DeepStrike is Subterrix’s automated site-prediction engine that divides your search area into a scored grid, ranking each cell from 0 to 100 using 31 data layers across two scoring passes. It pulls from historical records, AI-enhanced LiDAR, soil profiles, and live environmental feeds to identify where multiple sources converge — flagging the strongest ground and filtering out the weak. The deeper you explore how each layer works, the sharper your detecting decisions become.
Key Takeaways
- DeepStrike divides search areas into a scored grid, ranking each cell from 0 to 100 based on converging data sources.
- It analyzes 31 data layers including terrain, soil, historical records, and environmental feeds to assess detection potential.
- Higher scores reflect multi-source agreement across factors like military history, soil composition, and geographic features.
- Environmental factors alone contribute up to 55 points, making conditions a major influence on final cell scores.
- DeepStrike works best across large areas, helping detectorists filter weak ground and prioritize the strongest starting points.
What Does DeepStrike Actually Do?
DeepStrike is an automated site-prediction engine that divides a search radius into a grid and scores every cell using 31 data layers across two scoring passes.
You’re not guessing at where to start — you’re working from a system that aggregates historical context, terrain analysis, soil conditions, and geographic data to rank every cell against the others.
No more guessing — every cell is ranked by historical context, terrain, soil, and geography before you take a single step.
It’s built for larger areas like cities, towns, and regions where manual research would take weeks.
Enter a location, and DeepStrike runs an inverse scan across thousands of data points, identifying where multiple independent sources converge on the same ground.
It doesn’t guarantee finds, but it gives you a research-based advantage by filtering out weak ground and surfacing the strongest starting points before you ever leave the house.
What 31 Data Layers Go Into Every DeepStrike Analysis?
The system cross-references:
- Federal and historical records — NRHP sites, BLM land data, Library of Congress maps, and historical newspapers
- Terrain and geology — AI-enhanced LiDAR scans, USGS/NOAA aeromagnetic readings, and USDA soil profiles
- Environmental feeds — rainfall, humidity, ground temperature, wind, and pressure readings
You’re not getting a guess. You’re getting a ranked convergence of 33,000 data points working simultaneously to surface ground that earns your time and effort.
How Does DeepStrike Score Ground Out of 100?
When DeepStrike finishes scanning your target area, it ranks every grid cell on a scale from 0 to 100 based on how many independent data sources converge on the same location.
Your score breaks down into weighted categories — historical proximity, military activity, terrain features, soil conditions, and environmental factors — each contributing a defined numeric value to the total.
Understanding what drives those numbers helps you read your results strategically rather than treating the final score as a single, undifferentiated verdict.
Scoring Layers Explained
Because DeepStrike ranks locations on a 100-point scale, understanding what drives that score helps you interpret results accurately rather than treating the number as arbitrary.
Three primary scoring layers determine your result:
- Historical context — NRHP records, Library of Congress maps, and historical newspapers establish documented human activity at a location.
- Terrain analysis — AI-enhanced LiDAR identifies dips, old travel routes, and landscape features correlating with high-probability zones.
- Environmental conditions — Rainfall, humidity, ground temperature, wind, and pressure influence scoring up to 55 points.
Each layer contributes independently, but convergence across multiple sources drives the highest scores.
When historical documentation, terrain signatures, and soil data all point to the same cell, your score climbs. Divergence between layers naturally pulls it down.
What Impacts Your Score
Knowing which layers exist is only half the picture — understanding how they interact to produce your final number is what lets you read a score with confidence. DeepStrike ranks every cell out of 100 by measuring convergence — how many independent sources agree on the same location.
Historical accuracy drives the upper range; strong NRHP proximity, documented military activity, and corroborating archival sources push scores higher. Environmental factors cap contribution around 55, folding in rainfall, humidity, ground temperature, wind, and pressure.
Neither category operates in isolation — they compound or constrain each other. One additional variable you can’t ignore: each time a location gets rented, its score drops by three points. Scarcity is built into the model, and that depreciation reflects real competitive pressure on the ground.
What Does the Soil Intelligence Layer Reveal About Detection Conditions?
The soil intelligence layer, branded as GroundTruth, doesn’t just tell you what’s in the ground — it tells you whether the ground is worth hunting at all. By analyzing soil composition and mineral content, it calculates real detection difficulty before you leave your vehicle.
GroundTruth delivers three critical outputs:
- Surface iron levels — identifies interference your detector must manage based on mineralization data
- Metal survival probability — determines which metals remain intact given drainage class, moisture, and clay content
- Signal stability rating — calculates detection difficulty using texture, soil moisture, and aeromagnetic readings
It also cross-references current ground conditions against your specific detector settings, giving you a field-ready assessment rather than a generic recommendation.
How Do DeepStrike Results Translate to Detecting Decisions?
Once DeepStrike returns its scored grid, you’re not staring at raw data — you’re looking at a prioritized action plan. Each ranked cell translates directly into a field decision. High-scoring zones signal strong convergence across historical significance, terrain challenges, soil conditions, and documented activity — meaning you deploy there first.
High scores mean high priority — deploy there first, and let the data lead the way.
Lower scores don’t automatically disqualify a location, but they shift your allocation of time and effort. You’re essentially triaging ground before you ever leave home.
From there, you can pull coordinates directly to Google Maps, contact landowners through integrated lookup tools, and review soil intelligence to calibrate your detector settings before arrival.
DeepStrike compresses hours of fragmented research into a structured hierarchy — giving you the freedom to hunt smarter, not just harder.
When Does DeepStrike Work Best and When Does It Fall Short?
DeepStrike performs best when you’re working at scale — scanning cities, towns, or regions where 31 data layers have enough historical density to produce meaningful convergence scores.
It struggles when you’re already locked into a small, specific area. Three conditions define where it falls short:
- Sparse historical records reduce historical accuracy, weakening convergence signals across the grid.
- Flat, uniform terrain limits terrain influence, leaving fewer distinguishing geographic features to score against.
- Small search radii don’t give the engine enough cells to rank comparatively.
You’ll extract the most value when you’re deciding *where to start*, not confirming a location you’ve already chosen.
Think of it as a targeting system — effective when the search space is wide and the decision is still open.
Put DeepStrike to Work at the Club Rate
Now that you know how DeepStrike ranks ground, the next step is running it on your own area. Treasure Valley Metal Detecting Club members get Subterrix Elite for $8.99 a month instead of the standard $15.99, with 20% of every membership coming back to the club to fund hunts, raffles, and giveaways.
Join Subterrix under TVMDC for $8.99/month
Disclosure: TVMDC earns a share of membership revenue when you join through this link, at no extra cost to you.
Frequently Asked Questions
How Many Credits Does a Single Deepstrike Analysis Cost to Run?
Coincidentally, like freedom itself, great discoveries have a cost: you’ll spend two credits per DeepStrike run. This credit pricing makes cost analysis straightforward—two credits reveal the full 31-layer scoring engine for your chosen location.
Does Deepstrike’s Scoring Value Decrease After Multiple Users Access a Location?
Yes, DeepStrike’s scoring value does decrease with access frequency. Each time a location’s rented or used, the scoring impact diminishes by three points, so you’ll want to act on high-ranking sites quickly.
Can Deepstrike Send Detected Site Coordinates Directly to My Mobile Phone?
Knowledge is power—DeepStrike sends your detected site coordinates directly to your phone via QR code and Google Maps integration, ensuring satellite privacy and data encryption protect your freedom while you navigate recommended locations independently.
Does Deepstrike Include Landowner Contact Information Within Its Output Results?
Yes, DeepStrike includes landowner contact information directly within its output. You’ll access identification details from a single interface, though you should verify data accuracy independently and remain mindful of landowner privacy when making contact for permissions.
Can Deepstrike Generate a Detailed Expedition Report Beyond Its Standard Output?
Yes, you can generate an optional Expedition Report beyond standard output. Because apparently basic coordinates aren’t enough for your freedom-seeking adventures—DeepStrike delivers advanced mapping, satellite imagery, historical context, suggested routes, and coordinates for precise, analytical field planning.
References
- https://www.facebook.com/merrill.kazanjian/posts/what-is-subterrix-all-about-this-video-will-explain/10164165623704361/
- https://focusspeed.com/subterrix-addressing-misconceptions/
- https://www.subterrix.com/ground-truth
- https://www.youtube.com/watch?v=ZbMZTAVw1i0
- https://www.youtube.com/watch?v=e-2H0Gnq6Jg
- https://www.youtube.com/watch?v=1r74Bin55Qw
- https://www.youtube.com/watch?v=AKNhNCS9MYk
