In approaching 2030, countries and stakeholders have increased their use of Earth science information to inform development indicators; manage targets; prioritize sustainable development implementation programs; and evaluate outcomes. From measuring climate risks and urban growth, to monitoring biodiversity hotspots and sustainable forest management, Earth observation data and derived insights play a key role in sustainable solutions. There are now more examples of fit-for-purpose data, tools, and methodologies that advance integration of Earth observations in support of sustainable development applications. In addition, capacity development and resource mobilization efforts have been focusing on strengthening the ability of countries to integrate a range of new data sources into national statistical systems, and address data needs for the full implementation of the 2030 Agenda.

However, the effective implementation and monitoring of this ambitious agenda are fundamentally constrained by critical data deficiencies. A pervasive challenge is the severe inconsistency, incomparability, and often outright absence of timely, granular data for many SDG indicators, particularly in low- and middle-income countries and for cross-border phenomena. Traditional data collection methods, such as censuses and household surveys, are costly, infrequent, and vary significantly in methodology between nations. This “data desert” undermines the ability to conduct rigorous comparative analysis across regions, track consistent progress within countries over different time periods, and ensure that no one is left behind. It hampers evidence-based policymaking, resource allocation, and accountability. To bridge this gap and transform SDG monitoring into a truly global, comparable, and dynamic exercise, there is a proposal to develop and institutionalize of a complementary, standardized indicator framework derived from Satellite Earth Observation (EO). Satellite EO and AI offer a paradigm-shifting solution to these data challenges by providing synoptic, repetitive, and objective measurements of the Earth's environment and human activities. Through this Community Event, we will focus on addressing the following key issues regarding the big data based SDG indicator system.

In this event, we will hear and make sure the progress which has been made through the EO4SDG initiative introducing the initiative framework and reporting from countries and communities in GEO. Then as we have already proposed a new "enabling mechanism" in the Post-2025 GEO Work Programme development, we will discuss what the next step of the EO4SDG is. Following speakers will be expected at the event. A panel discussion will be organized to discuss way-forward of the future activities in the Post-2025 GEO Work Programme.

Welcome and Introduction (Moderators: Osamu Ochiai, Lijun Zuo)

Presentations

Panel Discussion (all speakers)

Audience Q&A

Closing Remarks (moderators)