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Earth Observation application to

Disaster Risk ManagementPresenter: Abby Baca, GFDRR Labs

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Our mission is to use

science, technology and

innovation to inform

decision making; to reduce

the vulnerability of the

developing world to disasters

in a changing climate

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DRM cycle

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DRM cycle

Situational

Awareness

Post Disaster Needs Assessment

Monitoring

Weather and

Land Conditions

Risk

Assessment

Monitoring

Reconstruction

Data Preparedness

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DRM cycle

Situational

Awareness

Post Disaster Needs Assessment

Monitoring

Weather and

Land Conditions

Risk

Assessment

Monitoring

Reconstruction

Data Preparedness

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DRM cycle

Situational

Awareness

Post Disaster Needs Assessment

Monitoring

Weather and

Land Conditions

Risk

Assessment

Monitoring

Reconstruction

Data Preparedness

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DRM cycle

Situational

Awareness

Post Disaster Needs Assessment

Monitoring

Weather and

Land Conditions

Risk

Assessment

Monitoring

Reconstruction

Data Preparedness

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DRM cycle

Situational

Awareness

Post Disaster Needs Assessment

Monitoring

Weather and

Land Conditions

Risk

Assessment

Monitoring

Reconstruction

Data Preparedness

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Obtaining the EO image is just one step.

The image is just the beginning

• The problem clearly define

• Client with capacity

• Computational capacity

• Share the data

• Community and tools i.e. OSM

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DRM cycle

Situational

Awareness

Post Disaster Needs Assessment

Monitoring

Weather and

Land Conditions

Risk

Assessment

Monitoring

Reconstruction

Data Preparedness

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Situational Awareness

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DRM cycle

Situational

Awareness

Post Disaster Needs Assessment

Monitoring

Weather and

Land Conditions

Risk

Assessment

Monitoring

Reconstruction

Data Preparedness

LabsRisk Assessment:

Input Data

HazardSoil Maps

Topography

Bathymetry

Climate Observations

Vulnerability functionsPast Event Damage

ExposureBuilding Typology

Satellite Imagery

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Hazard Assessment

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Exposure Assessment

Top Down

Bottom Up

LabsExposure:

Community Engagement

• Working directly with

communities

• Creating multi-purpose

maps: poverty mapping,

disaster preparedness,

input for risk assessment

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DRM cycle

Situational

Awareness

Post Disaster Needs Assessment

Monitoring

Weather and

Land Conditions

Risk

Assessment

Monitoring

Reconstruction

Data Preparedness

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PDNA EO Objective

To make the Post Disaster Needs

Assessment (PDNA) process more

efficient and accurate by providing

remote sensed based validation services

to the PDNA teams

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DNA: Chile

• 8.8 Magnitude

offshore earthquake

• Dichato, Tome

• 50 miles south of

epicenter

• Used pre and post

imagery to assess

the damage

Labs Remote Damage Assessment

Chile

GFDRR is able to help developing countries reduce their vulnerability to natural disasters and adapt to climate change, thanks to the continued support of our partners: ACP Secretariat,

Australia, Bangladesh, Belgium, Brazil, Canada, Denmark, European Commission, Finland, France, Germany, Haiti, India, International Federation of Red Cross and Red Crescent Societies,

Ireland, Italy, Japan, Luxembourg, Malawi, Mexico, the Netherlands, New Zealand, Norway, Saudi Arabia, Senegal, South Africa, South Korea, Spain, Sweden, Switzerland, Turkey, United

Kingdom, United Nations Development Programme, United States, UN International Strategy for Disaster Reduction, Vietnam, the World Bank, and Yemen.

Image before

LabsIdentify the buildings

LabsImage after

Labs Remote Damage Assessment

Chile

GFDRR is able to help developing countries reduce their vulnerability to natural disasters and adapt to climate change, thanks to the continued support of our partners: ACP Secretariat,

Australia, Bangladesh, Belgium, Brazil, Canada, Denmark, European Commission, Finland, France, Germany, Haiti, India, International Federation of Red Cross and Red Crescent Societies,

Ireland, Italy, Japan, Luxembourg, Malawi, Mexico, the Netherlands, New Zealand, Norway, Saudi Arabia, Senegal, South Africa, South Korea, Spain, Sweden, Switzerland, Turkey, United

Kingdom, United Nations Development Programme, United States, UN International Strategy for Disaster Reduction, Vietnam, the World Bank, and Yemen.

Measure the damage

via the difference

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PDNA: Haiti

• Very High Resolution

Optical (15cm)

• Infrared (83cm)

• LiDAR (2pts / m2) (1m

Digital Elevation Model)

• Public Domain

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PDNA: Haiti

• Over 600 scientists and engineers

• From 23 countries

• To assess the damage building-by-building

• In under one week

500m x 500m cells

Global Earth Observation –Catastrophe Assessment Network (GEO-CAN)

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Spatial Resolution

A building in Port-au-Prince, Haiti, following the 2010

earthquake, shown with varying resolutions

~10% ~70% ~90%

Building level

damage identification

accuracy based on

subsequent ground survey

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PDNA: Pakistan

• Partnered with the

Pakistan Space Agency

(SUPARCO)

• Used radar and optical

imagery to define the

maximum flood

inundation

• Identified what districted

to assess

• Validate field collected

damage data

• Sector-by-sector

• Housing

• Agriculture

• Transportation

• Irrigation

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PDNA: the future

• Interferometric synthetic

aperture radar (InSAR)

• Rapid (1-day) damage

assessment

• Surface displacement

maps, fault trace maps,

subsurface slip models,

ground shaking

predictions

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Data Intensive

HazardSoil Maps

Topography

Bathymetry

Climate Observations

Vulnerability functionsConstruction Codes

Past Event Damage

ExposurePopulation Census

Building Typology

Construction Costs

Satellite Imagery

Communication of Risk Assessment output

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Open Risk Data Initiative

Sharing data is a critical step in

reducing risk

Freedom for others to innovate

with this data

Work with countries to enable them

manage and share their data

We need to lead by example to

create a global culture of open data

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Peak Ground Acceleration

(cm/sec^2)

Open Risk Data Initiative