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Disaster and crisis · Climate and hazards

Reports 中的灾害韧性与恢复

风险降低、准备、应急 系统 and recovery capacities across communities and institutions. This page shows the series it feeds, the evidence behind it and how to contribute.

Contribute on this area灾害韧性与恢复首页
系列
2
系统
4
方法
8
01In brief

What this area brings to the editions.

风险降低、准备、应急 系统 and recovery capacities across communities and institutions.

02领域

Disaster Resilience and Recovery on the map.

交互式地图需要JavaScript；图层列表和来源见下文。

图层 3

本页面的当前危害

关于本图层
证据
观测（云层造成缺口）
来源
VIIRS 全球洪水产品（NASA LANCE）
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
每日；卫星探测；云层造成缺口
构建时的最新内容
2026-10-14
处理结果
约 250 米网格
不确定性
卫星探测；云层造成缺口。卫星或模型栅格数据，按提供方发布的原样呈现。云层、条带缺口和反演误差会造成缺口和噪声；数值是指标，而非某地的测量值。
经由以下途径到达
gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
证据
估计值
来源
世界网格化人口 v4.11（NASA SEDAC（哥伦比亚大学 CIESIN））
提供方
NASA SEDAC（哥伦比亚大学 CIESIN）
许可协议
CC BY 4.0
年份版本
静态产品；基于人口普查的估算，静态（2020 年）
处理结果
约 1 公里网格
不确定性
基于人口普查的 2020 年每平方公里人口估算，作为风险暴露背景展示；不是受任何危害影响的人数。
经由以下途径到达
gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
证据
观测（云层和过境时间造成缺口）
来源
VIIRS NOAA-20 375 米（FIRMS）（NASA LANCE FIRMS）
提供方
NASA LANCE FIRMS
许可协议
NASA 开放数据
年份版本
每日；卫星探测；云层和过境时间造成缺口
构建时的最新内容
2026-10-13
处理结果
约 500 米网格
不确定性
所示日期的卫星热点探测结果，包括天然气火炬和工业热源；并非已确认的火情、事件报告或预警。
经由以下途径到达
gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
证据
观测
来源
VIIRS NOAA-20 校正反射率（NASA LANCE）
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
每日；卫星图像
构建时的最新内容
2026-10-14
处理结果
约 250 米网格
不确定性
卫星图像。卫星或模型栅格数据，按提供方发布的原样呈现。云层、条带缺口和反演误差会造成缺口和噪声；数值是指标，而非某地的测量值。
经由以下途径到达
gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
证据
估计值
来源
GPM IMERG（NASA GES DISC）
提供方
NASA GES DISC
许可协议
NASA 开放数据
年份版本
每日；近实时卫星估算
构建时的最新内容
2026-10-12
处理结果
约 2 公里网格
不确定性
近实时卫星估算。卫星或模型栅格数据，按提供方发布的原样呈现。云层、条带缺口和反演误差会造成缺口和噪声；数值是指标，而非某地的测量值。
经由以下途径到达
gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
证据
模型生成（GIBS 发布的最新年份）
来源
MODIS Terra 和 Aqua 土地覆盖（MCD12Q1）（NASA LP DAAC）
提供方
NASA LP DAAC
许可协议
NASA 开放数据
年份版本
每年；卫星分类；GIBS 发布的最新年份
构建时的最新内容
2024-01-01
处理结果
约 500 米网格
不确定性
所示年份的卫星土地覆盖类别，含农田；该分类存在已知误差，并非农场登记册。
经由以下途径到达
gibs.earthdata.nasa.gov，仅在您允许实时地图后访问

最新可用

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

正在加载最新的NASA影像。

拖动以移动。按住 Ctrl 或 ⌘ 并滚动、双指缩放或使用按钮缩放；悬停可查看指针下的数值；重置可返回该区域。

当前危害，以菲律宾为取景。NASA 发布的卫星和模型产品，各带自己的日期。它们是指标，而非对任何地点的评估。

数据：NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap 贡献者 · Natural Earth · NASA EONET · 美国地质调查局 · NASA JPL OPERA DIST-ALERT

来源与许可

  • 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 开放数据
  • 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 开放数据
  • VIIRS近实时产品（洪水、地表温度、积雪覆盖、校正反射率），NASA LANCE；影像来自NASA GIBS。颜色依据已发布的色图重绘；在显示处数值按H3单元取平均（已修改）。 NASA 开放数据
  • 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)。采用CC BY 4.0许可。颜色依据已发布的色图重绘；在显示处数值按H3单元取平均（已修改）。 doi:10.7927/H49C6VHW. CC BY 4.0
  • NASA 火情资源管理信息系统（FIRMS），VIIRS 375 m 活跃火点产品，NASA LANCE；矢量瓦片经由 NASA GIBS 提供。颜色依据已发布的色表重绘；所示之处的数值已平均到 H3 单元中（有修改）。 NASA 开放数据
  • GPM IMERG 降水，NASA 降水处理系统；由 NASA 戈达德地球科学数据与信息服务中心（GES DISC）分发；影像经由 NASA GIBS 提供。颜色依据已发布的色表重绘；所示之处的数值已平均到 H3 单元中（有修改）。 NASA 开放数据
  • 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 开放数据
  • ASTER GDEM 是 METI 和 NASA 的产品（ASTER Global Digital Elevation Model V003，NASA LP DAAC）；影像经由 NASA GIBS 提供。颜色依据已发布的色表重绘；所示之处的数值已平均到 H3 单元中（有修改）。引用格式：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 开放数据
  • 使用 Natural Earth 制作。免费矢量和栅格地图数据，见 naturalearthdata.com。 公有领域
  • © OpenStreetMap contributors (ODbL)，经由 NASA GIBS 提供（海岸线、边界、道路和地名）。颜色依据已发布的色表重绘；所示之处的数值已平均到 H3 单元中（有修改）。 ODbL
  • Blue Marble，NASA Earth Observatory；影像经由 NASA GIBS 提供。颜色依据已发布的色表重绘；所示之处的数值已平均到 H3 单元中（有修改）。 NASA 开放数据
  • 地球仪和平面地图上的背景信息：海岸线、边界、道路和地名来自 NASA GIBS 参考图层（OpenStreetMap 数据，ODbL，© OpenStreetMap contributors）；Blue Marble 影像可作为可选底图；3D 地形和高程读数来自 ASTER GDEM 高程色彩指数（5 m 至 200 m 分级，为便于辨识而作了夸张处理）。边界按已发布的样式绘制，不代表对任何领土的立场。
  • 地球仪：MapLibre GL JS 6.9.1，BSD-3-Clause，© MapLibre贡献者。
  • 实时事件：NASA Earth Observatory Natural Event Tracker（EONET）；事件仅供参考，并保留其原始来源链接。
  • 实时：NASA EONET。事件仅供参考，不是主管机构的预警。
  • 实时：美国地质调查局。事件仅供参考，不是主管机构的预警。
  • 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).
  • 河流流量预报，30天及区间（GloFAS，经Open-Meteo）：包含经修改的Copernicus Emergency Management Service 2026年信息；非洪水警报。
  • 天气数据来自 Open-Meteo.com (https://open-meteo.com/), 依据 CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). 授权。
  • 可选图层（图层列表中有 21 个来源：实时、预报、观测和背景）在开启时会在地图上和此处注明其提供方；预报是模型输出，派生指数是估算值。

图层与日期

  • 洪水水体，3 日合成：VIIRS 全球洪水产品，NASA LANCE · 2026年10月14日
  • 人口密度，2020 年：人口：哥伦比亚大学 CIESIN，世界网格化人口 v4.11（2018），NASA SEDAC， CC BY 4.0 · 静态
  • 活跃火点与热异常：VIIRS NOAA-20 375 m（FIRMS），NASA LANCE FIRMS · 2026年10月13日
  • 真彩色：VIIRS NOAA-20 校正反射率，NASA LANCE · 2026年10月13日
  • 降水率，日均值：GPM IMERG，NASA GES DISC · 2026年10月12日
  • 土地覆盖类型（IGBP），年度：MODIS Terra 和 Aqua 土地覆盖（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 系统 this area reads. Each opens at its anchor in its edition, with its numbered sources.

  1. ARE阿拉伯联合酋长国Net 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. ARG阿根廷The 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. AU非洲联盟GDP 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. AUS澳大利亚Greenhouse-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. BRA巴西Gross 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. CHE瑞士Greenhouse-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. CHN中国The 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. EU欧洲联盟Net 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-02全球能源Energy-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 系统 this area reads to the series it feeds.

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

步骤发生的事项来源
01 What it readsDisaster Resilience and Recovery reads NXS-EWS（多重危害监测与预警） 与 NXS-AAP（预期行动与触发条件）: 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: Reports 中的灾害韧性与恢复 (2026); Disaster Resilience and Recovery home (2026).

05系列

The series it feeds, and what backs each.

系列Foundry systems it draws onAcademy disciplinesSeries home
国家 系统 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（地球观测与数字孪生） exposure and change layers at subnational detail		基于 Nexus 的风险管理（NRM）
灾害 风险
关键基础设施 and lifelines		Country Systems Risk and Resilience series home
证据简报NXS-GRX the evidence behind one question, with its strength and gaps
NXS-POR（公共、客户和伙伴交付） the public-safe release of a brief and its corrections
NXS-DSS（决策案例与审议） what the evidence settles for the decision in hand		研究、证据与科学政策衔接
风险沟通 and risk literacy
不确定性与决策		Evidence Brief series home
06Backed by

The systems, methods and teaching behind it.

07联盟各方

Where the same subject is reported elsewhere.

08主题

Topic pages on Disaster Resilience and Recovery.

主题

减少风险政策

主题

预期行动

主题

早期预警准备

主题

多灾种演练

主题

准备与连续性

主题

灾害损失核算

主题

恢复与重建

主题

社区与地方准备

09贡献

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.

Your email opens with the subject and a template already filled in for GW-GCRI.

Write the contribution Deposit on Zenodo instead
  • 证据
  • 更正
  • 案例研究
  • Analysis or method
  • 同行评审
  • 转译
  • Profile input

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

10开放科学

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

区域
灾害韧性与恢复
Feeds
Country Systems Risk and Resilience, Evidence Brief
记录
A UNI for every accepted contribution; cited with its DOI in the edition that uses it
链接
isSupplementTo the edition it informs; isNewVersionOf its earlier version
许可协议
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
账户
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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11最新

Releases for this area.

Releases tagged to this area appear here once released.

报告贡献

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) 系统 证据编辑部。您对此主题的了解可以成为下一期的证据、案例或更正，署您的名，若为您本人的作品则以 CC BY 4.0 发布。若发送到错误的编辑部，会被转交，不会被拒绝。

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Around the reports at GCRI.

Reports · GCRI

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

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