Phase two is underway for the EO4SD CR Cluster

Phase two is underway for the EO4SD CR Cluster

The EO4SD Climate Resilience (CR) Cluster has embarked upon phase two of their mission to help countries around the world increase their climate resilience by using EO data. In collaboration with several International Financial Institutions (IFIs), the cluster has developed EO-based integrated climate screening and risk management products and services to help manage climate-related risks and capitalise on the opportunities that climate resilience can create. The cluster is also working to build the capacity of IFI staff and IFI client states, allowing stakeholders to autonomously use EO-based information for climate resilience decision making.

Part one’s scoping phase, identified the potential areas for EO data to increase climate resilience and set about designing systems that would enable this to inform decision making. Phase two will see further refinement of the tools and training and capacity building for staff in using the information generated from the tools. For example, in the Philippines, the pilot project used satellite-based, highly automated, open water surface inundation tools to detect both seasonal fluctuation of water bodies and long-term changes. This Inundation Monitoring Service (IMS) maps the extent of flooded areas over time, which can help build a picture of the flood response of an area. As the pilot has worked so well, the EO4SD CR cluster will work with the ADB over the next 12 months to identify more sites where the IMS can be implemented.

The Cluster has also worked with the World Bank in a pilot phase to seamlessly integrate high-resolution, global observed datasets for three climate-related variables into the World Bank’s Climate Change Knowledge Portal (CCKP), which is one of the most high-profile, publicly accessible, climate data platforms in the world. Data was chosen specifically to add depth to the portal’s observational data offer, enhancing the accessibility of reliable data whilst making sure to cater for different user skill levels. Phase two will develop new visualisations of the EO data accessible via the CCKP, and develop country-specific EO-based and climate projection data to inform sectoral risk assessment on the CCKP (including energy, water, agricultural, and health).

Data was also successfully integrated into the pre-existing platforms with International Finance Corporation (IFC) and the Multilateral Investment Guarantee Agency (MIGA), as well as Africa RiskView (ARV) in conjunction with African Risk Capacity (ARC). For ARV, the Cluster combined Earth Observation (EO) data with population vulnerability data to provide an early-warning model that measures food insecurity and estimates response costs, enabling decision-makers to plan and respond quickly and efficiently to drought stresses. In addition, access has been given to products available through the EO4SD Cluster’s own platform that can deliver precipitation, soil moisture, and sea surface temperature data which is being used to test the possibilities for integrating other products into the ARV. Based on this initial engagement and testing, the next steps are to further integrate EO data into the ARV tool, and refine the types of information it is able to provide. Similarly, the Cluster worked with International Finance Corporation (IFC) and the Multilateral Investment Guarantee Agency (MIGA) to integrate EO data into its risk screening tool, upgrading their ability to assess the materiality of climate impacts, past and future. Phase two work includes integrating more EO data into their screening tool, with the timeline and resolution of data enabling a more detailed analysis.

The Cluster has also helped AGRHYMET’s ability to have a comprehensive view of climate risk as a function of hazard, exposure and vulnerability by identifying several products and services that can be provided in support of its work. Combining EO data, climate projection derived information and socioeconomic data, AGRHMET can improve its understanding of factors affecting Sahelian food security, desertification control, and water control and management. As a result, the wetlands monitoring service was chosen as a pilot and has been implemented in a region in Mali with a temporal range of 2017 to 2018. This pilot successfully demonstrated that the product could be applied in practice and usefully deliver relevant information. Over the course of the next 12 months the Cluster will further refine the prototype products and identify other projects for which they might be usefully applied. The Cluster will work with AGRHYMET to implement a service that provides full coverage of a pilot area, covering some 3,800 km2 of the Inner Niger Delta wetlands at a resolution of 20 km2. This service will enable monthly monitoring of surface wetness and water bodies integrating observed and projected rainfall data as well as a Water and Wetness Probability Index (WWPI), which will further enable comparing monthly means with observed measurements.

In Greater Monrovia, EO data will be used to analyse the exposure of critical infrastructure to coastal hazards. This includes generating analysis and projections of coastal shoreline change, rates of coastal erosion, and land subsidence. By combining this analysis with other EO data (for example, Modified Normalized Difference Water Index, Digital Terrain Models, and bathymetry data), climate projections, and socio-economic data, the cluster will also develop analysis on the population exposure to coastal flooding. The World Bank are also working with the Cluster in supporting the Monrovia Integrated Development Project (MIDP) by understanding the region’s urban growth, and how, in conjunction with the shoreline analysis, other socioeconomic factors might contribute to climate vulnerability. The next phase is to integrate more EO data to better identify risks and estimate projected coastal erosion, vital for informing resilient interventions by stakeholders.

Critical infrastructures and settlements likely to be flooded due to coastal flooding in West Point and Clara Town (Greater Monrovia, Liberia).

A vital part of phase two is to provide capacity building activities in order to increase the effectiveness of climate and disaster risk management. In order to do this, the Cluster will be helping partners by increasing the capacity of their staff to be able to provide better services and tools to local stakeholders (such as governmental bodies and other organisations with overlapping objectives). Capacity building activities will initially focus on the EO4SD CR platform, providing to staff training on how to access and test EO derived data. By showcasing examples of how EO derived information relates to daily operations, staff will understand how EO data can be used for assessment and awareness activities. These will be delivered via a series of introductory webinars and regional events, before curating dedicated webinars and ‘on demand’ webinars, acting as a helpdesk to the various stakeholders. For example, in the Philippines, specific capacity building options may include how EO services can feed into nature-based flood protection solutions by identifying suitable locations, and using real-time EO data to monitor rivers to strengthen early flood warning systems.


This article was originally published on the EO4SD CR website.
Cover image by USGS on Unsplash.

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