ISPRS Comm IV (4) UCL October 28-29 Cairo, Egypt AARSE (5) CSIR November 8 Santiago, Chile GSDI (6)CIESIN (1) Future Intelligent Earth Observing Satellites (2) The First International Symposium on Environment Identities and Mediterranean Area (3) IEEE International Geoscience and Remote Sensing Symposium (4) International Society for Photogrammetry and Remote Sensing - Commission IV (5) African Association of Remote Sensing of the Environment (6) Geospatial Databases for Sustainable Development

4. OGC Demo at IGARSS06July 30 - Denver, CO Telecon 11 July 2006 Liping Di, George Mason University (ldi@gmu.edu) Rudolf Husar, Washington University (rhusar@me.wustl.edu )

5. Workshop Chair: Roger King, Mississippi State University IGARSS GEOSS Workshop - agenda, r7

6. GEOSS Workshop, July 30 - Denver, CO • April - Call for GSN participants • May - Develop societal benefit area scenario • May - Confirm Internet capabilities at workshop site  • May - Identify scenario specific data sources • June - Components available on-line • June - Client server testing • July - Demo scenario testing • July - On-site testing • July - Workshop

7. Demo Scenario 1-- test • Accessing a point monitoring dataset (AIRNOW, VIEWS_OL ) • Aggregating from hourly to daily average • Portraying as a geoimage • Accessing satellite data • Overlaying the point and satellite data.

8. Demo Scenario 1 -- Available Services and Tools • Data Access Services – DataFed, ESG, INRC&UF and GMU • WCS (air quality and satellite) • WMS (air quality and satellite) • Gridding Service – DataFed • Chaining (netCDF_Table in, netCDF_CF grid out) • Coverage Portrayal Service – DataFed and INRC&UF • Chaining (netCDF_CF grin in, PNG out) • Overlay Service – DataFed and GMU • Chaining (PNG & PNG in, PNG out) • Catalog Service – GMU and ESG • Register all necessary data and services • Service Chain Engine – GMU • Build service chain • Execute service chain

9. Demo Scenario 1 -- test • Accessing a point monitoring dataset (DataFed WCS) http://webapps.datafed.net/ogc_EPA.wsfl?SERVICE=wcs&REQUEST=GetCoverage&VERSION=1.0.0&CRS=EPSG:4326&COVERAGE=AIRNOW.pmfine&FORMAT=dataset-schema& BBOX=-130,24,-65,52,0,0& TIME=2006-06-27T00:00:00Z/2006-06-27T09:00:00Z &WIDTH=1000&HEIGHT=600&DEPTH=99 Hourly to Daily

10. Demo Scenario 1 -- test 2. Aggregating from hourly to daily average (DataFed Aggregator service) <TimeAggregate> <Table><TableRef>…</TableRef></Table> <Settings> <dataset_abbr>AIRNOW</dataset_abbr> <data_columns>pmfine</data_columns> <agg_oper>avg</agg_oper> <agg_limit>5000</agg_limit> <min_count>1</min_count> </Settings> </TimeAggregate>

11. Demo Scenario 1 -- test 3. Portraying as a geoimage (DataFed Render service) <Render> <Table><TableRef>…</TableRef></Table> <Settings> <image_desc> <zoom><image_width>400</image_width><image_height>200</image_height><lat_min>24</lat_min><lat_max>52</lat_max><lon_min>-130</lon_min><lon_max>-65</lon_max></zoom> <bgcolor>0xE1FFF0</bgcolor><image_format>image/png</image_format> </image_desc> <data_column>pmfine</data_column><scale_min>0</scale_min><scale_max>100</scale_max><sqrt>false</sqrt> <symbol><width>10</width><height>10</height><offset_x>0</offset_x><offset_y>0</offset_y><shape>circle</shape><num_of_sides>4</num_of_sides><baseline>false</baseline></symbol> <pen><width>0.5</width><style>solid</style><color>red</color></pen> <brush><style>solid</style><color>yellow</color></brush> <script>used.symbol.width=symbol.width*norm_param_value;used.symbol.height=symbol.height*norm_param_value;</script> </Settings> </Render>

12. Demo Scenario 1 -- test 4 Accessing satellite data and other data (NASA ESG WMS, DataFed WMS) Boundary, MODIS, carbon content http://map05.gsfc.nasa.gov/cgi-bin/geos-wms.cgi?VERSION=1.1.1&service=wms&REQUEST=GetMap&BBOX=-130,24,-65,52 &SRS=EPSG:4326&HEIGHT=200&WIDTH=400&FORMAT=image/png&LAYERS=states20m&STYLES=default&TRANSPARENT=TRUE&EXCEPTIONS=application/vnd.ogc.se_xml

13. Demo Scenario 1 -- test 5. Overlaying the point and satellite data. (GMU Overlay service)

14. AQ Scene 1-- Monitoring & Forecasting: AQ Status and Pattern AQ Scene 2-- Analysis: Sources, Transport ProcessesAQ Scene 3-- Impact: Health Exposure, Visibility AQ Scene 1-- Monitoring & Forecasting: AQ Status and Pattern • Purpose: To show the current and forecast air quality through a multi-panel console • Background: Air quality is monitored by a variety of monitors at the surface and on satellites. The data are accessible from a large array of distributed providers, but they are in different formats and use various access procedures. • Browser Tool: The status and pattern will be shown through a multi-panel console that displays the current air quality as measured by different satellite and surface sensors and simulated by forecast models. • Usage: On regular basis, the user monitors the pattern of AQ air quality through maps and time charts of key indicators, like ozone and PM2.5. When an ‘interesting’ event emerges, she drills down to higher space-time resolution, examines more parameters, explores the forecast and possibly alerts others. • Services: Each data set is accessed through WMS/WCS/WFS, Portray, Overlaid, augmented by data wrappers and adopters • Service Integration: A special client that displays data on multiple panels, allows zoom and pan, in space and time. Monitoring Console Link to live Console http://www.datafed.net/consoles/user_consoles.asp?view_states=gsn/HMS_Fire_nM_map,gsn/TOMS_OMI_AI_nM_map,gsn/SURF_MET_fbext_nM_map,gsn/AIRNOW_PMFine_grdpt_nM_map,gsn/OnEarth_JPL_nM_map,gsn/INTEX_OrganicCarbon_nM_map,gsn/NAAPS_NAM_MIX_AOT_nM_map,gsn/GOES_12_nM_map&image_width=450&image_height=200&datetime=2006-06-27T14:00:00&lat_min=30&lat_max=60&lon_min=-126&lon_max=-75&title=060627ManitobaSmoke

15. AQ Scene 2-- Analysis: Sources, Transport Processes • Purpose: To perform analysis regarding the sources and transport of air pollutants • Background: The pattern of air pollution is determined by the combined effects of emission sources, and by the interaction of transport, transformation and removal processes. The contribution of the various factors an be examined by simple analysis tools. • Analysis Tool: The analysis tool consists of display/browser of observed AQ data; source density, transport pattern and model simulations. • Usage: The analyst identifies the location of high pollution levels. Various AQ data are overlaid on top of emission density maps to see if the air resided over high pollutant emission regions. Based on satellite and model data, the analyst examines possible emissions from major fires. Given the location of high pollution values, model forecast transport simulations are displayed. • Services: Each data set is accessed through WMS/WCS/WFS, Portray, Overlaid, augmented by data wrappers and adopters. Chaining is executed at multiple servers to demonstrate interoperability. The tool is a special client. • Service Integration: A special client that allows data overlay, browsing as well as zoom and pan, in space and time.

16. Example Analyses(more analyses views to come)Canada Smoke Transport to USJune 27, 2006Data Layers:Boundary (black line)Fire Pixlels (red circles) Surface PM2.5, (yellow circles) Surface Visibility, (blue circles)MODIS 1 km TrueColor Image Link to view

17. Intex ModelCarbon Model CIESINPopulation Density Intex ModelSulfate AOT AQ Scene 3-- Impact: Health Exposure, Visibility • Purpose: Estimate the current and forecast health impact of air pollution and the human population • Background:The health impact of air pollution arises from exposure to high pollution concentrations at the surface where people reside. The exposure can be calculated from the surface concentration and from the population density • Impact Assessment Tool: The analysis tool consists of display/browser of observed AQ data, population density data and calculated population exposure data. • Usage: A air quality manager is monitoring current and forecast exposure pattern through an appropriate ‘health impact dashboard’. When the forecast exposure exceeds a threshold, the manager issues an ‘air pollution advisory’ or warning. • Services: Each data set is accessed through WMS/WCS/WFS, Portray, Overlaid, augmented by data wrappers and adopters. Chaining is executed at multiple servers to demonstrate interoperability. The tool is a special client. • Service Integration: A special client that allows data overlay, browsing as well as zoom and pan, in space and time. The resulting exposure pattern are exposed as WCS and WMS maps for further use by other clients. Exposure: Pop. Density (CIESIN) * Concentration (INTEX Model)

18. Participants in the Demo (incomplete) GMU: - Demo Organization, Web Services, Orchestration Washington U: Application Software, AQ Scenarios Suppliers of 20 + data layers (NASA, NOAA, EPA, name all suppliers) Special request to CIESIN GRUMP WCS; INTEX Model WCS (Nadine) for AQ Scene 3 Request: U Florence/CNR (THREDDS data, client, etc) AQ Analyst Users - Testers (Name users) Invitation for Participation in this GSN Network (demo + long-term): Data providers are sought to have air quality relevant data accessible through one of the OGC or related standard service interfaces. Included in this category are portals and other data access mediators. Data Integrators include service providers who can perform transformation, overlay and other processing services, service chaining and other integration services. Users of the data systems (typically air quality analysts) are key participants since they define the purpose of the demo and also evaluate its problems and merits.

19. GSN-Denver use of OGC Network • Fudy - We have updated some the GSN Denver demo pages.       • http://www.ogcnetwork.net/node/135 • http://www.ogcnetwork.net/node/137 • http://www.ogcnetwork.net/node/145 • http://www.ogcnetwork.net/node/146 • http://www.ogcnetwork.net/node/147 • A major update to the GSN Denver Demo pages will occur now that Peisheng & Co have done all this terrific work.  • Raj - At the TC last week, a good third of the working group actions included making use of OGC Network in some way. The email below is just a sample of how the vision of a member-sustained, dynamic resource is working. So I declare success!

20. GEOSS Workshop/OGC Demo at ISPRS Commission IV Symposium26 September, 2006 - Goa, India Jeremy Morley University College of London jmorley@ge.ucl.ac.uk

21. GEOSS/OGC/ISRO Workshop Revised Agenda, June 10,2006

22. Goa demo - initial ideas • Theme: public health in India, e.g., water quality • Perhaps: Demo looking at public health reporting using a PDA, communicating live over a low-bandwidth link. • Use of OGC specs-based demonstrator for using PDAs & low-bandwidth (telecom) links for in-field GIS. • Perhaps a combination of WMS, GeoRSS and WFS-T for sensor data on a PDA? • How to demonstrate a PDA to large audience?

23. Persistent Demonstration Capability of OGC Network

24. Persistent Demonstration Capability of OGC Network • OGC Network web pages • Purpose: For information, For access to demo • Example from Rudy - http://www.ogcnetwork.net/node/137 • Pre-recorded demo playback • Creating files screen captures • Where to host the large flash, avi files - need for guidelines, e.g. frame rate, posted to OGC Network • Live demo from OGC network • Web browser clients • Application clients, download and install on user machine: executables and open source; • Scripts: instructions, descriptions, urls • Persistent servers • Use case development, e.g., Galeon - Ben • From http://www.ogcnetwork.net, go to create content->Use Case • or: http://www.ogcnetwork.net/node/add/flexinode-1 • Example from Stefano

25. Persistent Servers on OGC Network • Important to establish expectations of server providers to accomplish reliable persistence • Length of commitment • Upon registering a service with the Network, a service provider must specify the length of time for which the service will be offered (preferably ‘unlimited’). • Consider multiple years • Level of service • services are expected to be available at least 99% of the time, except when otherwise required by the nature of the service. • This allows for approximately 7 hours of down time a month • Being achieved regularly by servers, Biggest problem is network provider • Termination • OGC may “de-list” a server from OGC Network • non-functioning components of the Network will diminish the operational and marketing value of the Network in general for all participating organizations. Excerpts from OGC Network Policy and Procedures http://www.opengeospatial.org/about/?page=ippp

26. SDI Discovery & Cataloguing tier SDI Data Access tier SDI Presentation tier SDI Dataset tier GeoTIFF DWG SHP . . . Others... netCDF ADDE HDF IDD/LDM GRIB . . . THREDDS Data Server OPeNDAP Others... HTTP SDI technological Framework - Stefano Nativi LandManag.mnt WFS Catalog services based on ISO 19115 profile Adaptaters tools Adaptaters tools Adaptaters tools WMS ES Legacy WCS Mediators & Mediators & Mediators &

27. GSN Telecon - Any Other Business • Next telecon: • 3 PM in UK, 10 am in DC, 1400 GMT • Date: Tuesday,18 July, 10-11 - To be confirmed during telecon • GSN e-mail listserv additions? • Any other business