Implementation Guides

Unraveling the Where: A Deep Dive into Geolocation (GEOINT) for OSINT

CSNP Team July 31, 2023
Unraveling the Where: A Deep Dive into Geolocation (GEOINT) for OSINT

Learn how to conduct geolocation analysis using OSINT techniques. Discover tools and methods for identifying locations from photos and videos.

Geolocation, a valuable subset of geospatial intelligence (GEOINT), enables researchers to determine the "where" component of investigative work through analysis of visual materials and other available information. This guide explains how to conduct geolocation analysis, the tools available, and best practices for accurate results.

What is Geolocation in OSINT?

Geolocation in OSINT involves determining the physical location where a photo or video was taken by analyzing visual elements, metadata, and contextual clues. It's a critical skill for journalists verifying breaking news, researchers investigating incidents, and security professionals tracking threats.

Key Geolocation Techniques

1. Metadata Analysis

Images and videos often contain embedded metadata (EXIF data) that may include GPS coordinates, camera information, and timestamps.

  • Check EXIF data using tools like ExifTool or Jeffrey's Exif Viewer
  • Note: Many platforms strip metadata when uploading
  • Original files are more likely to contain location data

2. Visual Clue Analysis

When metadata isn't available, analyze visual elements:

Natural Features

  • Mountain shapes and terrain
  • Vegetation types and seasonal indicators
  • Sun position and shadow direction
  • Water bodies and coastlines

Man-Made Features

  • Architecture styles and building types
  • Road signs and street names
  • License plates and vehicle types
  • Power line configurations
  • Advertising and brand names
  • Language on signs and billboards

Infrastructure Clues

  • Cell towers and antenna types
  • Traffic light designs
  • Road markings and lane configurations
  • Utility pole styles

3. Shadow Analysis

Shadows can reveal time of day and approximate geographic location:

  • Shadow length indicates sun angle
  • Shadow direction indicates cardinal direction
  • Combined with date estimates, can narrow location significantly
  • Tools like SunCalc help calculate sun positions

Essential Geolocation Tools

Mapping Platforms

  • Google Earth Pro - Historical imagery and 3D terrain
  • Google Street View - Ground-level verification
  • Bing Maps - Bird's eye view from different angles
  • Yandex Maps - Better coverage in Russia/Eastern Europe
  • Mapillary - Crowdsourced street-level imagery

Specialized Tools

  • SunCalc - Sun position calculator
  • Shade Map - Shadow simulation
  • What3Words - Precise location identification
  • GeoGuessr - Practice geolocation skills
  • Overpass Turbo - OpenStreetMap query tool

Reverse Image Search

  • Google Images - Find similar images
  • TinEye - Track image origins
  • Yandex Images - Often better for faces and locations

The Geolocation Process

Step 1: Initial Assessment

Review the image/video for obvious location indicators—language, landmarks, unique features.

Step 2: Extract All Clues

Document every potential identifier systematically.

Step 3: Research and Cross-Reference

Use multiple sources to verify and narrow down possibilities.

Step 4: Verify with Mapping Tools

Use satellite imagery and street view to confirm your hypothesis.

Step 5: Document Your Process

Record your methodology for verification and future reference.

Common Challenges

  • Images may be cropped or edited
  • Locations can change over time
  • Similar-looking locations in different countries
  • Intentional misdirection by subjects
  • Limited street view coverage in some regions

Ethical Considerations

Geolocation is a powerful tool that must be used responsibly:

  • Don't reveal locations that could endanger people
  • Consider the privacy implications of your research
  • Verify before publishing—false geolocation can cause harm
  • Be transparent about confidence levels

Conclusion

Geolocation is a fascinating skill that combines attention to detail, research abilities, and creative problem-solving. With practice and the right tools, you can learn to extract valuable location information from visual materials—a skill increasingly important in our connected world.


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