AIP CFP AQ Responses

From Earth Science Information Partners (ESIP)

Summary from OGC AIP Committee

  • Primary responses: EPA, ESIP AQ Cluster, ICT4EO, ISPRA, Northrop Grumman, VIEWS, Washington Univ
  • Contributing responses: CIESIN, Compusult, ESA, ESRI, GOES-R and GMU, INCOSE, NASA World Wind, NOAA NCDC GOSIC, NOAA SNAAP
  • Topics
    • Air Quality and Human Health
    • Proposing formation of a GEOSS Air Quality Community of Practice
    • Wildland fire example
    • AIRNow system proposed with interoperable interfaces
    • user-defined areas for selected variables calculated by WPS
    • SensorWeb which might apply best to AirQuality if the air sensors
    • State of environment, emissions, and human health.
    • intercontinental pollutant transport model
    • Decision system pattern for AQ
    • Global surfaces of population counts, densities, and quality measure of population-weighted mean geographic unit area, at two scales.
    • Development of RM-ODP viewpoint descriptions

Further Analysis

EPA

Key Personnel

Phil Dickerson, EPA (attending AIP)
Tim Dye, Sonoma Technology, Inc.

Scenario

Mentioned Northern California Fires of 2008 Interested in working with GEO AIP community to refine scenario.

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
  • Interested in further definition for KML, WCS, WMS and other relevant GEO standards for air quality data.
  • Want to work with GEO AIP to develop interoperable tools and techniques to include "non-traditional" data in AIRNow
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
  • AirNow (AirNow Gateway)
  • AirNow-International (AirNow Info-service)
Test Facility

ESIP AQ Cluster

Key Personnel

Scenario

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
Test Facility

ICTeEO

Key Personnel

  • Dr A Vahed, Meraka Institute, CSIR
  • Deshendran Moodley, School of Computer Science, University of KwaZulu-Natal
  • Dr. Andreas Wytzisk, 52 North

Scenario

  • Sub-Saharan Africa fires

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
  • Global TRMM precipitation anomolies
  • Global EO-1 imagery
  • Landsat-based high resolution model of Mozambique region
  • SRTM DEM
  • Envisat radar
  • Real time weather data and forecasts from the South African Weather Service
  • potentially Mozambique National Institue of Meterolology
Sensors and Models Access: service, schema, encoding
  • OGC Sensor Web Services
  • potentially fire detection and dispersion model services
  • potentially fire danger index services
Workflow for derived product and alert generation
Clients
Test Facility

ISPRA

Key Personnel

  • dr. Nico Bonora
  • ing Michele Munafo

Scenario

  • emissions
  • human health
  • territory monitoring and phenomena analysis
  • internaitonal pollutant transport
  • historical monitoring data analysis
  • urban green quantification

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
  • testing a near real-time (hourly) data access from monitoring network
  • Italian National Environmental Information System (SINA) based on the European Environment Information and Observation Network (EIONet)
  • DEM
  • land use/cover
  • administrative boundries
  • urban sprawl
  • multitemporal remote sensing coverage
  • WMS?
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
  • ISPRA web GIS portal (map visualization)
Test Facility

Northrop Grumman

Key Personnel

Scenario

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
Test Facility

VIEWS

Key Personnel

  • Shawn McClure, CIRA
  • Tom Moore WRAP (attending kick-off)

Scenario

  • intercontental pollutant transport
  • exceptional events
  • projected air quality trends

Infrastructure

Catalogues, Clearinghouse, Metadata
  • metadata management
Data Product Access: service, schema, encoding
  • data access (WMS, WFS, WCS)
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
  • visualization and analysis
Test Facility

Washington Univ

Key Personnel

Scenario

Infrastructure

Catalogues, Clearinghouse, Metadata
Data Product Access: service, schema, encoding
Sensors and Models Access: service, schema, encoding
Workflow for derived product and alert generation
Clients
Test Facility