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Africa & Nigeria

15 ways geospatial AI meets this moment

Each use case is tied to a recent development and laid out as problem, solution and benefit.

Impact-based flood early warning#1

Impact-based flood early warning

Why now: The May 2025 Mokwa flash flood in Niger State killed at least 200 people (AP), and NIHSA's annual flood outlooks keep flagging hundreds of high-risk LGAs.

Problem
Forecasts say where rain will fall, not which homes, roads and farms will flood, so warnings arrive generic and late.
Our solution
We fuse Sentinel-1 radar, rainfall nowcasts, terrain models and river gauges into street-level inundation maps, then push alerts by SMS, WhatsApp and USSD.
Benefit
Hours to days of lead time for evacuations, prepositioned relief and protected assets.
  • State emergency agencies
  • Insurers
  • NGOs
Discuss this use case
Address-level climate risk on the new digital postcode#2

Address-level climate risk on the new digital postcode

Why now: In March 2026 the FEC approved Nigeria's GIS-based National Digital Alphanumeric Postcode System, which NIPOST is rolling out to give every building a machine-readable address.

Problem
Banks, insurers and logistics firms can't price or route around flood, heat or erosion risk when addresses are informal.
Our solution
We join each digital postcode to our hazard layers, so any address returns a flood, heat and erosion risk score through an API.
Benefit
Fairer insurance and lending, faster emergency dispatch, and smarter last-mile delivery.
  • Banks & insurers
  • Logistics
  • Emergency services
Discuss this use case
Climate alerts in Hausa, Yoruba and Igbo#3

Climate alerts in Hausa, Yoruba and Igbo

Why now: Nigeria's open-source N-ATLAS language model, launched in 2025, understands Hausa, Yoruba, Igbo and Nigerian-accented English.

Problem
Most hazard warnings go out in English text, which leaves out millions of rural and low-literacy residents.
Our solution
We pair our hazard engine with N-ATLAS to generate plain-language voice and text advisories in local languages, delivered over IVR and WhatsApp.
Benefit
Warnings people actually understand, so more of them act early.
  • Agriculture extension
  • Public health
  • Local government
Discuss this use case
Crop and land mapping with Earth embeddings#4

Crop and land mapping with Earth embeddings

Why now: Geospatial foundation models (NASA-IBM Prithvi, ESA-IBM TerraMind, Clay) and Google's AlphaEarth satellite embeddings have made planet-scale learned features freely available.

Problem
Building crop-type and land-cover maps for Africa used to need thousands of field labels and months of model training.
Our solution
We fine-tune foundation models and run similarity search over Earth embeddings with only a few hundred Nigerian ground-truth points.
Benefit
National crop, farmland and land-use maps in weeks rather than years, at a fraction of the cost.
  • Agribusiness
  • Food security programmes
  • Agri-lenders
Discuss this use case
Who is exposed? Population-hazard overlays#5

Who is exposed? Population-hazard overlays

Why now: GRID3 published updated population estimates for sub-Saharan Africa in 2026, and in April 2026 the Federal Government launched an 18-month push with NPC and UN partners to modernise Nigeria's national geospatial database.

Problem
Responders often don't know how many people, schools or clinics sit inside a hazard zone.
Our solution
We overlay gridded population, health facilities and settlements on live hazard maps to estimate exposure in minutes.
Benefit
Relief sized to real need, plus evidence for budgets and donor reporting.
  • NEMA / SEMAs
  • Humanitarian agencies
  • Health ministries
Discuss this use case
Gully erosion early detection in the South-East#6

Gully erosion early detection in the South-East

Why now: Anambra, Imo, Abia and Enugu have hundreds of active gullies that swallow roads and homes every rainy season.

Problem
Gullies are mapped after they've destroyed infrastructure, not while they're forming.
Our solution
We use InSAR ground-motion analysis, high-resolution DEMs and AI change detection to flag slopes that are starting to fail and to rank interventions.
Benefit
Cheaper prevention instead of costly reconstruction, and safer communities.
  • State works ministries
  • Development finance
  • Road agencies
Discuss this use case
Oil spill detection and clean-up verification#7

Oil spill detection and clean-up verification

Why now: The Ogoniland clean-up by HYPREP and continuing pipeline incidents keep the Niger Delta's environmental recovery under scrutiny.

Problem
Spills on creeks and mangroves can go unreported for days, and remediation is hard to verify independently.
Our solution
We use Sentinel-1 SAR slick detection and multispectral vegetation-recovery indices to produce automated alerts and clean-up progress dashboards.
Benefit
Faster response, transparent remediation reporting and evidence for communities and regulators.
  • Regulators
  • Oil & gas operators
  • Host communities
Discuss this use case
Solar mini-grid siting and demand forecasting#8

Solar mini-grid siting and demand forecasting

Why now: The World Bank-backed DARES programme is financing distributed renewable energy for millions of Nigerians off the grid.

Problem
Developers lose money on poorly sited mini-grids with uncertain demand.
Our solution
We combine building footprints, night-time lights, solar irradiance and economic activity to score and rank sites and forecast load.
Benefit
Bankable site pipelines, faster financing and higher utilisation.
  • Mini-grid developers
  • REA
  • Impact investors
Discuss this use case
Satellite MRV for carbon and nature projects#9

Satellite MRV for carbon and nature projects

Why now: Nigeria finalised its Carbon Market Activation Policy in March 2025 and approved a National Carbon Market Framework ahead of COP30, opening the country to high-integrity carbon finance.

Problem
Buyers now reject credits without credible measurement, reporting and verification (MRV).
Our solution
We deliver biomass, canopy and mangrove-extent monitoring from satellite time series and foundation models, with auditable baselines and leakage checks.
Benefit
Credible credits that earn premium prices, plus lower verification costs.
  • Project developers
  • States
  • Corporate buyers
Discuss this use case
Illegal mining and river pollution watch#10

Illegal mining and river pollution watch

Why now: Ghana's galamsey crisis and artisanal mining in Zamfara, Niger and Osun states keep muddying rivers and spreading lead poisoning across West Africa.

Problem
Illegal pits appear faster than inspectors can find them, and turbidity spikes poison water supplies downstream.
Our solution
We use weekly satellite change detection of new pits and cleared land, together with water-turbidity indices along river networks.
Benefit
Targeted enforcement, protected water supplies and evidence for policy.
  • Mining regulators
  • Water utilities
  • Environmental agencies
Discuss this use case
Dam safety and dam-break flood modelling#11

Dam safety and dam-break flood modelling

Why now: The Alau Dam collapse on 10 September 2024 flooded large parts of Maiduguri and displaced at least 400,000 people (NEMA).

Problem
Many Nigerian dams have no published inundation maps, so downstream residents don't know if they're in harm's way when a dam overtops or fails.
Our solution
We monitor reservoir levels and embankment deformation with satellite altimetry and InSAR, and model dam-break inundation to produce downstream evacuation maps.
Benefit
Earlier spillway decisions, targeted evacuations and evidence for dam rehabilitation budgets.
  • River basin authorities
  • State emergency agencies
  • Water ministries
Discuss this use case
Drought and water stress in the Lake Chad basin#12

Drought and water stress in the Lake Chad basin

Why now: FAO estimates Lake Chad shrank by about 90% between 1963 and 2001. Lost water, pasture and fish stocks still drive food insecurity and conflict across the basin.

Problem
Aid and resilience programmes struggle to see where water, pasture and crops are failing before a crisis peaks.
Our solution
We track surface water, vegetation health and rainfall anomalies (CHIRPS, Sentinel-2, Landsat) to deliver monthly drought-stress maps and early-action triggers.
Benefit
Earlier, better-targeted assistance and planning for grazing corridors that reduces resource conflict.
  • Humanitarian agencies
  • North-East states
  • Food security programmes
Discuss this use case
Physical climate-risk analytics for IFRS S2 disclosure#13

Physical climate-risk analytics for IFRS S2 disclosure

Why now: Nigeria's FRC roadmap makes IFRS S1 and S2 sustainability reporting mandatory for public interest entities from 2028, and SEC required implementation plans by 15 October 2026.

Problem
Companies must disclose physical climate risk to their assets, but few have location-level hazard data for their sites and supply chains.
Our solution
We screen every asset location for flood, heat, drought, erosion and sea-level exposure under multiple climate scenarios, with board-ready reports.
Benefit
Compliant disclosures, better capital allocation and credibility with investors.
  • Listed companies
  • Banks & insurers
  • Auditors & advisors
Discuss this use case
Coastal erosion and ocean-surge monitoring#14

Coastal erosion and ocean-surge monitoring

Why now: Lagos and the Niger Delta face repeated ocean surges and shoreline retreat, while major new coastal infrastructure is being built along the Atlantic coast.

Problem
Shoreline change and surge exposure aren't monitored continuously, so investments and communities sit on a moving coastline.
Our solution
We extract shorelines from decades of satellite imagery, measure retreat rates and combine them with elevation and tide data to map surge-exposed assets.
Benefit
Safer siting of roads and estates, prioritised coastal protection and lower insurance losses.
  • Coastal states
  • Infrastructure developers
  • Real estate
Discuss this use case
Satellite-triggered crop insurance for smallholders#15

Satellite-triggered crop insurance for smallholders

Why now: Nigeria's food-price surge in 2024 exposed how exposed farmers and food supply are to drought, flooding and erratic rainfall.

Problem
Traditional crop insurance needs farm visits to assess losses, so it's too slow and costly for millions of smallholders.
Our solution
We build rainfall, soil-moisture and vegetation indices that trigger automatic payouts when a season fails, verified against Earth-embedding crop maps.
Benefit
Fast payouts, more lending to farmers and more stable food production.
  • Insurers
  • Agri-lenders
  • Farmer cooperatives
Discuss this use case

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