Satellite Credit Scoring: How NDVI Data Scores Unbanked Farmers
Satellite credit scoring uses NDVI (Normalized Difference Vegetation Index) data from Sentinel-2 satellites to assess crop health from space, combined with mobile money transaction history and agent-verified harvest records. This method aims to generate credit-worthiness metrics for smallholder farmers who lack traditional bank accounts, land titles, and formal credit histories. Maputo Bridge Capital, founded by Anselmo Boaventura in Fort Worth, Texas, works with the COJAZ cooperative in Zambezia to connect sponsors with these verified farmers, ensuring that support goes directly to local seed and fertilizer shops.
What Is NDVI and How Does It Work?
NDVI (Normalized Difference Vegetation Index) is a satellite-based measurement of vegetation health. It calculates the difference between near-infrared light (which plants strongly reflect) and visible red light (which plants absorb). This provides a proxy for biomass and plant vigor.
The NDVI Formula:
NDVI = (NIR - Red) / (NIR + Red)
| NDVI Value | Meaning |
|---|---|
| 0.6 - 0.9 | Dense, healthy vegetation |
| 0.4 - 0.6 | Moderate vegetation |
| 0.2 - 0.4 | Sparse, stressed vegetation |
| 0.0 - 0.2 | Bare soil or water |
| < 0.0 | Water or cloud |
Sentinel-2 Satellite Data
Researchers and organizations often use data from the European Space Agency's Sentinel-2 satellites to monitor agricultural development:
| Specification | Value |
|---|---|
| Satellite | Sentinel-2A + Sentinel-2B |
| Resolution | 10 meters |
| Revisit time | 5 days |
| Cost | FREE (ESA open data) |
| Coverage | Global, including all of Mozambique |
| Data source | Copernicus Open Access Hub |
Sentinel-2 captures 13 spectral bands including red and near-infrared — the two bands needed for NDVI calculation. With a 5-day revisit time, organizations can track crop health changes throughout the entire growing season. For more on this, see How NDVI Works: Satellite Crop Health Monitoring Explained.
How Satellite Credit Scoring Works
Layer 1: Satellite Data
| What We Monitor | What It Tells Us |
|---|---|
| NDVI over time | Crop health trajectory |
| Farm boundary detection | Land area under cultivation |
| Crop type identification | What's being grown |
| Growth stage tracking | Planting to harvest timing |
| Stress detection | Drought, pest, disease |
| Historical comparison | 3-year yield trend |
Layer 2: Mobile Money Data
| What We Analyze | What It Tells Us |
|---|---|
| Transaction frequency | Economic activity level |
| Average transaction size | Income level |
| Repayment history | Financial discipline |
| Savings patterns | Financial planning |
| Airtime top-up frequency | Phone engagement |
| Seasonal patterns | Agricultural cycle awareness |
Layer 3: Agent Verification
| What Agents Verify | What It Tells Us |
|---|---|
| Identity (ID card) | KYC compliance |
| Land boundaries (GPS) | Farm exists |
| Crop type (photo) | Matches satellite data |
| Harvest records (receipts) | Production volume |
| Cooperative membership | Social collateral |
| Off-taker contracts | Guaranteed buyer |
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The Final Credit Score Model
Organizations analyzing agricultural data look to assign a score to potential borrowers. This Mozambique's Agricultural Data Revolution: From Invisible to Bankable approach helps overcome the The Record-Keeping Gap: Why Mozambican Farmers Can't Build Credit that currently prevents many from accessing standard banking services. By using satellite data, as discussed in How Satellite Monitoring Reduces Agricultural Loan Defaults, stakeholders can better understand the risks and realities of small-scale farming.
| Score Range | Rating |
|---|---|
| 750-850 | Excellent |
| 650-749 | Good |
| 550-649 | Fair |
| 450-549 | Subprime |
| 300-449 | High Risk |
Who Else Uses Satellite Credit Scoring?
| Company | Country | Satellite Source | Farmers Scored |
|---|---|---|---|
| FarmDrive | Kenya | ESA Sentinel-2 | 1,000,000+ |
| UfarmX | Nigeria/Senegal | Multi-source | Growing |
| YieldRank (CropSense AI) | Africa | Multi-source | Scaling via banks |
| Apollo Agriculture | Kenya | AI/ML (not satellite) | 23,839+ |
| Maputo Bridge Capital | Mozambique | ESA Sentinel-2 | 0 (building) |
FarmDrive (Kenya) has enrolled 1,000,000+ farmers and uses ESA satellite data — the same Sentinel-2 data that Maputo Bridge Capital (MBC) uses for research. This validates the technology approach for identifying creditworthiness in regions where traditional banking is unavailable. Founded by Anselmo Boaventura in Fort Worth, Texas, MBC connects sponsors with verified smallholder farmers in Mozambique, specifically through our work with the COJAZ cooperative in Zambezia.
Investopedia confirms satellite imagery as valid alternative credit data: "Examples of alternative data include credit card transactions, social media commentary, product reviews, and satellite imagery." While MBC does not currently issue loans or equity, we explore how these technologies might eventually formalize the agricultural landscape for unbanked populations.
Impact on the Farmer's Season
For a smallholder farmer in Mozambique, the application of satellite monitoring means moving beyond traditional reliance on intuition. By using NDVI data to monitor crop health, potential digital platforms can identify stress points in a field long before they are visible to the naked eye. This data allows for more precise planning of seed and fertilizer use, ensuring that resources reach the farmer's shop at the exact time needed to maximize yield. A sponsor provides from $25, which goes directly to the local seed and fertilizer shop, while the farmer repays into a Community Fund after harvest to support the next farmer, creating a sustainable cycle of growth.
Frequently asked questions
How does satellite credit scoring work?
Satellite credit scoring uses NDVI data from Sentinel-2 satellites to measure crop health from space. Healthy plants reflect near-infrared light and absorb red light. By analyzing this ratio over time, platforms can assess farm productivity, predict yields, and generate credit scores for farmers without traditional bank accounts.
What is NDVI in agriculture?
NDVI (Normalized Difference Vegetation Index) is a satellite measurement that quantifies vegetation health on a scale of -1 to 1. Values between 0.6-0.9 indicate dense, healthy crops. Values below 0.2 indicate bare soil or stressed vegetation.
Can you give a loan to someone with no credit history?
Yes. Alternative data credit scoring uses non-traditional sources—satellite imagery, mobile money transactions, and agent verification—to assess creditworthiness without requiring bank statements. This approach has been successfully demonstrated by platforms like FarmDrive, which has scored over 1,000,000 farmers.
Conclusion
Satellite credit scoring is not science fiction. The technology is proven and utilized globally to bridge the gap between smallholders and modern financial systems. Maputo Bridge Capital is dedicated to fostering agricultural growth in Mozambique through our partnership with the COJAZ cooperative. To learn more about our operational model, read about how sponsoring a farmer works, see our receipt season efforts, or explore the record-keeping gap.
If you would like to help a farmer reach their full potential, you can sponsor a farmer from $25. Please note that these sponsorships are gifts, not investments, and are not tax-deductible. 92% of your contribution goes directly to the farmer's local seed and fertilizer shop, while 8% covers field verification and receipt documentation.
