GCRI · Disaster Resilience and Recovery

Field overview

Disaster risk reduction and recovery studies why hazards become disasters and what societies can do about it. It spans the policies that limit exposure, the preparedness that lets institutions act, the warning systems that buy time, the response that saves lives and the recovery that decides future risk. This overview sets out why the field matters, what experts study and how it connects to the other fields of Disaster Resilience and Recovery.

STEM methods
8
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
10
Platforms in shared fields across the network
Report series
2
Reports series it contributes to
01Why it matters

Risk is built, so it can be reduced.

Disaster risk is usually described as a combination of hazard, exposure and vulnerability, set against capacity. Hazards are only partly controllable, but exposure and vulnerability are the product of decisions: where to build, how to build, who has insurance or savings, which services have backup and who is reached by warnings. That makes disaster risk a development question as much as an emergency one.

Losses fall unevenly. People in informal settlements, older and disabled people, those with limited income and those excluded from information often face higher exposure and slower recovery. Small businesses and local governments may lack the reserves to absorb shocks. Understanding that distribution is part of the science, because average losses can hide the people for whom a disaster is permanent.

02Geography

Hazards now in the Philippines.

Flood water, active fires, population density and true-colour imagery over the Philippines, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 4

Hazards now, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Hazards now, framed on the Philippines.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · U.S. Geological Survey · NASA HLS S30Sources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Live: NASA EONET Events are indicative, not authority warnings.
  • Live: U.S. Geological Survey Events are indicative, not authority warnings.
  • Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • River discharge forecast, 30 days with range (GloFAS via Open-Meteo): Contains modified Copernicus Emergency Management Service information 2026; not a flood warning.
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (20 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024

03What experts study

The disaster cycle, seen as a system.

  1. 01

    Reduction

    Land use, building codes, infrastructure standards and public investment that reduce exposure and vulnerability. See Risk reduction policy.

  2. 02

    Preparedness

    Plans, continuity arrangements, stockpiles and trained people. See Preparedness and continuity and Community and local preparedness.

  3. 03

    Warning and early action

    Whether warnings reach and move people, and how early action is triggered. See Early warning readiness and Anticipatory action.

  4. 04

    Recovery

    Reconstruction, livelihoods and the choices that shape the next disaster. See Recovery and reconstruction.

  5. 05

    Learning

    Loss accounting and exercises that turn experience into better arrangements. See Disaster loss accounting and Multi-hazard exercises.

04Monitor

Field overview.

The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.

Field overview: the screen's structure, terms and states for Disaster resilience.Example names and illustrative values; a design, not a record or a live system.
05Connections

How this field touches others.

Disasters connect hazards, infrastructure, public finance, health and governance. Dependencies and consequences maps those links.

06Pages

Pages in Field overview.

07Questions

Questions and answers.

Which methods does the field rely on?
Decision analysis, social and behavioural science, forecasting, operations research, geospatial analysis, hydrology, geoscience and structural engineering. Each is described on the STEM foundation page.
Is resilience the same as bouncing back?
Not in this field. Returning to the previous state can rebuild the same vulnerability. Resilience here includes the capacity to adapt and transform so that the next event does less harm.
Does the field cover conflict and epidemics?
Its methods apply to many crises, and compound events are part of its scope. Health emergencies and conflict have specialist communities elsewhere in the Consortium, and the platform links to them where they overlap.
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