AI and Satellites Used in Fight To Save Africa's Wetlands

What We're Losing

Since 1970, 411 million hectares of wetlands have disappeared globally—roughly 22% of the world's total. That's an area larger than India, vanishing at an annual rate of 0.52%.

Africa holds 131 million hectares of wetlands, ecosystems that regulate floods, purify water, store carbon, and support millions of livelihoods. But from coastal wetlands in Ghana being clogged by UK clothing dumps to climate change threatening mangroves in Zanzibar, to Zimbabwe's fragile wetlands being compromised by agriculture and urbanization, these vital ecosystems are under pressure across the continent.

The most critical challenge isn't just habitat loss—it's the monitoring gap. Most African countries lack the data, tools, and technical capacity to track what they're losing, making conservation planning nearly impossible and hampering efforts to meet global environmental commitments like the Ramsar Convention on Wetlands.

The Solution Taking Root

At Ramsar COP15 in Victoria Falls in July 2025, Digital Earth Africa launched tools designed to close that gap: a Wetlands Monitoring Workflow and online training module that give African countries unprecedented ability to monitor their wetlands using free satellite data covering the entire continent.

What makes this different is who built it and how it works. African scientists developed these tools specifically for African contexts, addressing the barriers that have long prevented effective wetland monitoring: limited resources, time constraints, and technical skill gaps.

"Wetlands are at the heart of Africa's environmental and economic resilience, supporting flood regulation, food systems, biodiversity, water security and millions of livelihoods," says Dr. Lisa-Maria Rebelo, Managing Director and Lead Scientist at Digital Earth Africa. The new tools enable "those involved in the management of water and wetland resources to better understand surface water availability, quality, and changes over the past three decades."

Who's Making It Work

Four countries are already implementing the workflow, creating a proof of concept for continental wetland monitoring: South Africa, Senegal, Kenya, and Uganda.

The implementations run through partnerships with regional organizations that understand local contexts. The Regional Centre for Mapping of Resources for Development (RCMRD) coordinates work in Kenya and Uganda, while the Centre de Suivi Écologique (CSE) leads in Senegal. In South Africa, the South African National Biodiversity Institute (SANBI) provides validation data and implementation support.

These aren't just pilot projects—they're building the technical capacity that allows countries to manage their wetlands independently. Each implementation adapts the core workflow to national classification systems and conservation priorities, creating customized monitoring approaches while maintaining continental consistency.

Kenya's Yala Swamp, one of East Africa's largest wetlands, demonstrates the potential. Using the new tools, conservation teams track seasonal water variations, detect agricultural encroachment through vegetation analysis, and monitor restoration efforts—all without constant expensive field surveys. The satellite data reveals patterns that ground teams would struggle to see: how flooding connects different wetland zones, where habitat fragmentation is occurring, and which restoration interventions are working.

How the Technology Works

The technical foundation combines three decades of satellite observations with artificial intelligence that can process massive datasets without requiring expensive local computing infrastructure.

Landsat satellites provide the historical baseline, with imagery at 30-meter resolution dating back to 1984. The European Space Agency's Copernicus Sentinel satellites add higher-frequency monitoring, passing over the same area every five days. Google Earth Engine handles the processing, running computations in the cloud so users don't need powerful computers.

According to Dr. James Mumina Muthoka, a Research Fellow in Earth Observation at the University of Sussex, "AI and machine learning analyse large datasets to detect patterns and predict changes in species distribution. These tools assess the impact of environmental stressors, like climate change, and inform proactive conservation strategies."

The workflow includes several specialized components. Water Observations from Space (WOfS) analyzes every available satellite image since 1984, creating a "water history" for each 30-meter pixel: how often has this spot been wet? This distinguishes seasonal wetlands from permanent water bodies and reveals flood patterns that matter for conservation planning.

The Waterbodies Monitoring Service tracks individual wetland size and shape changes month by month, monitoring water level variations and detecting encroachment from agriculture or urban development. When significant changes occur—a wetland shrinking by 20%, for example—the system can generate alerts.

The Wetland Insight Tool combines these data sources into single analyses, generating reports that match Ramsar Convention requirements and producing maps ready for conservation planning. Users can compare different time periods, seeing exactly how a wetland has changed between 2000 and 2024, or track recovery after restoration interventions.

What Makes This Accessible

Traditional wetland monitoring requires field teams physically visiting sites, compiling snapshots in time that become outdated quickly. The process is expensive, limited to accessible areas, and produces inconsistent data using different methods in different countries.

Satellite monitoring flips that model. The same satellites observe every wetland simultaneously, building a continuous 30-year record that covers remote and dangerous sites as easily as accessible ones. Processing happens in the cloud, eliminating the need for expensive software licenses or powerful computers. Everything runs in web browsers.

Digital Earth Africa provides pre-written code notebooks—users customize existing frameworks rather than coding from scratch. Training modules walk through each step, and implementing countries share knowledge through a growing community of practice.

The workflow developer, Mpho Sadiki, designed it specifically to overcome resource constraints. "The workflow is designed to overcome these barriers by using free, accessible data and adaptable code, allowing countries to create detailed wetland maps and monitor changes over time," Sadiki explains.

Countries adapt the core framework to their needs: defining wetland classification systems that match national standards, setting monitoring priorities based on conservation goals, calibrating algorithms using local validation data, and generating outputs formatted for national reporting requirements. South Africa's wetland types differ from Senegal's, and the workflow accommodates both.

Why Wetlands Matter

The technical capabilities matter because wetlands themselves matter. They provide flood regulation that protects communities during extreme weather, water purification that maintains drinking water quality, and carbon sequestration that helps mitigate climate change. These aren't abstract environmental services—they translate directly into economic value and human safety.

Over 40% of the world's bird species depend on freshwater wetlands for feeding and nesting. Fish populations use wetlands as breeding grounds. Amphibians rely on them for reproduction. The biodiversity supported by wetlands extends far beyond the wetland boundaries themselves.

Kenya's Yala Swamp illustrates the connection between monitoring and conservation outcomes. Community-led conservation initiatives there balance human needs with biodiversity protection through sustainable land management. Wetland restoration enhances climate resilience and protects water resources. But none of that works without knowing what's happening—which areas are degrading, which interventions are succeeding, where to focus limited conservation resources.

What Comes Next

Digital Earth Africa participated in high-level discussions at Ramsar COP15 on National Wetland Inventories and the global GEO Wetlands Initiative. The organization is now working to expand the tools to more African countries and integrate wetland monitoring with climate adaptation planning.

The four implementing countries are building the evidence base that other nations will use to justify adoption. As RCMRD, CSE, and SANBI demonstrate results—more accurate wetland inventories, better conservation targeting, improved Ramsar reporting—the case for continental adoption strengthens.

"The new Digital Earth Africa tools strengthen the capacity of African Contracting Partners to meet their obligations to the Ramsar Convention on Wetlands using the latest satellite technologies," Dr. Rebelo notes. "We are excited to expand our efforts to support national inventories, enhance Ramsar site monitoring, and assist countries with capacity-building initiatives."

The technical infrastructure is ready. The training materials exist. The partnerships are forming. What happens next depends on whether African governments recognize wetland monitoring as essential infrastructure for climate adaptation and biodiversity conservation—and whether they invest in the technical capacity to use these tools effectively.