Reports · GCRI · Established
Industry and robotics · Work and skills · Trade, resources and supply chains
Advanced Industry and Robotics in Reports
Industrial innovation, automation, robotics and process resilience in changing production systems. This page shows the series it feeds, the evidence behind it and how to contribute.
- Series
- 2
- Systems
- 3
- Methods
- 8
01In brief
What this area brings to the editions.
Industrial innovation, automation, robotics and process resilience in changing production systems.
02Field
Advanced Industry and Robotics on the map.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Infrastructure exposure, for this page
About this layer
- Evidence
- Observed
- Source
- VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
- Provider
- NASA LAADS DAAC
- Licence
- NASA open data
- Vintage
- daily; Satellite radiance, corrected for moonlight and atmosphere
- Newest at build
- 2026-10-12
- Resolution
- about 500 m grid
- Uncertainty
- Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
- 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 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
- 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
- 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
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- MODIS Terra EVI (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite index; clouds leave gaps
- Newest at build
- 2026-10-13
- Resolution
- about 250 m grid
- Uncertainty
- Satellite vegetation index for the 8 days to the date shown, a habitat condition indicator; not a measure of species or biodiversity.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
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.
Infrastructure exposure, framed on Germany.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 Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); 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
- 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
- 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 (12 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
- Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 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
- Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
03In the editions
9 findings of the drafted editions that bear on Advanced Industry and Robotics.
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.
- AREUnited Arab EmiratesAt 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
- ARGArgentinaThe 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
- AUAfrican UnionThe prevalence of undernourishment was 22.3% in 2024, up from 19.3% in 2018; about 288 million people (derived).REPORTED · COUNTRY-AU-FOO-005
- AUSAustraliaThe 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
- BRABrazilThe 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
- CHESwitzerlandThe 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
- CHNChinaGrain 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
- EUEuropean UnionThe 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-02Global EnergyThe 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
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 Advanced Industry and Robotics reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.
| Step | What happens | Source |
|---|---|---|
| 01 What it reads | Advanced Industry and Robotics reads NXS-FAC (blueprints, builds and signing) and NXS-OPS (instruments, sensors and calibration): 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: Advanced Industry and Robotics in Reports (2026); Advanced Industry and Robotics home (2026).
05Series
The series it feeds, and what backs each.
| Series | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| Exponential Technology | NXS-NXQ (software, models and capability lifecycle) the capability catalogue and fitness assessments of machine capabilities NXS-LAB (research, experiments and simulations) benchmark comparisons and experiment records for fast-changing technologies | Artificial intelligence and machine learning Innovation and frontier technology governance Quantum technologies | Exponential Technology series home |
| Global Sector Risk and Resilience | The Global Risks Index (NXS-GRX) one sector’s structure, dependencies and concentration measures NXS-EOP (earth observation and digital twins) observed change in the sector’s assets and their surroundings | Trade, supply chains and geoeconomics Critical infrastructure and lifelines | Global Sector Risk and Resilience series home |
06Backed by
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 methodSTEM CommonsRobotics and automationThe canonical method page, with its limits.
- STEM methodSTEM CommonsMaterials science and chemistryThe canonical method page, with its limits.
- STEM methodSTEM CommonsProcess and industrial safety engineeringThe canonical method page, with its limits.
- STEM methodSTEM CommonsSystems engineeringThe canonical method page, with its limits.
- STEM methodSTEM CommonsOptimisation and operations researchThe canonical method page, with its limits.
- STEM methodSTEM CommonsSensors, IoT and observation networksThe canonical method page, with its limits.
- Academy disciplineRisk AcademyAdvanced industry, manufacturing and materialsFaculty of Infrastructure, Energy and Industry
- Academy disciplineRisk AcademyTechnological, industrial and Natech hazardsFaculty of Hazards, Disasters and Resilience
- Academy disciplineRisk AcademyRobotics and autonomous systemsFaculty of Technology and Digital Systems
- Academy disciplineRisk AcademyPollution and environmental healthFaculty of Health and Society
- FieldGCRIIndustry and roboticsThe field across science, governance and finance.
- FieldGCRIWork and skillsThe field across science, governance and finance.
- FieldGCRITrade, resources and supply chainsThe field across science, governance and finance.
07Across the Consortium
Where the same subject is reported elsewhere.
- Counterpart · GRFReportsInnovation NexusShared: Industry and robotics.
- Counterpart · GRAReportsPrivate Equity NexusShared: Industry and robotics.
- Standards areaNexus StandardsSoftware and supply chainTrust, verification and assurance. Parts NS-12, NS-11, NS-1.
- Standards areaNexus StandardsSocietal and information risk standardsGovernance, security and society. Parts NS-0, NS-9, NS-11, NS-12.
- Standards areaNexus StandardsSupply chain and trade riskIndustry, trade and supply chains. Parts NS-0, NS-3, NS-9, NS-10, NS-11, NS-12.
- Standards areaNexus StandardsTransport, logistics and supply chainsIndustry, trade and supply chains. Parts NS-0, NS-3, NS-9, NS-11.
- Standards areaNexus StandardsIndustry and manufacturingIndustry, trade and supply chains. Parts NS-0, NS-9, NS-11, NS-12.
- Standards areaNexus StandardsResearch, academia and educationCommunities, learning and contribution. Parts NS-0, NS-1, NS-2, NS-4, NS-8, NS-12.
09Contribute
Contribute on Advanced Industry and Robotics.
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.
- Evidence
- Correction
- Case study
- Analysis or method
- Peer review
- Translation
- 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 Advanced Industry and Robotics.
How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.
Advanced Industry and Robotics’s open record
- Area
- Advanced Industry and Robotics
- Feeds
- Exponential Technology, Global Sector Risk and Resilience
- 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
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- ROR
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- CRediT
- Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
- Account
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Find and follow
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Mirrors and harvest
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ReportsContribute
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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 deskAdvanced Industry and RoboticsExponential TechnologyGlobal Sector Risk and Resilience
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