1. OGC Demo at IGARSS06 July 30 - Denver, CO Telecon 11 July 2006 Liping Di, George Mason University (ldi@gmu.edu)ldi@gmu.edu Rudolf Husar, Washington University (rhusar@me.wustl.edu )

2. Helping the World to Communicate Geographically IGARSS Workshop - initial agenda Workshop Chair: Roger King, Mississippi State University

3. Helping the World to Communicate Geographically 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

4. Helping the World to Communicate Geographically Demo Scenario 1-- test 1.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.

5. Helping the World to Communicate Geographically 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

6. Helping the World to Communicate Geographically http://webapps.datafed.net/ogc_EPA.wsfl?SERVICE=wcs&RE QUEST=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 Demo Scenario 1 -- test 1.Accessing a point monitoring dataset (DataFed WCS) Hourly to Daily

7. Helping the World to Communicate Geographically Demo Scenario 1 -- test 2. Aggregating from hourly to daily average (DataFed Aggregator service) … AIRNOW pmfine avg 5000 1

8. Helping the World to Communicate Geographically Demo Scenario 1 -- test 3. Portraying as a geoimage (DataFed Render service) … 400 200 24 52 -130 - 65 0xE1FFF0 image/png pmfine 0 100 false 10 10 0 0 circle 4 false 0.5 solid red solid yellow used.symbol.width=symbol.width*norm_param_value;used.symbol.height=symbo l.height*norm_param_value;

9. Helping the World to Communicate Geographically 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&BB OX=-130,24,-65,52 &SRS=EPSG:4326&HEIGHT=200&WIDTH=400&FORMAT=image /png&LAYERS=states20m&STYLES=default&TRANSPARENT=T RUE&EXCEPTIONS=application/vnd.ogc.se_xml

10. Helping the World to Communicate Geographically Demo Scenario 1 -- test 5. Overlaying the point and satellite data. (GMU Overlay service)

11. Helping the World to Communicate Geographically Demo Scenario 2-- 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.

12. Helping the World to Communicate Geographically Demo Scenario 3-- 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. Usuage: 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.

13. Helping the World to Communicate Geographically Canada Smoke Transport to US June 27, 2006 Data Layers: Boundary (black line) Fire Pixlels (red circles) Surface PM2.5, (yellow circles) Surface Visibility, (blue circles) MODIS 1 km TrueColor Image

14. Helping the World to Communicate Geographically Demo Scenario 4-- Impact: Health Exposure, Visibility, Radiation 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. Usuage: 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.

15. Helping the World to Communicate Geographically Demo Scenario 4-- Impact: Health Exposure, Visibility, Radiation