The context

Due to its high ratio of desert lands, Mauritania is at risk of bearing some of the most devastating effects of climate change, including with respect to drought, food security and coastal flooding.  

Its capital city, Nouakchott, is the largest city in the Sahara Desert and is located along the Atlantic Coast where it is susceptible to sea level rise. Outside the city, the Sahara desert ensures that just 0.5% of the country consists of arable land and approximately three-quarters of the entire surface is desert or semi-desert. This makes the country highly susceptible to increased desertification, affecting crop and pastureland as well as enhancing concerns of drought, food security and other sources of health and well-being. Increasingly, the impacts of climate change have also left parts of Mauritania vulnerable to wildfires, risking further destruction of the land.

Fortunately, it is now easier than ever to utilize remote sensing and satellite information for environmental monitoring. Open satellite data and software allows governments to understand and track changes in the environment in ways that would previously have been complex, laborious or expensive to achieve. This makes rapidly responding to such changes viable. With the appropriate technical expertise and guidance, geographic information systems (GIS) show significant promise in lowering costs and avoiding some of the hurdles associated with traditional environmental observation.  

How was it implemented?

GIZ’s country office in Mauritania coordinated an effort between GIZ Data4Policy and GIZ Data Service Center to understand the government’s needs. During initial feedback, Mauritania requested consideration of a wide range of environmental indicators, encompassing the monitoring of wildfires, watercourses and watersheds, forests and vegetation, soil degradation and coastlines. Overall, 14 indicators were requested by the Ministry to effectively monitor Mauritania’s priority areas.  

GIZ Data Service Center then conducted a feasibility study on each of the indicators. The most effective way to evaluate each indicator using open-source data and technology was sought. Specifically, GIS and satellite data should form part of the monitoring of each indicator. The Data Service Center then further developed each proposed indicator, discussing the available datasets which apply and how to access this data using appropriate tools. In cases where the specific indicator could not be monitored using existing datasets or where a GIS was not feasible, similar alternative indicators were created. Of the 14 requested indicators, 12 were determined to be feasible to monitor through remote sensing and geoinformation.

Each indicator was then scored on its availability, feasibility and scalability, offering insight into their usefulness. In addition, the report suggested specific challenges and advantages of each indicator. These findings were then presented to the Ministry in a closing presentation with appropriate stakeholders. The presentation offered further guidance on implementation, as well as an interactive element showcasing each indicator and the specific mapping processes that enable monitoring.  

How can better data contribute to better policy?

With this information, government agencies in Mauritania can better adapt and make decisions regarding the changing environment to prevent the most devastating impacts of climate change including flooding, desertification and wildfires. As much of the data covered in the report is in near-real-time, environmental monitoring can happen at regular intervals. Thus, Mauritania is better positioned to create policies that mitigate the adversarial effects that environmental changes may have on its population and land. Mauritania indicated that the report is assisting their implementation of their Environmental Impact Statement (EIS), effectively supporting their efforts for more robust environmental monitoring.

Regular monitoring of these changes can potentially affect land use policy, and therefore slow the spread of desertification and prevent coastal flooding. Resources can additionally be allocated more effectively to create resilience to harmful effects, with NRT data making it possible to address wildfires, protect against deforestation and ensure more resilient infrastructure appropriately targets the country’s needs.

As countries look to create more robust systems to combat the negative effects of climate change, good, reliable and up-to-date data must be a priority. With a greater ability to leverage remote sensing and satellite and geoinformation data, policies can rapidly mobilize resources and allocate them to the most effective solutions to areas of concern.  

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