Imagery catalogues through STAC
Satellite and aerial products are indexed as STAC items with footprint, time, sensor and processing level, so analysts query by place and date and analysis runs next to the archive.
GCRI · Foundry
地理空间信息 系统 give every record a place: hazard grids, asset registers, boundaries and imagery brought into one frame. In this field they also carry the sharpest disclosure risks, so the work runs from coordinate reference and catalogue through to a recorded public-safe release decision.
地理空间信息 系统 capture, store, analyse and present location-referenced data. They provide the common spatial frame for combining hazard, exposure and vulnerability information. In data and compute and methods and modelling, geospatial analysis identifies where hazards overlap critical assets and vulnerable populations. It supports location-based planning across infrastructure, health and finance. The canonical description is on STEM Commons.
Satellite and aerial products are indexed as STAC items with footprint, time, sensor and processing level, so analysts query by place and date and analysis runs next to the archive.
Hazard layers are intersected with buildings, population grids and networks on a common equal-area grid, with the aggregation unit and denominators stated beside every count.
Before publication, sensitive layers are generalised, small counts are suppressed and combinations with other public data are reviewed; the release record names the person who decided.
Population density, land cover and night lights over North America, from NASA GIBS. Each layer carries its own date.
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图层 3
本页的对地观测
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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。
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Earth observation, framed on North America.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。
图层与日期
Datasets and records used by geospatial information 系统 on this platform, with the role each plays and the label its values carry. Sources are listed in 来源登记册.
| 数据 | 角色 | 标签 |
|---|---|---|
| Copernicus DEM | Terrain, drainage and inundation | 模型生成 |
| OpenStreetMap | Roads, buildings and facilities | 已报告 |
| 行政边界 | Reporting units | 已发布统计 |
| Sentinel-2 and Landsat imagery | Land cover and change | 观测 |
| Gridded population | Exposure denominators | 估算 |
团队遵循该方法时会使用的界面:其指标、状态与决策。名称为示例,数值仅作示意。
Positional and attribute accuracy are checked against surveyed control points and reference datasets. Topology rules and metadata standards ensure consistency.
| 核查 | 如何开展 |
|---|---|
| Reference system check | Every layer’s horizontal and vertical reference is declared, and transformations use EPSG definitions |
| Positional accuracy | Layers are compared with surveyed control points and the error is published with the layer |
| Topology validation | Gaps, overlaps and invalid geometries are detected before any overlay |
| Disclosure review | Published resolution and layer combinations are checked so no facility or household can be singled out |
Errors in projection, scale and data currency propagate through analysis. Aggregation to administrative units can mask local variation.
A 危害足迹 takes out co-located assets in every layer; fragmentation, dependency between layers and overload of the survivors then spread the failure. The 3D view separates the layers by depth. Teaching model with stated illustrative values, not a prediction. The map on this page shows North America; the model itself is not tied to a place.
控制措施
读数
| 步骤 | 运行中的数据中心(%) | 运行中的网络(%) | 电力运行(%) |
|---|---|---|---|
| 0 | 94 | 94 | 94 |
| 1 | 78 | 44 | 94 |
| 2 | 28 | 6 | 94 |
| 3 | 22 | 0 | 72 |
| 4 | 22 | 0 | 22 |
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
贯穿六大支柱,由 Nexus Consortium 牵头
Assembled from the Nexus Standards area profile 关键基础设施与关键实体: the hazards it names, the 系统 and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
系统与耦合
控制措施
NS-0 章程与原则NS-3 风险记录 UNI(语法、旧编码对照、分配机构)NS-9 情境 UNI(部署、实例、计划实例)NS-10 政策和条款(机器可读的义务:定义、约束、评估和执行)NS-11 验证与监测(证据、证明、零信任符合性观测)NRS-H61 危害族:级联失效(NHS-1 sys.cascade)NRS-H94 危害族:系统性网络事件(NHS-1 cyber.systemic-cyber)NRS-H107 危害族:数字基础设施集中与单一化(NHS-1 tech.digital-concentration)NRS-K31 领域包概况:国家网络韧性(DOMAIN-031)NRS-K36 领域包概况:关键基础设施(DOMAIN-036)NRS-K48 领域包概况:金融系统韧性(DOMAIN-048)观测
示例地理范围
模型、其假设、数据和不确定性,以科学家或工程师会核查的形式呈现。结构遵循已发表的方法。所取数值仅为示意,不是研究发现。
The model structure used for Geospatial infrastructure at Foundry, the assumptions it makes and how each is tested.
Ri = f(Hi, Ei, Vi, Ci)危害、风险暴露、脆弱性和应对能力EAL = ∑k pk · Lk对年概率为 pkxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error| 假设 | 为何制作 | 如何检验 |
|---|---|---|
| 在一次事件中,危害与暴露相互独立 | 使损失积分保持可计算 | 与基于联合记录拟合的 copula 进行比较 |
| 耦合在工作点附近是线性的 | 让冲击通过 A 传播 | 在线性范围之外施加扰动并比较 |
| 脆弱性曲线可以在不同地点之间迁移使用 | 很少有本地曲线可用 | 在有观测损失的地方据此进行验证 |
报告 is the Consortium’s quarterly publication. 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.
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