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Documentation Index

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Overview

CreditNexus uses SentinelHub to access satellite imagery for verification workflows, including NDVI analysis, land use classification, and green finance assessments. Code Reference: app/agents/verifier.py
Configuration: app/core/config.py (SENTINELHUB_KEY, SENTINELHUB_SECRET)

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Prerequisites

  1. SentinelHub Account: Sign up at https://www.sentinel-hub.com/
  2. OAuth Credentials: Generate OAuth client ID and secret
  3. API Access: Enable API access in your account

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Step 1: Create SentinelHub Account

  1. Visit: https://www.sentinel-hub.com/
  2. Sign up for a free account
  3. Verify your email address

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Step 2: Generate OAuth Credentials

  1. Log in to SentinelHub: https://www.sentinel-hub.com/
  2. Navigate to: User Settings → OAuth clients
  3. Create a new OAuth client:
    • Name: CreditNexus (or your preferred name)
    • Redirect URI: Leave empty (not needed for API access)
  4. Copy credentials:
    • Client ID (this is your SENTINELHUB_KEY)
    • Client Secret (this is your SENTINELHUB_SECRET)

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Step 3: Configure Environment Variables

Add to your .env file: 
# SentinelHub OAuth Credentials
SENTINELHUB_KEY=your_client_id_here
SENTINELHUB_SECRET=your_client_secret_here
Security Note: Never commit SENTINELHUB_SECRET to version control!

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Step 4: Verify Configuration

Test the configuration by running a verification workflow:
  1. Upload a credit agreement with a collateral address
  2. Trigger verification in the Verification Demo
  3. Check logs for SentinelHub API calls
  4. Verify satellite imagery is fetched successfully

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API Usage

SentinelHub is used automatically by the verification workflow: 
from app.agents.verifier import VerifierAgent

agent = VerifierAgent()
result = agent.verify_collateral(
    address="123 Main St, City, State",
    spt_requirements={"ndvi": 0.75}
)
Code Reference: app/agents/verifier.py

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Satellite Data Sources

CreditNexus uses SentinelHub to access:
  • Sentinel-2: High-resolution multispectral imagery for NDVI analysis
  • Sentinel-5P: Coarse-resolution data for methane detection
  • Land Use Classification: TorchGeo ResNet-50 for land use analysis

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Rate Limits

SentinelHub has rate limits based on your account tier:
  • Free Tier: Limited requests per month
  • Paid Tiers: Higher rate limits
Best Practices:
  • Cache satellite imagery when possible
  • Use appropriate image resolution (lower for faster processing)
  • Monitor usage in SentinelHub dashboard

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Troubleshooting

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Issue: “Authentication failed”

Solutions:
  1. Verify SENTINELHUB_KEY and SENTINELHUB_SECRET are correct
  2. Check credentials haven’t expired
  3. Verify OAuth client is active in SentinelHub dashboard

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Issue: “No imagery available”

Solutions:
  1. Check date range (imagery may not be available for all dates)
  2. Verify location coordinates are correct
  3. Try a different date range
  4. Check cloud coverage (high cloud coverage may prevent imagery)

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Issue: “Rate limit exceeded”

Solutions:
  1. Implement caching for frequently accessed locations
  2. Reduce image resolution
  3. Upgrade SentinelHub account tier
  4. Implement request throttling

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Cost Considerations

SentinelHub pricing:
  • Free Tier: Limited requests per month
  • Paid Tiers: Pay-per-use or subscription models
Tips:
  • Use free tier for development and testing
  • Cache imagery to reduce API calls
  • Use appropriate resolution (lower = cheaper)

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Additional Resources

Last Updated: 2026-01-14
Code Reference: app/agents/verifier.py, app/core/config.py