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K4GGWA Platform

Welcome to the GGW Restoration Dashboard!

The Great Green Wall (GGW)

The idea of a 'Great Green Wall' or 'Green Front' to stop the southward expansion of the Sahara Desert has been around since the 1950s. In the 1970s, the vision was to create a mosaic of green and productive landscapes across the entire width of Africa, from Senegal in the west to Djibouti in the east. Today, the GGW initiative aims to combat land degradation and desertification, improve food security, and enhance livelihoods for millions of people living in the region. It has evolved beyond a green wall to a more holistic approach that includes ecosystem restoration and sustainable land management across the Sahel region and beyond.

About this dashboard

In this dashboard, we focus on monitoring and analyzing various environmental parameters across the GGW region to support these goals using the latest remote sensing and machine learning approaches and building on comprehensive data collected across the region.
Sahel nature
Sahel oasis

Regional Synthesis

All countries in the GGW are showing warming trends... (click to expand)

Over the past seven decades, the Sahel has warmed by roughly 1.5–2 °C, with a consistent upward trend of ~0.2–0.3 °C per decade across both western and eastern parts of the region. Both mean temperatures and warm extremes have increased, with marked rises in hot days, warm nights, and heatwave frequency.

Great Green Wall Country Comparison — Temperature Trends

Climate Analysis

Understanding the spatial patterns of climate trends and short term weather events is important for assessments of climate risks across the GGW region. Some of the metrics we track in the dashboard include rainfall patterns, changes in number of rainy days, drought frequencies, and extreme weather events such as rainfall and flooding.
🌧️ Precipitation Trends • 📊 Climate Variability • 🌡️ Temperature Analysis

Vegetation Trends

Long-term vegetation (2001-2024) cover trends reveal climatic and human-induced ecosystem changes. Vegetation, or land cover, dynamics and trends allow us to track deforestation and other changes in land use, drought impacts, and restoration progress across the region.
🌿 NDVI Trends • 📈 Vegetation Health • 🌱 Restoration Monitoring

Land Health Dynamics

Ecosystem functioning is complex and dynamic. Multiple indicators provide insights into land health. Analyze soil organic carbon, erosion patterns, tree cover, and ecosystem interactions for comprehensive understanding.
🌍 Soil Health • 🌳 Tree Cover • 🔄 Ecosystem Dynamics

Welcome to the climate module!

Explore climate events and trends

This module visualizes critical climate variables across the Great Green Wall corridor.
Location Filter
Temperature (°C) (ERA5, 1940–2025)
About temperature

Mean annual 2m air temperature from ERA5 reanalysis (1940–2025). The map shows long-term average temperatures and warming trends across the GGW corridor.

Use the Location Filter above to zoom to a region, or click on the map to show trends for a certain location.
About precipitation

Mean annual total precipitation from CHIRPS (1981–2025). CHIRPS blends satellite imagery with ground station data to produce high-resolution rainfall estimates.

Use the Location Filter above to zoom to a region, or click on the map to show trends for a certain location.

Average annual precipitation
200500800110014001700200025003000
mm / year
Precipitation (mm) (CHIRPS, 1981–2025)
Maximum Daily Rainfall Intensity Trend (GPM, 2001–2025)
About rainfall intensity

Trend in maximum daily rainfall intensity from GPM IMERG (2001–2025), expressed in mm per decade. Positive values indicate increasing extreme rainfall events.

Intensifying rainfall extremes increase flood and erosion risk across the Sahel, threatening restoration efforts along the corridor.

Rainfall intensity trend
-20-10-5051020
mm / day
Live Weather Map (Windy)
Click on the map to see a forecast for that location.
Tracking vegetation cover trends is essential for understanding ecosystem health and land use changes. When looking at long-term changes in vegetation cover, we use a satellite-derived vegetation index, such as the Enhanced Vegetation Index (EVI). The EVI is a greenness index where higher EVI values indicate more green, healthy vegetation, while lower values indicate less vegetation or unhealthy plants. Decreasing EVI trends can indicate deforestation, land use change or increased droughts, while general increases can indicate effective landscape-level restoration, increased water supply or changes in land management.

EVI time series are essential for monitoring the effectiveness of land restoration efforts and improved management practices. Changes in vegetation trends provide evidence of:

  • Restoration Success: Positive trends indicating vegetation recovery following intervention
  • Land Degradation: Negative trends revealing areas requiring attention
  • Management Impacts: Assessment of conservation and sustainable land management outcomes

This monitoring supports evidence-based decision-making for land managers, policymakers, and conservation practitioners.

Click to expand filters

Multi-temporal Vegetation Trend Analysis

Enhanced Vegetation Index

The Enhanced Vegetation Index (EVI) is a satellite-derived metric that measures vegetation greenness and health.

MODIS EVI sample

Vegetation Time Series

Our analysis creates comprehensive time series of vegetation dynamics from 2000 to present, capturing seasonal patterns and long-term trends.

EVI time series example
Mali
Niger
Ethiopia
Senegal
Ghana

Click to expand filters

Land Health Indicators Map
Show layers:

Drylands

Drylands cover 60% of Africa and are characterized by water scarcity.

Rangelands

Rangelands support pastoralism, central to millions of livelihoods.

Agroforestry

Trees on farms provide food, feed and energy for millions of households.

Land Health

Land health refers to the capacity of land to sustain ecosystem functions.

The Regreening App

Empowering local communities to track, monitor, and scale land restoration across the Great Green Wall. Community-driven science meeting state-of-the-art technology.

Community-Driven Monitoring

The Regreening App is an Android-based mobile application designed to overcome the challenge of lacking reliable, location-specific data on the effectiveness of land restoration practices. Developed in consultation with implementing partners, agricultural extension agents, and farmers, the app facilitates the collection of robust quantitative and qualitative data. By blending citizen science with real-time analytics, it allows communities to take ownership of monitoring while providing critical insights to policymakers and project managers.

Why Citizen Science?

  • Scalability: Engage thousands of local actors to monitor vast operational areas.
  • Real-time Insights: Direct feedback loops combining ground-truth data with satellite Earth Observation.
  • Community Ownership: Fostering stewardship and pride in local restoration outcomes.

App Modules

Tree Planting

Record new plantings, species details, survival rates, and management practices. Track growth with georeferenced photo evidence.

FMNR

Farmer Managed Natural Regeneration. Document the protection and management of existing root stocks, measuring density and species diversity.

Nurseries

Track seedling production, species diversity, and distribution. Support local enterprise and ensure quality planting material supply.

Rangeland Restoration

Monitor restoration of grazing lands. Track soil health and vegetation recovery in critical pastoral ecosystems.

Join the Regreening Movement

Are you working on land restoration in the Sahel? Integrate the Regreening App into your project's M&E framework.