# Chronolocation

> Techniques for determining when an image or video was captured using sun position, shadows, seasonal cues, and metadata analysis.

- **URL:** https://hackindex.io/platforms/osint/geolocation-and-imagery-intelligence/chronolocation
- **Path:** OSINT > Geolocation & Imagery Intelligence
- **Up:** [Geolocation & Imagery Intelligence](https://hackindex.io/platforms/osint/geolocation-and-imagery-intelligence.md)
- **Published:** 2026-08-10
- **Updated:** 2026-08-10

## What This Is

Chronolocation determines when an image was captured from its content, the counterpart to geolocation. Shadows fix the time of day and, with a known location, the date. Weather visible in the frame can be matched against historical records to confirm or narrow a date. Seasonal cues such as vegetation and snow bound the time of year. Together these pin an image in time and cross-check any claimed timestamp.

## When to Use This

Use chronolocation when you need to:

- Establish when a photo or video was actually taken, independent of any claimed date
- Confirm or refute a stated capture time
- Order a set of images into a timeline
- Corroborate a location by matching visible weather to records for a candidate place and date

## The Workflow

Chronolocation usually follows geolocation, because shadow analysis needs a known location to convert sun position into a time. With the location fixed, measure shadow direction and length to derive the sun's azimuth and elevation, and solve for the time and date. Then corroborate with weather records and seasonal cues, and reconcile the result against any EXIF timestamp.

## Subpages

- [Shadow and Sun Position Analysis](https://hackindex.io/platforms/osint/geolocation-and-imagery-intelligence/chronolocation/shadow-and-sun-position-analysis): derive time and date from shadows at a known location
- [Weather and Environmental Correlation](https://hackindex.io/platforms/osint/geolocation-and-imagery-intelligence/chronolocation/weather-and-environmental-correlation): match visible weather and season against historical records

## OpSec Note

Chronolocation works entirely from the image and public archives, so it is fully passive against the target. The main risk is analytical: a shadow or weather match narrows time but rarely proves it alone, so treat each result as one corroborating line among several rather than a conclusion.

## Steps

- [Shadow and Sun Position Analysis](https://hackindex.io/platforms/osint/geolocation-and-imagery-intelligence/chronolocation/shadow-and-sun-position-analysis.md): Leverage shadow length, angle, and solar position data to determine geographic location, time, and date from imagery using astronomical calculations.
- [Weather and Environmental Correlation](https://hackindex.io/platforms/osint/geolocation-and-imagery-intelligence/chronolocation/weather-and-environmental-correlation.md): Correlate weather patterns, lighting, shadows, and environmental cues in imagery to verify locations, timestamps, and authenticity of open-source intelligence.