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Recovery. Restoring an area, often through rebuilding and rehabilitation, then returning to mitigation measures.

Figure 2: The disaster management cycle

Roles for remote sensing

Remote sensing has many uses in disaster management, from risk modelling and vulnerability analysis, to early warning, to damage assessment (see Table 1).

Disaster	Mitigation	Preparedness	Response	Recovery
Cyclone	Risk modelling; vulnerability analysis.	Early warning; long-range climate modelling.	Identifying escape routes; crisis mapping; impact assessment; cyclone monitoring; storm surge predictions.	Damage assessment; spatial planning.
Drought	Risk modelling; vulnerability analysis; land and water management planning.	Weather forecasting; vegetation monitoring; crop water requirement mapping; early warning.	Monitoring vegetation; damage assessment.	Informing drought mitigation.
Earthquake	Building stock assessment; hazard mapping.	Measuring strain accumulation.	Planning routes for search and rescue; damage assessment; evacuation planning; deformation mapping.	Damage assessment; identifying sites for rehabilitation.
Fire	Mapping fire-prone areas; monitoring fuel load; risk modelling.	Fire detection; predicting spread/direction of fire; early warning.	Coordinating fire fighting efforts.	Damage assessment.
Flood	Mapping flood-prone areas; delineating flood-plains; land-use mapping.	Flood detection; early warning; rainfall mapping.	Flood mapping; evacuation planning; damage assessment.	Damage assessment; spatial planning.
Landslide	Risk modelling; hazard mapping; digital elevation models.	Monitoring rainfall and slope stability.	Mapping affected areas;	Damage assessment; spatial planning; suggesting management practices.
Volcano	Risk modelling; hazard mapping; digital elevation models.	Emissions monitoring; thermal alerts.	Mapping lava flows; evacuation planning.	Damage assessment; spatial planning.

Table 1: Ways remote sensing can help disaster management

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