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GCRISpace and Earth ObservationIn development
Dependencies and consequences

Dependencies and consequences

Space systems connect to life on the ground through two pathways: the evidence they provide and the services they deliver. Both create dependencies. Decisions about water, food, disasters and climate increasingly rest on satellite data, and networks for energy, communications, transport and finance rely on satellite timing and connectivity. This page sets out how disruption in either pathway can cascade. It describes connections; it is not a forecast.

Publisher
The Global Centre for Risk and Innovation
Field
Space and Earth observation, Climate and hazards
Status
In development
Service level
R0: information and enquiries

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Earth observation, for this page

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.

For dependencies and consequences, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery and land cover with true colour from NASA GIBS, framed on the Arctic; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA HLS S30 · Copernicus Sentinel-2 L2ASources 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 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
  • GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); 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). 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.
  • Observed (EO): NASA HLS S30 (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).
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Optional layers (35 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

  • 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
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
  • Sea ice concentration: GHRSST MUR, NASA JPL PO.DAAC · 12 Oct 2026
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026

GeographyFor dependencies and consequences, in GCRI's spatial-intelligence reading, the map opens on true-colour imagery and land cover with true colour from NASA GIBS, framed on the Arctic; every other NASA layer, live feed and forecast waits in the layer list.

STEM methods
7
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
7
Platforms in shared fields at GCRI, GRF and GRA
Report series
2
Nexus Reports series it contributes to
01In brief

The short answer.

Dependencies and consequences in Space and Earth Observation describe how space and Earth observation as well as climate and hazards connect to other systems through physical, economic, social and ecological links, and how stress travels along them toward fields such as those of Diplomacy Nexus and Climate and Nature Governance. Every dependency map states its assumptions, data and uncertainty; it describes connections, not a forecast.

02Canvas

One field, three institutions.

Canvas · one field, three institutionsDesign, not a record
One field, three institutions: Space and Earth Observation and its counterpartsGCRI studies the field as science, GRF governs and convenes it, GRA builds shared financial understanding; the Nexus Universe tests work across them and the competent authorities decide. Design of the arrangement, not a record.

Fig.How GCRI, GRF and GRA share one field while the authorities decide. Design, not a record.

03Console

Field overview, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Field overview: the screen's structure, terms and states for Space and Earth observation.Placeholder names and illustrative values; a design, not a record or a live system.
04Pathways

How space-based disruption travels.

Physical and technical

Timing and positioning

Navigation signals provide time references for telecommunications, electricity networks and financial systems. Loss or spoofing can degrade services far from any satellite.

Economic

Evidence-dependent decisions

Crop monitoring, insurance, commodity markets and resource management use satellite products. Gaps or errors in data can propagate into prices, plans and risk models.

Social and ecological

Monitoring and response

Disaster response, environmental enforcement and humanitarian planning depend on timely observation. Loss of data can delay help and hide environmental change.

05Threats to the system

What can disrupt space services.

Space weather, driven by solar activity, can disturb satellite electronics, degrade navigation accuracy and increase drag on low-orbit satellites. Radio interference and jamming can deny navigation and communication signals locally, and spoofing can feed false positions or times to receivers. Ground segments, the stations, networks and software that control satellites and distribute data, are exposed to cyber attack, power loss and natural hazards like any other infrastructure.

In orbit, the growing number of satellites and debris raises collision risk, and a single collision can create fragments that threaten others. Dependence on a small number of data sources or providers can create concentration risk: if a key mission ends without a successor, long-term records that many fields rely on can be interrupted.

07Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
InterdependencyA two-way dependency between infrastructures, such as power needing telecoms for control while telecoms need power to run.
Cascading riskRisk that a failure in one system or component triggers failures in others that depend on it.
Compound eventTwo or more hazards or drivers occurring together or in sequence whose joint impact exceeds what either would cause alone, such as drought followed by intense rain; IPCC assessments use the term.
Dependency mappingTracing the people, processes, technology, facilities and suppliers a service relies on.
08Method

How dependencies are analysed.

Dependency analysis draws on space systems engineering, communications and network technology and spatial statistics, with evidence from incidents and testing. Every map states its assumptions and uncertainty; see methods and uncertainty.

A dependency map describes how disruption could travel. It does not assess any individual operator's systems or security.

09Questions

Questions and answers.

Is a dependency map a forecast?
No. It describes connections and possible pathways. Scenarios are labelled as such and carry their assumptions.
Does the platform publish vulnerabilities?
It publishes analysis at system level. It does not publish exploitable details of specific systems; security concerns go to the responsible operators under coordinated disclosure.
Why include data continuity?
Because long satellite records underpin climate, ecosystem and hazard science. An interruption without a calibrated successor can break records that took decades to build.
Space and Earth Observation

Bring your expertise to this field.

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