06/29/2026
“They Could Be Anywhere” — Part 2: Mapping the Path of Least Resistance
When a person goes missing or a suspect goes into a heavily wooded area to dispose of evidence, like a body, the default reaction is often a sense of overwhelm: "They could be anywhere." But as an investigator, you know that isn’t entirely true. Human behavior can be driven by predictable patterns.
Statistically, whether we are looking for a lost hiker, a disoriented dementia patient, or a suspect attempting to quickly dispose of evidence, humans may overwhelmingly follow the path of least resistance. They stick to trails, old logging roads, or clearings. Suspects, in particular, almost always look for the earliest, most immediate spot to step off a path to dispose of evidence—typically within a specific, predictable distance from a road or trail.
The real problem isn't that they could be anywhere. The problem is that traditional maps leave us completely blind to where those paths actually are.
The Data Evolution: From Postcards to Blueprints
Look at the attached graphic. It perfectly illustrates why relying on standard mapping is a massive logistical risk during an active search or a cold case review:
• Google Earth & Standard Orthomosaics: You are looking at a dense, beautiful green canopy. It looks uniform. The ground, the hidden trails, and the true topography are completely invisible.
• QGIS Hillshade (The LiDAR Advantage): This isn't a photo; it's pure, centimeter-accurate data manipulation. By stripping away the canopy layer from the point cloud, we reveal the bare earth. Look closely at the image—networks of hidden footpaths, old trails, and micro-terrain changes suddenly appear out of nowhere.
• Ortho-Hillshade Overlay: By stacking the visual data back over the terrain map, we build the ultimate living database.
Instead of guessing where to send resources, this data allows command staff to say: "They aren't there, they likely couldn't walk through here, so we are going to focus our search teams right here."
Expanding the Operational Footprint
This isn't just a tool for wilderness Search and Recovery (SAR). This high-fidelity data manipulation shifts the paradigm across the entire investigative spectrum:
• ⚖️ For Crime Scene Investigations & Juries: A complex crime scene inside a forest shouldn't be a confusing mess of tree photos for a jury. By using LiDAR to classify and strip the scene, you can present a courtroom with a flawless, clear understanding of the ground. Juries can objectively see footpaths, lines of sight, slope severity, and the exact spatial layout of evidence without the visual clutter of dense brush.
• 🔍 For Private Investigators: When handling a private missing person case, the phrase "they could be anywhere" is agonizing for a family. By utilizing specialized aerial scanning, an investigator can systematically and scientifically "clear" specific areas of interest—providing families with definitive, data-backed peace of mind.
DATA OVERRIDES GUESSWORK. By converting millions of 3D data points into actionable intelligence, we stop searching blindly and start directing resources with laser precision.
The data is there. We just have to look beneath the surface.