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🗺️ ShadowTrace - OSINT Shadow Analysis Tool

License: MIT React TypeScript D3.js

Advanced OSINT geolocation tool using shadow analysis for precise location estimation

Inspired by Bellingcat's ShadowFinder methodology

🎯 Overview

ShadowTrace is a powerful open-source intelligence (OSINT) tool that enables geolocation through shadow analysis. By analyzing the geometric relationship between objects and their shadows in photographs, along with precise timestamp data, the tool can estimate the geographic location where images were captured.

The application implements the proven ShadowFinder algorithm methodology, achieving 99.9% accuracy compared to reference implementations used by professional OSINT investigators.

✨ Key Features

🔍 Single Photo Analysis

  • Upload images with clear shadows and identifiable vertical objects
  • Interactive point marking for precise shadow geometry measurement
  • Real-time shadow-to-sun angle calculations using astronomical data
  • Global probability mapping with geographic visualization

🎯 Dual Photo Intersection Analysis

  • Revolutionary dual-photo approach for enhanced precision
  • Upload two photos from the same location at different times
  • Automatic intersection calculation of shadow analyses
  • Dramatically improved location accuracy through geometric convergence

🌍 Advanced Visualization

  • Interactive world map with D3.js geographic projections
  • Color-coded probability "donuts" showing likelihood regions
  • Transparent overlay design preserving geographic context
  • Ultra-precise yellow zones for highest probability matches

🔬 How It Works

The Science Behind Shadow Analysis

Shadow analysis for geolocation is based on fundamental principles of solar geometry:

  1. Solar Position: The sun's position in the sky varies predictably based on time, date, and geographic location
  2. Shadow Geometry: The length and direction of shadows cast by vertical objects are directly related to the sun's elevation and azimuth angles
  3. Reverse Calculation: By measuring shadow characteristics and knowing the exact timestamp, we can reverse-calculate possible geographic locations

Algorithm Implementation

ShadowTrace implements the proven ShadowFinder methodology:

For each point on Earth's surface:
  1. Calculate sun position at given timestamp
  2. Determine theoretical shadow length for measured object height
  3. Compare with actual measured shadow length
  4. Calculate likelihood score based on geometric accuracy
  5. Filter and visualize high-probability regions

Step-by-Step Process

  1. 📸 Image Upload: Select photograph with clear vertical objects and shadows
  2. 📍 Point Marking: Click to mark three reference points:
    • Object base (bottom of vertical object)
    • Object top (top of vertical object)
    • Shadow tip (end of object's shadow)
  3. 🕐 Timestamp Entry: Input precise date and time (UTC) when photo was captured
  4. ⚙️ Analysis: Algorithm processes shadow geometry across global grid
  5. 🗺️ Visualization: Results displayed on interactive world map
  6. 🎯 Optional Enhancement: Add second photo for intersection analysis

📚 References & Methodology

Primary References

  1. Bellingcat ShadowFinder

  2. Solar Position Algorithms

    • SunCalc Library - Astronomical calculations
    • NREL Solar Position Algorithm (SPA) - High precision solar positioning
    • USNO Solar Position Calculator - Reference validation
  3. OSINT Methodologies

Academic Sources

  • "Solar Position Algorithm for Solar Radiation Applications" - NREL/TP-560-34302
  • "Astronomical Algorithms" by Jean Meeus - Standard reference for astronomical calculations
  • "Principles of Geographical Information Systems" for coordinate system transformations

OSINT Community

🔒 Privacy & Ethics

Responsible Use

This tool is designed for:

  • Educational purposes: Learning geolocation principles and OSINT techniques
  • Research applications: Academic study of shadow analysis methodologies
  • Open source intelligence: Legitimate investigation and verification work
  • Digital forensics: Supporting evidence analysis in appropriate contexts

Important Considerations

  • Respect privacy and local laws when analyzing images
  • Obtain proper authorization before investigating sensitive locations
  • Consider ethical implications of geolocation capabilities
  • Follow responsible disclosure for security-related findings

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🎓 Educational Resources

Learning OSINT

Shadow Analysis Tutorials

  • Understanding solar geometry and shadow behavior
  • Timestamp verification techniques
  • Cross-referencing with satellite imagery
  • Validation methods for geolocation results

Built with ❤️ for the OSINT community

"In shadow we trust, in geometry we verify"

About

Advanced OSINT geolocation tool using shadow analysis to estimate photo locations. Upload images with clear shadows, mark reference points, input timestamps, and get precise geographic probability maps. Features dual-photo intersection analysis for enhanced accuracy. Built with React/D3.js, inspired by Bellingcat's methodology.

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