What Earth Observation Can Do for Official Statistics
Earth observation (EO) is opening new possibilities for the production of official statistics, offering national statistical offices and geospatial agencies a scalable, cost-effective and objective source of data to complement and enhance traditional survey methods. Satellite data can support the production of land use and land cover statistics, monitor urban growth and infrastructure change, contribute to population and housing assessments, track agricultural indicators, and provide timely information on environmental conditions such as vegetation, water bodies and natural hazards. By delivering consistent, reproducible and spatially referenced information at national and sub-national scales, EO strengthens the accuracy, timeliness and geographic granularity of official statistics — supporting more robust evidence for policy-making, national reporting and the monitoring of global frameworks such as the UN Sustainable Development Goals.
ESA's Role in Official Statistics
ESA supports the integration of space-based data into official statistical processes through missions and programmes that generate authoritative, freely available geospatial datasets. Copernicus Sentinel missions provide the high-resolution, regularly updated Earth observation data that underpins many statistical applications — from land use and agricultural area estimation to urban expansion monitoring and disaster impact assessment. Through collaboration with statistical agencies, geospatial authorities and international bodies such as the United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM), ESA works to align satellite data products with the methodological standards and reporting requirements of the official statistics community. These efforts support the modernisation of national statistical systems and contribute to a more integrated, geospatially informed approach to evidence production at national and international levels.
How the Stakeholder Engagement Facility Supports Official Statistics Users
The ESA Stakeholder Engagement Facility (SEF) engages with the official statistics community — including national statistical offices and geospatial agencies — to support the integration of Earth observation data and services into statistical production workflows. SEF uses tools such as the Geospatial Explorer to illustrate how satellite data can address real-world challenges in geospatial statistics, indicator monitoring and national reporting.
Capacity-building is a central pillar of SEF's work in this thematic area. SEF has delivered dedicated training through its Earth Observation Training for Official Statistics programme, designed to equip statisticians and geospatial professionals with the practical knowledge needed to access satellite data within official statistical frameworks.
SEF is deeply embedded in the international official statistics and geospatial community, maintaining an active presence at the events that shape the field. SEF participated in the European Forum for Geography and Statistics (EFGS), a key forum for advancing the integration of geospatial data into European statistical systems, and engaged with the UN GGIM High Level Forum, one of the most influential global platforms for geospatial information management and its role in sustainable development.
At the institutional level, SEF is conducting deep dive sessions with multiple national statistical offices across Europe — tailored, one-on-one engagements designed to understand each organisation's specific data needs, methodological requirements and integration challenges, and to identify where EO solutions can deliver the most tangible value. Together, these activities position SEF as a trusted partner for the official statistics community in its journey towards more spatially informed, satellite-enhanced statistical production.
External Resources
The following resources cover ESA-funded projects and open frameworks relevant to national statistical offices,
environmental agencies and international organisations integrating Earth Observation into official statistics
spanning agricultural monitoring, ecosystem accounting, smart statistics, SDG reporting, and geospatial–statistical
integration.
Agricultural statistics
Sen4Stat Sentinels for Agricultural Statistics
Develops open-source EO products and validated workflows based on Sentinel-1, Sentinel-2 and Landsat to help
National Statistical Offices (NSOs) integrate satellite data into agricultural statistics production. Outputs
include wall-to-wall crop type maps, seasonal crop growth indicators and design-based area estimation methods
that improve survey accuracy and enable spatial disaggregation below traditional administrative boundaries.
Pilot countries include Spain, Ecuador, Senegal, Tanzania, Pakistan and Mali. Directly aligned with the
50x2030 Initiative (FAO / World Bank) and SDG reporting.
Ecosystem accounting
PEOPLE-EA Pioneering EO for Ecosystem Accounting
Studies the relevance of EO data for producing SEEA Ecosystem Accounting (SEEA-EA) compliant accounts and
develops cloud-based tools for generating spatially explicit accounts of ecosystem extent, condition and
services for terrestrial and freshwater ecosystems. Integrates three state-of-art technologies, the INCA
accounting models, the ARIES semantic platform, and the openEO processing API, to produce Account Ready Data
(AccoRD) stacks. Early Adopters are the national statistical offices and environmental agencies of Italy, the
Netherlands, Norway, Slovakia and Greece.
Smart statistics
GAUSS Generating Advanced Usage of EO for Smart Statistics
Demonstrates how satellite EO fused with other data sources can deliver the next generation of operational
statistical services, and establishes best practices for incorporating EO into Trusted Smart Statistics. Four
use cases developed with national statistical agencies cover: urban green area extent and quality (Statistics
Poland / IGIK); air quality statistics at local administrative unit level (ELSTAT Greece / NOA); hydrological
drought index from Sentinel-3 altimetry (Statistics Finland / SYKE); and snow cover and condition statistics
(Statistics Finland / FMI).
UN standard
SEEA Ecosystem Accounting (SEEA-EA)
The internationally agreed statistical standard adopted by the UN Statistical Commission in March 2021,
providing a comprehensive framework for organising data on ecosystems, measuring ecosystem services and
linking them to economic activity, consistent with the System of National Accounts (SNA). Now implemented by
34+ countries. EO data is explicitly recognised as a primary input for producing spatially explicit ecosystem
extent and condition accounts. The ARIES for SEEA Explorer (AI-driven, cloud-based tool) enables rapid
standardised ecosystem accounting globally.
Geospatial–statistical integration
Eurostat GISCO & GEOSTAT
Eurostat's GISCO unit coordinates the integration of geospatial information and official statistics across
the European Statistical System. The GEOSTAT project series (1–4, since 2010) established methodologies for
European population grids, geocoded census infrastructure and geospatial statistics frameworks aligned with
the Global Statistical Geospatial Framework (GSGF). Products include European population grids (1 km²), the
GSGF-Europe implementation guide, and methodological guidance on statistical-geospatial data integration for
NSOs. Free data and documentation are openly available.
SDG indicators & EO
GEO EO4SDG Compendium of EO Contributions to the SDGs
Produced by an ESA-funded project in cooperation with GEO EO4SDG and CEOS, this reference compendium reviews
EO relevance across all 232 SDG indicators, identifying that up to 34 indicators can be directly or indirectly
informed by satellite data across 29 targets and 11 goals. Uses a traffic-light system to flag EO readiness
per indicator and provides methodological guidance on embedding satellite observations in national statistical
systems. An essential reference for NSOs and custodian agencies planning to integrate EO in SDG monitoring and
reporting.
