ARF Disaster Relief Mapping Service. HISTORY / AGENDA ASEAN recognised need for geospatial data support humanitarian assistance/disaster relief (HADR)

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Presentation transcript:

ARF Disaster Relief Mapping Service

HISTORY / AGENDA ASEAN recognised need for geospatial data support humanitarian assistance/disaster relief (HADR) efforts Australia proposed on-line geospatial warehouse Concept co-sponsored by Singapore Proposal presented to the ARF Inter-Sessional Support Group (ISG) Meeting on 21 April Proposal recommended for Ministerial endorsement by ARF Senior Officials on 20 May Proposal endorsed by ARF Ministers on 23 July 2009.

An example of HA / DR effort in the Asia- Pacific Region: Cyclone Guba Papua New Guinea Where is relief needed ? How is relief delivered ? How is it distributed ?

Crisis Support Nation Australia ARF HA / DR Service Member Singapore Non ASEAN Nation providing Crisis Support POTENTIAL FUTURE EXTERNAL DATA FEEDS (e.g. Tsunami Warning Centre) Member Thailand A collaborative geospatial service PROPOSAL Provides common support base and reliable data to optimise HA DR operations. Contributed to and utilised by support nations. BENEFITS One stop shop Quicker response time Information sharing Expandable Voluntary

Level 1 System data: Preparing for the Crisis Pre-populated data Features Elevation Level 2 System data: Reacting to the Crisis Maintenance and densification of data Specialised data for provision of aid support Aeronautical information Vertical obstructions, navigation aids, etc Air facilities support capabilities Port facilities Level 3 System data: Future Predictive Models* Inundation/flood models Network analysis Displaced populations

1 st Level Support data: Preparing for the Crisis Pre-populated data Features, Elevation, Aeronautical Information

Level 2 System data: Reacting to the Crisis * vector files (e.g., shapefiles, MapInfo, CAD), raster files (e.g.,. Imagery: JPEG, GEOPDF, Geotiff, NITF), matrix data (Elevation data: DEM/Grid, TIN)

3 rd Level System data: Future possibilities Predictive modeling Inundation model

Demo: 1 st Level System: HA/DR portal: Operation planning: Using base - level data

Demo: 1 st level support: Operation planning: Using base - level data Name: INGHAM ICAO: YIGM LAT: S LONG:E ELEV: MAG VAR: E WAC: 1219 BEACON: N LENGTH: 5006 WIDTH: 00098

Demo: 2 nd Level System: HA/DR Event Realised: System is populated with additional data sets (Vector)

Demo: Future : HA DR Event Realised: System is populated with generic models And additional capability

AUSTRALIA / SINGAPORE PROPOSAL Set up Web Service Set up link to ARF site Single / Central data base BENEFITS Collaborative environment Information sharing Interoperability Economies and efficiencies Data acquisition, storage, and access Rapid dissemination to support nations Expandable as confidence in the site grows PARTICIPATING NATIONS RESPONSIBILITIES Full access to site Voluntarily contribute data Can decide extent of data Inundation model example

ARF HA / DR Service POTENTIAL FUTURE EXTERNAL DATA FEEDS (e.g. Tsunami warning Centre) Questions?