geoss services network telecon 11 july 2006 george percivall open geospatial consortium...

GEOSS Services NetworkGEOSS Services Network

Telecon 11 July 2006Telecon 11 July 2006

George Percivall

Open Geospatial Consortium

[email protected]

mailto:[email protected]

Helping the World to CommunicateGeographically

GSN Telecon - AgendaGSN 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


The Workshop Series The Workshop Series “The User and the GEOSS Architecture”“The User and the GEOSS Architecture”

• GEOSS Workshop Series in 2006Led by IEEE; Demo by OGC using GSN

OGC leadMay 22-23 Beijing, China FIEOS (1) U.

NottinghamJuly 8-9 Corsica, France ISEIM (2) U.

NottinghamJuly 30 Denver, US IGARSS06 (3) GMUSept 25-26 Goa, India ISPRS Comm IV (4) UCLOctober 28-29 Cairo, Egypt AARSE (5) CSIRNovember 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

OGC Demo at IGARSS06OGC Demo at IGARSS06July 30 - Denver, CO July 30 - Denver, CO

Telecon 11 July 2006Telecon 11 July 2006

Liping Di, George Mason University ([email protected])

Rudolf Husar, Washington University ([email protected] )



IGARSS GEOSS Workshop - agenda, r7IGARSS GEOSS Workshop - agenda, r7• Workshop Chair: Roger King, Mississippi State University

Time Agenda Item Speaker/Lead8:30 Welcome Leung Tsang, President IEEE Geoscience and Remote Sensing Society8:35 Welcome and Logistics Roger King, Mississippi State University8:45 Overview of the Global Earth

Observation System of SystemsJosé Achache, Global Earth Observation (GEO) Secretariat Director

9:15 The GEO User Requirements Approach Gary Foley, US Environmental Protection Agency9:45 The intersection of GEOSS with emerging

air quality assessment and managementapplications

Rich Scheffe, US Environmental Protection Agency

10:15 Architectures and Technologies for Agile,User-Oriented Air Quality Data Systems

Rudolf Husar, Washington University, St. Louis, MO and ESIP

10:45 Break11:15 Observation Convergence and Data

Integration Contributing to ClimateVariability and Change

Toshio Koike, University of Tokyo

11:45 Alaska Satellite Facility: A Data Provider’sProspective on the Challenges FacingClimate Change Research

Nettie La Belle-Hamer, Alaska Satellite Facility

12:15 Lunch13:15 Background and on-going activities of the

Architecture and Data of GEOSSJay Pearlman, Boeing

13:45 Open standards for GEOSS Interoperability George Percivall, Open Geospatial Consortium (OGC)

14:05 Concept demonstration Liping Di, George Mason University

14:25 Charter for Breakout Session Roger King, Mississippi State University14:30 Breakout Groups (4) Breakout session leaders (Scheffe, Husar, Koike, La Belle-Hamer)

Rooms: 401, 402, 302, 30315:40 Coffee Break and GEO-NETCast demo Rich Fulton - NOAA and OGC Team available for discussion during

break16:10 Breakout Reports and Panel Roger King, Chair17:00 Workshop Summary and Future Plans Jay Pearlman, Boeing17:30 UNEP- Google Earth demo Ashbindu Singh, United Nations Environment Programme18:00 Conclusion


GEOSS Workshop, GEOSS Workshop, July 30 - Denver, CO 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


Demo Scenario 1-- testDemo 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.


Demo Scenario 1Demo Scenario 1 -- -- Available Services and ToolsAvailable 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


http://webapps.datafed.net/ogc_EPA.wsfl?SERVICE=wcs&REQUEST=GetCoverage&VERSION=1.0.0&CRS=EPSG:4326&COVERAGE=AIRNOW.pmfine&FO

RMAT=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 1Demo Scenario 1 -- test -- test

1. Accessing a point monitoring dataset (DataFed WCS)

Hourly to Daily



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>



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>



4 Accessing satellite data and other data (NASA ESG WMS, DataFed WMS)

Boundary, MODIS, carbon contenthttp://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



5. Overlaying the point and satellite data. (GMU Overlay service)


AQ Scene 1-- AQ Scene 1-- Monitoring & Forecasting: AQ Status and PatternMonitoring & 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

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

Link to live Console

AQ Scene 1-- AQ Scene 1-- Monitoring & ForecastingMonitoring & Forecasting: AQ Status and : AQ Status and Pattern Pattern AQ Scene 2-- AQ Scene 2-- AnalysisAnalysis: Sources, Transport Processes: Sources, Transport Processes AQ Scene 3-- AQ Scene 3-- ImpactImpact: Health Exposure, Visibility: Health Exposure, Visibility


AQ Scene 2-- AQ Scene 2-- Analysis: Sources, Transport ProcessesAnalysis: 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.


Example AnalysesExample Analyses(more analyses views to come)(more analyses views to come)

Canada Smoke Canada Smoke Transport to USTransport to US

June 27, 2006June 27, 2006

Data Layers:Data Layers:

Boundary (black line)Boundary (black line)Fire PixlelsFire Pixlels (red circles) (red circles)

Surface PM2.5, (yellow circles) Surface PM2.5, (yellow circles) Surface Visibility, (blue circles)Surface Visibility, (blue circles)MODIS 1 km TrueColor Image MODIS 1 km TrueColor Image

Link to viewLink to view

http://webapps.datafed.net/datafed.aspx?view=gsn/060627Smoke_Firepix_Modis_RHBext_PM25_map


AQ Scene 3-- AQ Scene 3-- Impact: Health Exposure, VisibilityImpact: 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.

CIESINPopulation Density

Intex ModelSulfate AOT

Intex ModelCarbon Model

Exposure: Pop. Density (CIESIN) * Concentration (INTEX Model)


Participants in the Demo (incomplete)Participants in the Demo (incomplete)

GMU: - Demo Organization, Web Services, OrchestrationWashington 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.


GSN-Denver use of OGC NetworkGSN-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




• 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!

http://www.ogcnetwork.net/node/135





GEOSS Workshop/OGC Demo at GEOSS Workshop/OGC Demo at

ISPRS Commission IV SymposiumISPRS Commission IV Symposium

26 September, 200626 September, 2006 - Goa, India - Goa, India

Jeremy Morley

University College of London

[email protected]



GEOSS/OGC/ISRO WorkshopGEOSS/OGC/ISRO Workshop Revised Agenda, June 10,2006 Revised Agenda, June 10,2006

Time Agenda Item Speaker/Lead9:00 Welcome (Workshop

Moderator)Shailish Nayak President, ISPRS TC IV

9:10 Overview of GEOSS GEOSS Representative-IEEE (TBD bySM) Could address GEO Architecture

9:40 GEO User RequirementsApproach

Ranganath Navalgund, ISRO Can RNaddress GEO Architecture

10:10 User Interface Discussion Stan Morain, ISPRS UIC Will addressGEO applications and SocietalBenefits

10:30-11:00 Tea Break11:00 Speaker #1 WHO Regional Office SE Asia or WHO

Representative, India (TBD by SM)11:30 Speaker # 2 Prominent Drinking Water Quality

Person, India (TBD by SN)12:00 OGC: Implementing GEOSS

using Open StandardsGeorge Percivall, OGC

12:30 OGC Demo Jeremy Morely, UCL13:00 Lunch14:00 Speaker # 3: Health &GIS William Davenhall, ESRI14:30 Speaker # 4: Telemedicine

ProgrammeISRO Rep. (TBD by RN)

15:00 Break15:15 Breakout logistics Workshop Moderator: Introduce

Breakout ChairsŃShou ld be Indian orother regional experts from SE Asian(TBD by SN & SM)

15:30 Breakout Groups Meeting17:00 Breakout Groups Summary

and Future PlansBreakout Session Chairs

18:00 Conclusion


Goa demo - initial ideasGoa 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?

Persistent Demonstration Capability Persistent Demonstration Capability of OGC Networkof OGC Network


Persistent Demonstration Capability of OGC Persistent Demonstration Capability of OGC NetworkNetwork

• 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


Persistent Servers on OGC NetworkPersistent 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


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GSN Telecon - Any Other BusinessGSN 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

geoss services network telecon 11 july 2006 george percivall open geospatial consortium...

Documents

workshop summary

intersection of geoss

remote sensing symposium

geoss services network

remote sensing society8

breakout sessionroger

washington university

mississippi state university14