Challenges & Opportunities

Part II of this Handbook illustrates the breadth of satellite EO applications for adaptation and resilience. However, significant challenges remain in translating these capabilities into sustained, decision-relevant services. These relate less to data availability than to usability, integration, institutional uptake, and long-term operationalisation. The challenges can be broadly grouped into three categories: translation from data to decisions; institutional and capacity constraints; and system-level integration and sustainability.

One of the most persistent challenges lies in bridging the gap between the availability of EO data and its effective use in decision-making processes. While large volumes of satellite data are openly available and analytical platforms have lowered technical barriers to access, decision-makers require information that is tailored to specific policy questions, expressed in relevant metrics, and aligned with planning cycles and regulatory frameworks.

This “last-mile” challenge reflects the need to translate EO data into decision-relevant information products. In practice, this requires not only processing and interpretation, but also the integration of EO with complementary data sources, including in situ observations, socioeconomic data, local knowledge, and model outputs. It also requires alignment with policy and reporting frameworks, where indicators must correspond to institutional needs and decision contexts.

Without such integration and alignment, EO-derived information risks being underutilised or applied in isolation, limiting its practical relevance for adaptation planning and implementation. These challenges are explored further below in terms of institutional capacity, system interoperability, and long-term operationalisation.

In many countries, particularly in developing and climate-vulnerable regions, limitations in technical capacity, institutional structures, and resources constrain the effective use of EO. While global datasets are increasingly accessible, their interpretation and application require expertise in geospatial analysis, climate science, and sector-specific decision contexts. Institutional fragmentation can further limit uptake. Responsibilities for climate adaptation, environmental monitoring, disaster risk management, and sectoral planning are often distributed across multiple agencies with limited coordination. This can result in duplication of effort, inconsistent use of data, or underutilisation of available information.

Sustained capacity building is therefore essential, not only in terms of technical training, but also in developing institutional arrangements that support the integration of EO into routine decision-making processes. Short-term projects and training initiatives, while valuable, are often insufficient to establish lasting capability without long-term support and embedding within national systems.

EO provides a powerful perspective on environmental conditions, but effective application depends on combining it with other data sources. Technical challenges arise from differences in spatial and temporal resolution, data formats, and methodological approaches, which can complicate data fusion and analysis. Addressing these challenges requires interoperable systems, standardised workflows, and approaches that enable consistent integration across datasets, enhancing the data’s resilience.

Crucially, integration must extend beyond observational datasets to include climate projections and scenario-based information on future change. While EO provides robust baselines and observed trends in hazards, exposure, and environmental conditions, adaptation planning requires an understanding of how these risks are expected to evolve or change over time. This involves combining EO-derived information with outputs from climate models, downscaled projections, and impact models to assess changes in the frequency and intensity of hazards such as floods, droughts, heatwaves, and sea-level rise.

The integration of EO with projection-based datasets enables a transition from retrospective analysis to forward-looking risk assessment, supporting the design of adaptation measures that are robust under a range of future scenarios. Without this connection, there is a risk that EO-based analyses remain anchored in historical conditions and do not fully capture the scale and dynamics of future climate risk.

Integrated indicator frameworks and methodological approaches that combine EO with other sources of evidence is essential for monitoring and evaluating adaptation effectiveness, which is inherently challenging. Adaptation involves complex, context-specific changes in vulnerability, exposure, and resilience. EO can contribute valuable information on environmental changes but linking these observations directly to specific adaptation interventions is not straightforward. Establishing baselines, defining appropriate indicators, and accounting for confounding factors all present methodological difficulties. As a result, there remains a gap between what EO can measure and what is required to assess the effectiveness of adaptation actions.

The EO landscape is characterised by a wide range of missions, programmes, platforms, and service providers operating at global, regional, and national scales. Users may face multiple platforms providing similar datasets or services, often with differing interfaces, standards, and levels of support. This can create confusion, increase transaction costs, and hinder adoption, particularly for non-expert users.

Interoperability between systems remains uneven, and the lack of standardised workflows can make it difficult to integrate EO products into existing decision-support systems. Beyond interoperability itself, there is also a growing need for practical integration and aggregation of datasets, services, and analytical outputs across platforms and sectors. Users often require consolidated, decision-ready information rather than access to multiple separate EO products that must be combined independently. Greater coordination across agencies and initiatives, adoption of common standards, and user-oriented service design will therefore be important not only for improving interoperability, but also for enabling seamless integration of EO with climate, socioeconomic, infrastructure, and hazard data into coherent operational services.

In Part II of this Handbook, we have sought to prioritise services available on a sustained basis, but a significant proportion of EO applications for adaptation and resilience are developed through research projects, pilot initiatives, or time-limited programmes. While these efforts demonstrate the potential of EO, they do not always transition into sustained operational services. Adaptation requires long-term, reliable information services that can support planning, implementation, and monitoring over extended timeframes. This, in turn, requires stable funding, institutional ownership, and integration into national and regional systems. The transition from pilot to operations is therefore a critical challenge. Without mechanisms to sustain and scale successful applications, there is a risk that valuable innovations remain isolated and do not achieve broader impact.

International and domestic frameworks and investments increasingly emphasise measurable indicators of progress. A key challenge is ensuring that EO capabilities are considered early in the design of such frameworks as well as ensuring new EO capabilities are planned to deliver on societal observation needs. Where this is achieved, EO can support consistent and scalable indicators; where it is not, opportunities to leverage satellite data may be constrained and more difficult to introduce retrospectively.

While EO data are increasingly open, access alone does not guarantee usability. Differences in infrastructure, connectivity, technical capacity, and institutional support can create disparities in the ability of countries and communities to benefit from EO. Addressing these disparities requires attention not only to data provision, but also to the design of services, tools, and capacity-building initiatives that are responsive to user needs. Co-development approaches, in which users are actively involved in the design and implementation of EO applications, have shown promise in improving relevance and uptake. Ensuring equitable access to EO-enabled services is therefore both a technical and a governance challenge, with implications for the effectiveness and fairness of adaptation efforts globally.

Addressing these challenges will require coordinated efforts across the EO community, national governments, international organisations, and user communities. Technical advances alone will not be sufficient; progress will depend equally on institutional innovation, sustained investment, and the development of user-oriented services. In this context, the role of organisations such as CEOS, GEO, and partner agencies is critical in promoting coordination, fostering capacity development, and supporting the transition from data provision to decision support. As adaptation and resilience become increasingly critical for countries and communities, ensuring that EO can effectively contribute to these efforts will remain a central priority.

Some of the above challenges are significant but some of the trends apparent around the use of satellite EO data suggest there is ample cause for optimism that some of these may be overcome. These opportunities lie not only in improved observations, but also in the ability to translate data into consistent, decision-relevant information and to embed EO within policy frameworks, operational systems, and user-driven services.

One of the most distinctive contributions of EO is its ability to provide globally consistent, repeated observations of the Earth system. This enables the development of comparable datasets across countries and regions, supporting assessments of exposure, vulnerability, and environmental change.

Such consistency is particularly valuable in the context of global policy frameworks (see Section 4), where there is a growing need for indicators that can support the assessment of collective progress. EO-derived datasets offer a unique opportunity to underpin a subset of indicators with consistent methodologies, enabling comparability across national contexts while reducing reporting burdens. Long-term satellite records, including those associated with ECVs, further strengthen this role by providing the temporal depth required to establish baselines, detect trends, and monitor slow-onset changes such as sea-level rise, land degradation, and shifts in vegetation patterns.

The increasing availability of EO data creates new opportunities to support indicator frameworks for adaptation and resilience. EO can contribute consistent measurements of hazards, exposure, and environmental conditions, complementing socioeconomic and institutional indicators.

A key opportunity lies in designing indicators that explicitly incorporate EO from the outset, enabling scalable and comparable monitoring systems. Where combined with other data sources, EO can support more comprehensive assessments of risk and resilience.

The emergence of cloud-based platforms and Analysis-Ready Data (ARD) represents a major shift in the accessibility and usability of EO. Cloud-native infrastructures allow users to access, process, and analyse large volumes of satellite data without the need for significant local storage or computing capacity, reducing barriers to entry and enabling more efficient workflows.

In parallel, ARD products – pre-processed to a standard suitable for immediate analysis – remove the need for complex steps such as radiometric and geometric correction. Together, these developments allow users to focus on generating insights rather than managing data processing pipelines.

These advances support reproducibility, standardisation, and scalability, enabling applications to be deployed consistently across regions and institutions. As a result, EO is increasingly able to move from specialist use toward broader operational adoption in areas such as agriculture, water management, and disaster risk assessment.

EO is playing an increasingly important role in multi-hazard early warning systems, providing timely information on extreme weather, floods, droughts, wildfires, and coastal hazards. Advances in satellite capabilities, combined with improved data processing and dissemination, enable near-real-time monitoring at regional and global scales. These capabilities align closely with international initiatives such as the EW4All initiative and the Sendai Framework for Disaster Risk Reduction, both of which emphasise the importance of timely, accessible, and actionable information.

EO can support not only hazard detection, but also the monitoring of exposure and vulnerability, contributing to more comprehensive risk assessments. This creates opportunities to move from reactive responses to more anticipatory approaches, supporting preparedness and risk-informed decision-making.

There is a growing shift from data provision toward user-driven services that are co-designed with stakeholders. Programmes such as the GDA initiative and the SCO have demonstrated the value of engaging users throughout the development process to ensure relevance and uptake.

EO is increasingly being integrated into national adaptation planning processes, climate services, and sectoral decision-making frameworks. NAPs provide a key entry point for embedding EO within structured planning systems, linking risk assessment, planning, implementation, and monitoring.

This shift toward co-designed and institutionally embedded services represents an important step from demonstration projects toward sustained, operational use of EO in adaptation and resilience.

The EO ecosystem is increasingly supported by a dynamic private sector that is translating satellite data into actionable products and services. These include applications in agriculture, insurance, infrastructure, urban planning, and environmental management. Private sector involvement can drive innovation, improve service delivery, and expand the range of available applications. It can also contribute to the sustainability of EO services by creating viable business models that complement public-sector provision. Partnerships between public and private actors offer opportunities to combine strengths, leveraging public data and infrastructure with private-sector agility and user engagement.

Taken together, these developments point toward a transition from a focus on data provision to the delivery of operational, scalable services that support adaptation and resilience. Advances in cloud computing, analysis-ready data, and user-driven service design are reducing barriers to use, while the growing integration of EO into policy frameworks is increasing demand for consistent and reliable information. Realising this potential will require continued attention to usability, capacity development, and institutional integration. However, the trajectory is clear: EO is increasingly well positioned to serve as a foundational component of the information systems that underpin adaptation and resilience in a changing climate.