Osservazione della Terra e sistemi spaziali
Dipendenza dai satelliti per navigazione, comunicazioni e osservazione; congestione orbitale, detriti ed esposizione alla meteorologia spaziale.
1
Esposizione alla meteorologia spaziale
56
3 index domains
18
Space and near-Earth · Frontier and exponential technology.
64
Hazard science · Critical infrastructure and industrial systems.
Scope and questions
The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.
- Which services depend on space systems?
- How exposed are orbits to congestion and debris?
- What would a severe space-weather event disable?
Domain indices to the series index
The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.
How the Earth observation and space systems index is built
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Esposizione alla meteorologia spazialeDomain index · IDX · SPC0–10 index of space-weather exposure as the product of the space-weather hazard and space-service dependence sub-indices; mostly modelled and expert inputs, so its grade is capped.
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Earth observation and space systems indexSeries index · SERIES · XT-07Dipendenza dai satelliti per navigazione, comunicazioni e osservazione; congestione orbitale, detriti ed esposizione alla meteorologia spaziale.
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Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
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Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
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Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Domain indices in this series
| Indice | Valore | Variazione | Variazione % | Intervallo al 90% | Classe · probabilità | Tendenza | Intervallo |
|---|---|---|---|---|---|---|---|
Esposizione alla meteorologia spazialeNXS-GRX · SPC |
– | – | – | – | – |
Domains read: Space environment, Technology and frontier, Infrastructure.
56 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
| Indicatore | Dominio | Sub-domain | Componente | Unità | Livelli | Crosswalks |
|---|---|---|---|---|---|---|
Dipendenza netta dalle importazioni di minerali criticiIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Commercio marittimo esposto ai colli di bottiglia marittimiIND.ECO.supply_chain.chokepoint_exposure |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Standard di progetto della protezione dalle alluvioniIND.HAZ.flood.flood_protection_standard |
HAZ | Flood | coping capacity | a |
COUNTRY, ADM1, CITY, SITE | |
Superficie edificataIND.HAZ.exposure.built_up_area |
HAZ | Esposizione | context | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Area edificata in zone ad alto pericoloIND.HAZ.exposure.built_up_exposed |
HAZ | Esposizione | exposure | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Densità stradaleIND.ENV.land.road_density |
ENV | Land and forests | hazard | km/km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Rifiuti solidi urbani gestiti in impianti controllatiIND.ENV.pollution.msw_controlled_management.share |
ENV | Pollution and waste | coping capacity | % |
COUNTRY, CITY | SDG 11.6.1 EPI MSW |
Flussi di acque reflue trattati in modo sicuroIND.WAT.quality.wastewater_safely_treated.share |
WAT | Water quality | coping capacity | % |
COUNTRY, CITY | SDG 6.3.1 EPI WWT |
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_days |
SPC | Meteorologia spaziale | hazard | d/a |
GLOBAL | UNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo |
Ampiezza del campo geoelettrico con periodo di ritorno di 100 anniIND.SPC.weather.geoelectric_field_rp100 |
SPC | Meteorologia spaziale | hazard | V/km |
COUNTRY, ADM1, GRID | |
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_days |
SPC | Meteorologia spaziale | hazard | d/a |
GLOBAL | UNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene |
PIL in attività dipendenti dai GNSS, quotaIND.SPC.dependence.gnss_dependent_gdp.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Servizi critici che dipendono da satelliti senza sistemi di riserva, quotaIND.SPC.dependence.satellite_service_exposure.share |
SPC | Space-service dependence | vulnerability | % |
COUNTRY | |
Rete ad alta tensione in zone ad alto pericolo geoelettrico, quotaIND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Tempo di percorrenza fino alla struttura sanitaria più vicinaIND.HLT.system.health_facility_travel_time |
HLT | Health system capacity | vulnerability | min |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Popolazione urbana, quota del totaleIND.DEM.urbanisation.urban_share |
DEM | Urbanisation | context | % |
COUNTRY | WB_WDI SP.URB.TOTL.IN.ZS |
Crescita della popolazione urbanaIND.DEM.urbanisation.urban_growth |
DEM | Urbanisation | vulnerability | % |
COUNTRY | WB_WDI SP.URB.GROW |
Popolazione urbana che vive in baraccopoliIND.DEM.urbanisation.slum_share |
DEM | Urbanisation | vulnerability | % |
COUNTRY | WB_WDI EN.POP.SLUM.UR.ZS SDG 11.1.1 |
Interruzioni di corrente subite dalle imprese in un mese tipicoIND.ENE.reliability.firm_power_outages |
ENE | Reliability | vulnerability | /mo |
COUNTRY | WB_WDI IC.ELC.OUTG |
Durata media delle interruzioni del sistema (SAIDI)IND.ENE.reliability.saidi |
ENE | Reliability | vulnerability | h/a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Frequenza media delle interruzioni del sistema (SAIFI)IND.ENE.reliability.saifi |
ENE | Reliability | vulnerability | /a |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Concentrazione dei fornitori di minerali critici importatiIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Popolazione rurale entro 2 km da una strada percorribile in ogni stagioneIND.INF.transport.rural_road_access |
INF | Transport | coping capacity | % |
COUNTRY, ADM1 | SDG 9.1.1 |
Prestazioni logisticheIND.INF.transport.logistics_performance |
INF | Transport | coping capacity | {score} |
COUNTRY | WB_WDI LP.LPI.OVRL.XQ |
Connettività del trasporto marittimo di linea rispetto alla frontieraIND.INF.transport.liner_shipping_connectivity |
INF | Transport | coping capacity | % |
COUNTRY | WB_WDI IS.SHP.GCNW.XQ |
Passeggeri aerei trasportati pro capiteIND.INF.transport.air_passengers.pc |
INF | Transport | coping capacity | {passengers}/a/{person} |
COUNTRY | WB_WDI IS.AIR.PSGR |
Popolazione urbana con comodo accesso al trasporto pubblicoIND.INF.transport.public_transport_access |
INF | Transport | coping capacity | % |
CITY, ADM1, COUNTRY | SDG 11.2.1 ISO_37120 ISO 37120:2018 |
Rete stradale e ferroviaria in zone ad alto pericolo, quotaIND.INF.transport.network_exposed.share |
INF | Transport | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Persone che utilizzano InternetIND.INF.digital.internet_users |
INF | Digital connectivity | coping capacity | % |
COUNTRY, ADM1, CITY | SDG 17.8.1 WB_WDI IT.NET.USER.ZS |
Popolazione coperta da una rete mobile, per tecnologiaIND.INF.digital.mobile_network_coverage |
INF | Digital connectivity | coping capacity | % |
COUNTRY, ADM1 | SDG 9.c.1 |
Abbonamenti alla banda larga fissa per 100 abitantiIND.INF.digital.fixed_broadband |
INF | Digital connectivity | coping capacity | /10*2 |
COUNTRY, ADM1 | SDG 17.6.1 WB_WDI IT.NET.BBND.P2 |
Ridondanza delle rotte di connettività internazionaleIND.INF.digital.international_connectivity_redundancy |
INF | Digital connectivity | coping capacity | 1 |
COUNTRY | |
Ore di interruzione di Internet su scala nazionaleIND.INF.digital.internet_disruption_hours |
INF | Digital connectivity | impact | h/a |
COUNTRY | |
Resilienza della rete elettricaIND.INF.utilities.power_grid_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Resilienza della rete di approvvigionamento idricoIND.INF.utilities.water_network_resilience |
INF | Utilities | coping capacity | {score} |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Strutture critiche con alimentazione di riserva per 72 oreIND.INF.utilities.critical_facility_backup_power |
INF | Utilities | coping capacity | % |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Infrastrutture di approvvigionamento idrico in zone ad alto pericolo, quotaIND.INF.utilities.water_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Impianti di generazione e rete elettrica in zone ad alto pericolo, quotaIND.INF.utilities.power_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Strutture salvavita in zone ad alto pericolo, quotaIND.INF.utilities.lifeline_facilities_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Divario di investimenti infrastrutturali, quota del PILIND.INF.utilities.infrastructure_investment_gap.gdp |
INF | Utilities | vulnerability | % |
COUNTRY | |
City electricity interruption hours per customerIND.INF.urban.power_interruption_hours |
INF | Urban systems | vulnerability | h/a |
CITY | ISO_37120 ISO 37120:2018 |
Unità di infrastrutture critiche danneggiate o distrutte da disastriIND.INF.disruption.critical_infrastructure_damage |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-1 SDG 11.5.2 |
Strutture sanitarie danneggiate o distrutte da disastriIND.INF.disruption.health_facilities_damaged |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-2 |
Strutture scolastiche danneggiate o distrutte da disastriIND.INF.disruption.education_facilities_damaged |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-3 |
Interruzioni dei servizi di base attribuite a disastriIND.INF.disruption.basic_service_disruptions |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-5 |
Perdita economica diretta alle infrastrutture critiche, quota del PILIND.INF.disruption.critical_infrastructure_loss.gdp |
INF | Service disruption | impact | % |
COUNTRY, ADM1 | SENDAI C-5 |
Incidenti informatici che interrompono servizi criticiIND.CYB.incidents.critical_sector_incidents |
CYB | Incidents | impact | 1 |
COUNTRY | |
Spesa interna lorda in R&S, quota del PILIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Ricercatori per milione di abitantiIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Esportazioni ad alta tecnologia, quota delle esportazioni manifatturiereIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Concentrazione dei fornitori di semiconduttori importatiIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Concentrazione dei fornitori di infrastrutture cloudIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Capacità di calcolo per l'IA sotto controllo estero o di un unico fornitoreIND.TEC.ai.ai_compute_foreign_control |
TEC | Intelligenza artificiale | vulnerability | % |
COUNTRY | |
Concentrazione dei fornitori di modelli di baseIND.TEC.ai.foundation_model_concentration |
TEC | Intelligenza artificiale | vulnerability | % |
COUNTRY | |
Supervisione di biosicurezza dei laboratori ad alto contenimentoIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotecnologie | coping capacity | {score} |
COUNTRY | |
Popolazione entro 15 minuti dai servizi di emergenzaIND.CRS.response.emergency_service_access |
CRS | Response capacity | coping capacity | % |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| Famiglia | Dominio | Pericoli | Count |
|---|---|---|---|
| Solar-terrestrial storms | Spazio e ambiente circumterrestre | Geomagnetic storm, Solar flare radio blackout, Solar radiation storm, Ionospheric disturbance, Geomagnetically induced current, Satellite space-environment anomaly, Thermospheric drag surge, Radiation-belt electron enhancement … | 9 |
| Impacts and orbital hazards | Spazio e ambiente circumterrestre | Near-Earth object approach, Meteorite impact, Airburst, Space debris, Orbital collision cascade, Uncontrolled re-entry, Spaceflight accident, Meteoroid stream encounter | 8 |
| AI system failure and misalignment | Tecnologie di frontiera ed esponenziali | AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … | 11 |
| AI security and model supply chain | Tecnologie di frontiera ed esponenziali | Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning | 7 |
| AI misuse and capability uplift | Tecnologie di frontiera ed esponenziali | AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI | 8 |
| Agentic AI acting at scale | Tecnologie di frontiera ed esponenziali | Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach | 6 |
| Algorithmic decision and structural harm | Tecnologie di frontiera ed esponenziali | Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … | 12 |
| Robotics, autonomy and autonomous weapons | Tecnologie di frontiera ed esponenziali | Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … | 10 |
| Biotecnologie e biologia sintetica | Tecnologie di frontiera ed esponenziali | Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … | 10 |
| Nanotechnology and advanced materials | Tecnologie di frontiera ed esponenziali | Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race | 5 |
| Neurotechnology, human enhancement and extended reality | Tecnologie di frontiera ed esponenziali | Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception | 7 |
| Quantum technology and cryptographic transition | Tecnologie di frontiera ed esponenziali | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Tecnologie di intervento climatico | Tecnologie di frontiera ed esponenziali | Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … | 11 |
| Space technology and orbital infrastructure | Tecnologie di frontiera ed esponenziali | Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples | 7 |
| Digital infrastructure concentration and monoculture | Tecnologie di frontiera ed esponenziali | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Tecnologie di frontiera ed esponenziali | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Tecnologie di frontiera ed esponenziali | Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration | 4 |
| Distributed ledgers and digital assets | Tecnologie di frontiera ed esponenziali | Smart-contract and oracle exploit | 1 |
Method libraries
Each method has a reference implementation or declares the specialist model, data or adapter it still needs; none is promoted beyond its evidence.
Scienza dei pericoli
Hazard Intensity Footprint Screening · Earthquake Hazard · Earthquake Ground Motion · Earthquake Rupture · Liquefaction · Landslide · Tsunami …
Infrastrutture critiche e sistemi industriali
Asset Reliability · Process Safety · HAZOP · FMEA FMECA · Industrial Fault Tree · Industrial Event Tree · LOPA …
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
Insurers, reinsurers and risk pools
Read hazard, exposure and protection-gap context. Run scenario and tail analytics. Study parametric index design questions.
Companies and supply chains
Screen sites and suppliers. Watch chokepoints and pulse. Read country context.
Nexus Reports
- Edition code
XT-07- Edition status
- prevista
- Oggetto
- Set by Nexus Reports at commissioning
Cita e riutilizza
- Series key
grix:SER.XT-07:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.SPC.weather.space_weather_exposure:{ISO3}:{YEAR}:A
Every country reads this series
Each country profile carries the domain indices this series is built from.
Stato
La metodologia, la struttura e le definizioni di The Global Risks Index sono una bozza di lavoro preparatoria (2026), diffusa per esame e commenti e non destinata all’attuazione. Nessun valore compare finché un’edizione non viene pubblicata a partire da un taglio di evidenze regolamentato; i valori riporteranno allora intervalli, classi, fonti e il relativo percorso di correzione. I simulatori applicano i metodi pubblicati ai numeri che scegli e non mostrano mai un valore NXS-GRX.
Che cosa non è NXS-GRX
NXS-GRX è un'informazione di ricerca e di analisi del rischio. Non è un rating creditizio o ESG e non usa alcuna scala di rating, non è un indice di riferimento per strumenti finanziari, non è una statistica ufficiale, non è un allerta di emergenza né una classificazione ufficiale e non è una consulenza. Non deve essere usato per valutare persone fisiche. Le classi di rischio sono fasce su una scala pubblicata, mai graduatorie di paesi o persone.
Istituzioni e fonti
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Ogni valore riporta l’attribuzione delle proprie fonti, che mantengono le rispettive licenze. I nomi esterni sono citati unicamente a fini di interoperabilità. I testi redatti da Nexus sono destinati alla licenza CC BY 4.0 al momento della pubblicazione.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.