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ARF Disaster Relief Mapping Service

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

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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 2009.

• Proposal recommended for Ministerial endorsement by ARF Senior Officials on 20 May 2009.

• 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 EXTERNALDATA 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

1st 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)

3rd Level System data: Future possibilities

Predictive modeling• Inundation model

Demo:

1st Level

System:

HA/DR portal:

Operation planning:

Using base - level data

Demo:1st level support:

Operation planning:

Using base - level data

Name: INGHAMICAO: YIGMLAT: S18393800LONG:E146090600ELEV: 00049MAG VAR: E007382 0104WAC: 1219BEACON: NLENGTH: 5006WIDTH: 00098

Demo:

2nd 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 EXTERNALDATA FEEDS

(e.g. Tsunami warning Centre)

Questions?