Case Study: Satellite Credit Scoring — 44 Farmers Scored From Space
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Case Study: Satellite Credit Scoring — 44 Farmers Scored From Space

MB
Maputo Bridge Capital
Maputo Bridge Capital

Case Study: Satellite Credit Scoring — 44 Farmers Scored From Space

Farmers: All 44 COJAZ members
Technology: Sentinel-2 satellite, MBC credit scoring algorithm
Blockchain: Blocks #46-52

The Challenge

95% of Mozambican farmers are unbanked. No credit history. No bank statement. No collateral. Traditional banks cannot lend to them. Without a credit score, no investor will fund them.

The Solution

MBC scores farmers using 6 alternative data sources:

  1. Satellite NDVI (30% weight) — Sentinel-2 satellite measures crop health from space. Zambézia NDVI: 0.78 (highest in Mozambique). Healthy crops = reliable farmer.
  2. Mobile Money Activity (15% weight) — M-Pesa transaction patterns reveal payment behavior.
  3. Weather & Climate Risk (15% weight) — Open-Meteo API provides 30-day rainfall vs historical average. Zambézia: 27mm rain, 80/100 weather score.
  4. Farm Profile (15% weight) — Farm size (11.4 hectares average), years farming, cooperative membership.
  5. Repayment History (15% weight) — Track record of loan repayments.
  6. Community Verification (10% weight) — Verified by field agent (Anselmo Boaventura), cooperative membership.

The Data

  • Farmers scored: 44 (4 via live calculation, 40 via batch)
  • Average credit score: 526/850 (Grade D — new, unverified)
  • Verified members: 608/850 (Grade C)
  • NDVI: 0.78 (healthy crops confirmed from space)
  • Weather score: 80/100 (good rainfall)
  • Processing time: 3.7 seconds per farmer
  • Cost per score: $0
  • Bank account required: NO

Key Lesson

A satellite 786 km in space knows more about a farmer's creditworthiness than any bank in Maputo. When crops are healthy (NDVI 0.78), the farmer is reliable. No bank statement needed.

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satellite credit scoring MozambiqueNDVI credit scorealternative credit scoring Africaunbanked farmers creditSentinel-2 agricultureMBC credit model

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