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Disaster and crisis · Climate and hazards

Disaster Resilience and Recovery in Reports

Risk reduction, readiness, emergency systems and recovery capacities across communities and institutions. This page shows the series it feeds, the evidence behind it and how to contribute.

Series
2
Systems
4
Methods
8
01In brief

What this area brings to the editions.

Risk reduction, readiness, emergency systems and recovery capacities across communities and institutions.

02Field

Disaster Resilience and Recovery on the map.

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

Layers 3

Hazards now, for this page

About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS Global Flood Product (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite detection; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Estimated
Source
Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
Provider
NASA SEDAC (CIESIN, Columbia University)
Licence
CC BY 4.0
Vintage
static product; Census-based estimate, static (2020)
Resolution
about 1 km grid
Uncertainty
Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds and overpass timing leave gaps)
Source
VIIRS NOAA-20 375 m (FIRMS) (NASA LANCE FIRMS)
Provider
NASA LANCE FIRMS
Licence
NASA open data
Vintage
daily; Satellite detection; clouds and overpass timing leave gaps
Newest at build
2026-10-13
Resolution
about 500 m grid
Uncertainty
Satellite hot-spot detections for the day shown, including gas flares and industrial heat; not a confirmed fire, an incident report or a warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS NOAA-20 corrected reflectance (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite image
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Estimated
Source
GPM IMERG (NASA GES DISC)
Provider
NASA GES DISC
Licence
NASA open data
Vintage
daily; Satellite estimate, near real time
Newest at build
2026-10-12
Resolution
about 2 km grid
Uncertainty
Satellite estimate, near real time. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest year GIBS publishes)
Source
MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
Provider
NASA LP DAAC
Licence
NASA open data
Vintage
yearly; Satellite classification; latest year GIBS publishes
Newest at build
2024-01-01
Resolution
about 500 m grid
Uncertainty
Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

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 JPL OPERA DIST-ALERT

Sources 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 H3 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 H3 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 H3 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 H3 cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • 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 H3 cells where shown (modified). NASA open data
  • 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 H3 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 H3 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 H3 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 H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 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.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • 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 JPL OPERA DIST-ALERT (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 (21 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
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024

03In the editions

9 findings of the drafted editions that bear on Disaster Resilience and Recovery.

Drawn from the Baseline Edition 2026 drafts through the systems this area reads. Each opens at its anchor in its edition, with its numbered sources.

  1. AREUnited Arab EmiratesNet greenhouse-gas emissions were 195.2 Mt CO₂e in 2022 including land use, 0.8% below 2019; energy gave 164.1 Mt, industrial processes 29.6 Mt and waste 5.6 Mt, and land use removed 6.6 Mt.REPORTED · COUNTRY-ARE-CLI-001
  2. ARGArgentinaThe national inventory reports 400.9 MtCO₂e including land use for 2022, and 377.8 MtCO₂e net on the climate-contribution basis.REPORTED · COUNTRY-ARG-CLI-001
  3. AUAfrican UnionGDP was USD 2.21 trillion in 2025 and grew 4.1%, with GDP per person of USD 1,673 in current terms.REPORTED · COUNTRY-AU-FIN-009
  4. AUSAustraliaGreenhouse-gas emissions excluding land use were 591.5 Mt CO₂e in 2024, against 605.2 Mt in 2019 and 579.5 Mt in 2020.REPORTED · COUNTRY-AUS-CLI-001
  5. BRABrazilGross greenhouse-gas emissions fell 16.7% in 2024 to 2,145 Mt CO₂e, led by lower land-use change; net emissions were 1.49 Gt CO₂e. SEEG is a civil-society estimate, not the official inventory.REPORTED · COUNTRY-BRA-CLI-001
  6. CHESwitzerlandGreenhouse-gas emissions were 40.1 MtCO₂e in 2024, 27.3% below 1990 and 22.3% below when land use is included; transport emitted 13.4 MtCO₂e and international aviation and maritime a further 5.5 MtCO₂e outside the 2030 target.REPORTED · COUNTRY-CHE-CLI-001
  7. CHNChinaThe national mean temperature was 10.9 °C in 2025, 1.0 °C above the 1991 to 2020 normal and tied with 2024 as the highest since 1951; hot days averaged 16.5, the most since 1961.REPORTED · COUNTRY-CHN-CLI-001
  8. EUEuropean UnionNet domestic greenhouse-gas emissions were 40% below 1990 in 2024 and 3% below 2023; on the 2030 target basis the cut was 37%.REPORTED · COUNTRY-EU-CLI-001
  9. GS-02Global EnergyEnergy-related CO2 emissions rose about 0.4% in 2025 to a record of more than 38 Gt.REPORTED · SECTOR-ENERGY-GLOBAL-CLI-004
04Evidence path

From Foundry evidence to the series.

The evidence, step by step, from the systems this area reads to the series it feeds.

How Disaster Resilience and Recovery reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.

StepWhat happensSource
01 What it readsDisaster Resilience and Recovery reads NXS-EWS (multi-hazard monitoring and warning) and NXS-AAP (anticipatory action and triggers): governed sources with their releases, never a value without its source.
02 How it reads themDecision analysis under uncertainty and Social and behavioural science turn the evidence into findings, with assumptions and limits stated beside each value.
03 The cut is sealedEach quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt.
04 The series it feedsThe cut feeds Country Systems Risk and Resilience and Evidence Brief, from the Baseline Edition 2026 into the quarterly series.
05 Who decidesDecisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it.

A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Disaster Resilience and Recovery in Reports (2026); Disaster Resilience and Recovery home (2026).

05Series

The series it feeds, and what backs each.

SeriesFoundry systems it draws onAcademy disciplinesSeries home
Country Systems Risk and ResilienceThe Global Risks Index (NXS-GRX) one country’s dependency map and its indicator baselines
NXS-CMD (integrated posture and executive synthesis) the national portfolio of risk reduction work the edition reads against
NXS-EOP (earth observation and digital twins) exposure and change layers at subnational detail
Nexus-Based Risk Management (NRM)
Disaster risk reduction
Critical infrastructure and lifelines
Country Systems Risk and Resilience series home
Evidence BriefNXS-GRX the evidence behind one question, with its strength and gaps
NXS-POR (public, client and partner delivery) the public-safe release of a brief and its corrections
NXS-DSS (decision cases and deliberation) what the evidence settles for the decision in hand
Research, evidence and the science-policy interface
Risk communication and risk literacy
Uncertainty and decision making
Evidence Brief series home
06Backed by

The systems, methods and teaching behind it.

07Across the Consortium

Where the same subject is reported elsewhere.

09Contribute

Contribute on Disaster Resilience and Recovery.

Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.

Contribution composer

Write a contribution the editor can act on.

Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.

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  • Evidence
  • Correction
  • Case study
  • Analysis or method
  • Peer review
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  • Profile input

Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.

10Open science

Open science for Disaster Resilience and Recovery.

How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.

Disaster Resilience and Recovery’s open record

Area
Disaster Resilience and Recovery
Feeds
Country Systems Risk and Resilience, Evidence Brief
Record
A UNI for every accepted contribution; cited with its DOI in the edition that uses it
Links
isSupplementTo the edition it informs; isNewVersionOf its earlier version
Licence
CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0

Credit and identity

ORCID
Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
ROR
Your organisation by its ROR identifier, never by a typed name alone
CRediT
Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
Account
None needed to contribute; never a password

Find and follow

Search the open indexes for Disaster Resilience and Recovery; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.

Mirrors and harvest

The DOI is canonical. At release each signed bundle is also given an IPFS content identifier and a bloxberg anchor as mirrors; both are listed in the record once they exist. Zenodo exposes every record over OAI-PMH, and reviews and endorsements can arrive through COAR Notify where the repository supports it.

InvenioRDM metadata for a contribution on Disaster Resilience and Recovery, prefilled from this page
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11Latest

Releases for this area.

Releases tagged to this area appear here once released.

ReportsContribute

Send evidence on Disaster Resilience and Recovery.

Reports is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) Systems Evidence desk. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work. Sent to the wrong desk, it is forwarded, not refused.

GCRI Systems Evidence deskDisaster Resilience and RecoveryCountry Systems Risk and ResilienceEvidence Brief
Reports · GCRI

Bring what you know to the next edition.

Every quarter closes on a sealed evidence cut. Contributions received before the cut are reviewed for that edition; later ones wait for the next.

CC BY 4.0 Free to read. Text and figures: CC BY 4.0. Data: CC0 1.0. Authors keep copyright. Published by GCRI Canada.