Earth Observation for Sustainable Development Goals (EO4SDG Book)
The 2030 Agenda for Sustainable Development, adopted by all United Nations Member States in 2015, is a shared blueprint for peace and prosperity for people and the planet. At its heart are the 17 Sustainable Development Goals (SDGs), an urgent call for action by all countries— developed and developing—in a global partnership. As we navigate the critical "Decade of Action," the global community faces a significant hurdle: the data gap. Traditional statistical systems, while fundamental, are often constrained by high costs, infrequent updates, and limited spatial coverage, leaving decision-makers with an incomplete picture of the complex, transboundary challenges we face. In this context, Earth Observation (EO) emerges not as a technological novelty, but as a fundamental pillar of the modern global data ecosystem. From the vantage point of space, satellites provide an objective, continuous, and borderless view of our changing planet—capturing the pulse of our environment and the footprint of human activity, from the health of forests and agricultural lands to the rapid expansion of urban settlements and the impacts of climate change.
Contributions to this Book
This book is the result of a collaborative effort by a diverse international team of experts dedicated to advancing the use of Earth Observation for sustainable development. It has been produced by an editorial team comprising writers, researchers, and specialists from the United Nations Office for Outer Space Affairs (UNOOSA), the United Nations Global Service Centre (UNGSC), the United Nations Office on Drugs and Crime (UNODC), and the United Nations Secretariat for Global Geospatial Information Management (UN-GGIM).
The Role of Earth Observation
Despite its immense potential, EO technology is not a "one-size-fits-all" solution; it requires a nuanced understanding of technical constraints. The choice of platform shapes spatial and temporal resolution—satellites offer global coverage but may be limited by revisit times, whereas drones provide centimetre-level detail over smaller areas. Optical imagery, while intuitive, cannot penetrate cloud cover—a significant limitation in tropical regions—necessitating radar (SAR) data. Socio-economic data gaps pose further challenges. While EO excels at monitoring physical landscapes, deriving socio-economic insights often requires careful validation with ground-truth data to avoid misinterpretation. Issues of data accessibility, cost, and technical capacity in developing nations must also be addressed to prevent a digital divide.
To guide users through these complexities, this book employs a systematic "Traffic Light System" to evaluate the readiness of EO for each SDG indicator:
(i) can be calculated systematically using EO (green color)
This category represents SDG targets or indicators where Earth Observations can be used directly and systematically to calculate the required values with high reliability. The methodologies and datasets are mature and globally applicable, enabling routine application without significant additional input.
(ii) can be done locally using additional data (yellow color)
This category applies to indicators where Earth Observations can contribute to calculations but require supplementary data, often collected locally, to produce meaningful results. EO serves as a critical component but not the sole input for deriving the indicator.
(iii) small/no role of EO in this target (red color)
This category is for indicators where Earth Observations have a minimal or negligible role. The indicator relies primarily on other types of data, and EO does not currently contribute meaningfully to its calculation or methodology.
The Structure of this Book
This book is organised into four comprehensive sections designed to take the reader from basic principles to advanced applications.
Section 1: Sustainable Development Goals and Earth Observation
This section introduces the synergy between the 2030 Agenda and geospatial technology. It outlines the fundamental principles of remote sensing, explaining the physics of the electromagnetic spectrum and energy interactions with the atmosphere. It also details the roles of the United Nations—specifically UNOOSA, UN- SPIDER, and UNGSC—in promoting the peaceful use of outer space for development.
Section 2: Introduction to Remote Sensing
Here, the technical foundations are established. Readers will learn about different platforms (satellites vs. drones), orbit types (LEO, GEO, SSO) , and sensor technologies (Passive vs. Active, Multispectral vs. Hyperspectral). The section also covers the critical workflow of data processing, from raw data acquisition to atmospheric correction and feature extraction using AI/ML, and introduces key online data portals like the UN-SPIDER Knowledge Portal and NASA Earthdata.
Section 3: Results of Earth Observation and Application for SDGs
The core of the book, this section dedicates a sub-chapter to each of the 17 SDGs. It presents concrete "Recommended Practices" and case studies, such as using VIIRS night-time lights for poverty mapping (SDG 1) , monitoring agricultural drought with VCI (SDG 2) , and tracking water stress in the Nile Basin (SDG 6). Each indicator is assessed using the traffic light methodology to clarify EO's specific contribution.
Section 4: Map Use Environments & Future Outlook
The final section discusses the enabling environment for EO, including open access policies, capacity development, and the integration of emerging technologies like Generative AI (e.g., SATGPT) and edge computing. It emphasizes the need for global partnerships to bridge the digital divide and ensure equitable access to these powerful tools.
Conclusions of the EO4SDG Book
When we began this book nearly two years ago, our starting point was a simple observation: satellites now watch our planet with unprecedented detail, yet many of those responsible for guiding progress on the Sustainable Development Goals are only beginning to see how Earth Observation can help them do so. The 2030 Agenda enters its final five years amid stubborn data gaps, and space-based information is one of the tools best placed to close them. This publication is our attempt to make that potential legible to a wider audience — statisticians, ministry officials, researchers, and civil society practitioners for whom remote sensing is not a daily instrument, but who increasingly need to know what it can, and cannot, do.
In organising the material, we set ourselves three constraints. It had to be honest about the limits of EO — hence the traffic-light system, and the deliberate omission of indicators where EO plays no meaningful role. It had to be grounded in real practice, drawing on operational work by United Nations entities and their partners rather than aspirational demonstrations. And it had to be readable end-to-end by someone whose primary expertise lies outside Earth Observation. We have not perfectly achieved any of these ambitions; we have tried, and we have learned in the process.
We do not present this book as a final word. It is a snapshot of what a diverse editorial team could distil in the middle of the 2020s, at a moment when the technical possibilities of Earth Observation are expanding faster than most institutions can absorb them, and when the shared task of leaving no one — and no place — behind has never felt more urgent. If the pages in this book help a colleague in a statistical office, a ministry, a research group, or a community organisation ask a better question of a satellite image, they will have done what we hoped.
"The vantage point is space. The work is here on Earth. We hope you will join us."
Access the full EO4SDG Book through the PDF attachment below or via this link: EO4SDG Book
