Reports · GCRI · Established
Industry and robotics · Work and skills · Trade, resources and supply chains
Reports 中的先进产业与机器人
不断变化的生产 系统. This page shows the series it feeds, the evidence behind it and how to contribute.
- 系列
- 2
- 系统
- 3
- 方法
- 8
Advanced Industry and Robotics on the map.
交互式地图需要JavaScript;图层列表和来源见下文。
图层 3
本页面的基础设施暴露
关于本图层
- 证据
- 观测
- 来源
- VIIRS Black Marble(VNP46A2)(NASA LAADS DAAC)
- 提供方
- NASA LAADS DAAC
- 许可协议
- NASA 开放数据
- 年份版本
- 每日;卫星辐射亮度,已校正月光和大气影响
- 构建时的最新内容
- 2026-10-12
- 处理结果
- 约 500 米网格
- 不确定性
- 所示日期的卫星夜间辐射亮度;灯光是用电和停电的替代指标,并非对供应或获得电力情况的测量。
- 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
- 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
- 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
关于本图层
- 证据
- 观测(云层造成缺口)
- 来源
- MODIS Terra EVI(NASA LANCE)
- 提供方
- NASA LANCE
- 许可协议
- NASA 开放数据
- 年份版本
- 每日;卫星指数;云层造成缺口
- 构建时的最新内容
- 2026-10-13
- 处理结果
- 约 250 米网格
- 不确定性
- 截至所示日期 8 天的卫星植被指数,是栖息地状况指标;不衡量物种或生物多样性。
- 经由以下途径到达
- gibs.earthdata.nasa.gov,仅在您允许实时地图后访问
键盘操作,地图获得焦点时
按住 Ctrl 或 ⌘ 并滚动以缩放
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。
基础设施风险暴露,以德国为取景。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 Black Marble 夜间灯光,NASA 戈达德太空飞行中心;由 NASA Level-1 and Atmosphere Archive and Distribution System(LAADS DAAC)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
- 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
- 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
- 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 12 个来源:实时、预报、观测和背景)开启时会在地图上和此处显示其提供方署名;预报是模型输出,派生指数是估计值。
图层与日期
- 夜间灯光,每日:VIIRS Black Marble(VNP46A2),NASA LAADS DAAC · 2026年10月12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
- 洪水水体,3 日合成:VIIRS 全球洪水产品,NASA LANCE · 2026年10月14日
- 真彩色:VIIRS NOAA-20 校正反射率,NASA LANCE · 2026年10月13日
- 土地覆盖类型(IGBP),年度:MODIS Terra 和 Aqua 土地覆盖(MCD12Q1),NASA LP DAAC · 2024
- 增强型植被指数,滚动 8 天:MODIS Terra EVI,NASA LANCE · 2026年10月13日
9 findings of the drafted editions that bear on Advanced Industry and Robotics.
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.
- ARE阿拉伯联合酋长国At least 80% of food consumed is imported; arable land is 0.8% of land area and cereal production was about 20,000 tonnes in 2024.REPORTED · COUNTRY-ARE-FOO-007
- ARG阿根廷The 2022–23 drought cut the wheat harvest by 44% to 12.4 million tonnes and soybeans to 25 million tonnes; farm-sector losses were put at about US$33 billion.REPORTED · COUNTRY-ARG-FOO-006
- AU非洲联盟The prevalence of undernourishment was 22.3% in 2024, up from 19.3% in 2018; about 288 million people (derived).REPORTED · COUNTRY-AU-FOO-005
- AUS澳大利亚The food production index was 122.5 in 2024 against 109.4 in 2023; agricultural land was 369 million hectares in 2021–22.REPORTED · COUNTRY-AUS-FOO-009
- BRA巴西The 2025/26 grain harvest is estimated at 360.8 Mt on 83.5 million hectares, and agricultural value added grew 11.7% in 2025.REPORTED · COUNTRY-BRA-FOO-008
- CHE瑞士The Federal Council offered CHF 54 million in interest-free operating loans to farm businesses after the 2026 drought, and the contribution text sets a goal that domestic production covers at least 50% of food needs.REPORTED · COUNTRY-CHE-FOO-006
- CHN中国Grain output was 714.88 million tonnes in 2025; the FAO records 657.5 million tonnes of cereals and cereal imports well below average for 2025/26.REPORTED · COUNTRY-CHN-FOO-009
- EU欧洲联盟The Russian share of EU gas imports fell from 45% to 12% in 2025, and a regulation to phase out Russian gas has been in force since 3 February 2026.REPORTED · COUNTRY-EU-TRD-005
- GS-02全球能源The top refining country’s average share of key energy minerals rose to 72% in 2025 from 70% in 2023, excluding rare earths, and the mineral tariff codes under Chinese export controls tripled since 2023.REPORTED · SECTOR-ENERGY-GLOBAL-MIN-010
From Foundry evidence to the series.
The evidence, step by step, from the 系统 this area reads to the series it feeds.
How Advanced Industry and Robotics 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 reads | Advanced Industry and Robotics reads NXS-FAC(蓝图、构建与签名) 与 NXS-OPS(仪器、传感器与校准): governed sources with their releases, never a value without its source. | |
| 02 How it reads them | Robotics and automation and Materials science and chemistry turn the evidence into findings, with assumptions and limits stated beside each value. | |
| 03 The cut is sealed | Each 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 feeds | The cut feeds Exponential Technology and Global Sector Risk and Resilience, from the Baseline Edition 2026 into the quarterly series. | |
| 05 Who decides | Decisions 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 中的先进产业与机器人 (2026); Advanced Industry and Robotics home (2026).
The series it feeds, and what backs each.
| 系列 | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| 指数级技术 | NXS-NXQ(软件、模型与能力生命周期) the capability catalogue and fitness assessments of machine capabilities NXS-LAB(研究、实验与模拟) benchmark comparisons and experiment records for fast-changing technologies | 人工智能与机器学习 创新与前沿技术治理 量子技术 | Exponential Technology series home |
| 全球部门风险与韧性 | The Global Risks Index(NXS-GRX) one sector’s structure, dependencies and concentration measures NXS-EOP(地球观测与数字孪生) observed change in the sector’s assets and their surroundings | 贸易、供应链与地缘经济 关键基础设施 and lifelines | Global Sector Risk and Resilience series home |
The systems, methods and teaching behind it.
- NXS-FACNXS-FACNXS-FACNXS-FAC
- NXS-OPSNXS-OPSNXS-OPSRooms: Instruments, Metrology.
- NXS-LABNXS-LABNXS-LABRooms: Experiments, Benchmarks.
- STEM 方法STEM 公共资源机器人与自动化The canonical method page, with its limits.
- STEM 方法STEM 公共资源材料科学与化学The canonical method page, with its limits.
- STEM 方法STEM 公共资源过程与工业安全工程The canonical method page, with its limits.
- STEM 方法STEM 公共资源系统工程The canonical method page, with its limits.
- STEM 方法STEM 公共资源优化与运筹学The canonical method page, with its limits.
- STEM 方法STEM 公共资源传感器、物联网与观测网络The canonical method page, with its limits.
- Academy disciplineRisk Academy先进工业、制造与材料基础设施、能源与工业学院
- Academy disciplineRisk Academy技术、工业与 Natech 灾害灾害、灾难与韧性学院
- Academy disciplineRisk Academy机器人与自主系统技术与数字系统学院
- Academy disciplineRisk Academy污染与环境健康健康与社会学院
- 领域GCRI工业与机器人The field across science, governance and finance.
- 领域GCRI工作与技能The field across science, governance and finance.
- 领域GCRI贸易、资源与供应链The field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRF报告Innovation NexusShared: Industry and robotics.
- Counterpart · GRA报告Private Equity NexusShared: Industry and robotics.
- Standards areaNexus Standards软件与供应链Trust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus Standards社会与信息风险标准Governance, security and society. Parts NS-0, NS-9, NS-11, NS-12.
- Standards areaNexus Standards供应链与贸易风险Industry, trade and supply chains. Parts NS-0, NS-3, NS-9, NS-10, NS-11, NS-12.
- Standards areaNexus Standards交通、物流与供应链Industry, trade and supply chains. Parts NS-0, NS-3, NS-9, NS-11.
- Standards areaNexus Standards工业与制造业Industry, trade and supply chains. Parts NS-0, NS-9, NS-11, NS-12.
- Standards areaNexus Standards研究、学术与教育Communities, learning and contribution. Parts NS-0, NS-1, NS-2, NS-4, NS-8, NS-12.
Contribute on Advanced Industry and Robotics.
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Open science for Advanced Industry and Robotics.
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Advanced Industry and Robotics’s open record
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- Feeds
- Exponential Technology, Global Sector Risk and Resilience
- 记录
- A UNI for every accepted contribution; cited with its DOI in the edition that uses it
- 链接
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