Almost every month, I receive the same panicked call: “We have this project and everyone seems to  be confusing photogrammetry and LiDAR. What the hell we are supposed to do?”  

Just like I shared my insights on the debate between traditional surveying and LiDAR; now, people  are asking me: “Should we opt for photogrammetry or LiDAR for our point clouds?” Having  consulted on over 100 point cloud projects, I can confidently say the same one truth applies here:  most people are asking the wrong question.  

The most important conversation does not revolve around which point cloud technology is better. It is  determining which option gives you the most value for your investment.  

In addition, much of the information you are receiving is biased. Equipment venders are pushing to  sell you devices, consultants are trying to sound intelligent, and no one is telling you what actually  works in practice.  

Let me help you there! 

Here’s What Actually Matters (Forget the Marketing BS) 

For the last ten years, I have monitored each and every project my company has worked on. This is  how the numbers actually look when you disregard all the claims made by the vendors: 

Business Reality Check  Photogrammetry  LiDAR Technology  What This Actually Means
Point Density  100-500 points/m²  1,000-5,000  

points/m²

More points ≠ better project
Field Time (Reality)  2-4 hours + weather  delays 30 minutes – 2 hours  LiDAR wins when weather  sucks
Processing Nightmare  8-16 hours of  

babysitting

2-6 hours of actual  work Your team’s sanity matters
Equipment Investment  $15,000-$50,000  $80,000-$500,000+  10x cost difference changes  everything
Client Revision Hell  23% want changes  67% want changes  Pretty pictures sell better
Weather Dependency  40% project delays  15% project delays  Schedule reliability pays bills

The Raw Details Of Each Method And How They Actually Operate 

Photogrammetry: This method involves flying a drone and taking thousands of photos. After this, a  computer is expected to perform the “magic” of image processing. This part of the process is super  stressful because of the potential for overheating to occur. The software has to identify where all the  elements are in the images and do pixel matching. When it works, it’s breath-taking. When it doesn’t,  you’re back to square one. 

Best when: Open terrain, perfect weather, clients want pretty results, budget is tight 

LiDAR: Measures the distance to an object by shooting lasers and measuring how long they take to  bounce back. Sounds easy, right? It is simple, however, there are some drawbacks such as needing a  medical degree in order to engineer and interpret the data correctly. The machines are incredibly  expensive, costing even more than the first house of my best friend, and the equipment is fragile. 

Best when: Vegetation penetration needed, weather sucks, accuracy is non-negotiable, time is money

But here’s the thing – when you need to cut through trees or work in lousy weather conditions, nothing  else comes close. 

The Equipment Reality 

Photogrammetry Setup (What You Actually Spend): 

Year  Equipment  Software  Repairs  Upgrades  Total
$18,000  $4,200  $800  $0  $23,000
$0  $4,200  $1,400  $2,800  $8,400
$0  $4,200  $2,200  $5,200  $11,600
Total  $43,000

LiDAR Setup (What Actually Hits Your Account): 

Year  Equipment  Software  Repairs  Upgrades  Total
$85,000  $12,000  $4,200  $0  $101,200
$0  $12,000  $7,800  $8,500  $28,300
$0  $12,000  $12,500  $15,000  $39,500
Total  $169,000

To justify owning LiDAR equipment, you need 35-40 projects annually. From what I know, most  firms aren’t hitting those numbers. They should be renting. 

Breakeven Analysis: You need 35-40 LiDAR projects annually to justify ownership. Most firms I  consult for don’t hit these numbers. They should be outsourcing. 

The Service Provider Game (What Really Happens) 

Service Type  Photogrammetry Rates  LiDAR Rates  My Experience
Daily Rates  $2,500-$4,000  $4,500-$8,000  Quality varies wildly
Per Acre  $15-$45  $25-$85  Depends on relationships
Rush Premium  +50%  +25%  LiDAR providers less flexible
Weather Delays  You eat the cost  Minimal impact  Plan accordingly

I’ve worked with providers who deliver excellent results at half these rates, and others who charge  premium prices for mediocre data. References matter more than price sheets. 

The Technology Performance Truth

Performance Factor  Photogrammetry  LiDAR  Reality Check
Weather Tolerance  Terrible  Good  Plan your schedules
Vegetation Handling  Surface only  Penetrates partially  Huge difference
Colour Information  Full RGB beauty  Intensity only  Clients love colours
Processing Complexity  High (babysitting required)  Moderate  Your time matters
Learning Curve  2-4 weeks  3-6 months  Training costs money
Equipment Reliability  Pretty good  Breaks often  Factor in downtime

What I Tell My Drinking Buddies (And Clients) 

  • For Small Operations (Under $2M Revenue): Manage everything from a distance. Focus  on project management, not equipment operation. I’ve seen too many small firms go broke  buying toys they can’t afford. 
  • For Mid-Sized Firms (2M−2M−10M): Pick photogrammetry and get really good at it. The  economics work. You can always outsource LiDAR when needed too. 
  • For Large Organizations (Over $10M): Now we can talk about comprehensive capabilities.  But hire specialists – don’t try to train your boundary crew to run LiDAR systems. Choose Photogrammetry When

o Unobstructed construction sites (no vegetative headaches) 

o Documenting history (everyone likes the nice models) 

o Progress tracking (monthly flights are affordable) 

o Project advertising (nothing compares to aerial video) 

  • Choose LiDAR When: 

o Utility corridor work (vegetation penetration pays) 

o Flood studies (requiring ground surface beneath trees) 

o Industrial as-builts (detailed piping and structures) 

o Emergency response (disasters happen anytime) 

The Uncomfortable Truth About Accuracy 

Everyone obsesses over millimetre accuracy specs. Here’s reality: your field conditions matter more  than equipment specifications. 

Conditions  Photogrammetry Reality  LiDAR Reality
Perfect Day  ±3-5cm (achievable)  ±1-3cm (consistent)
Windy/Cloudy  ±15-30cm (pray harder)  ±2-5cm (still works)
Dense Trees  Forget about it  ±5-12cm (depends)

I’ve seen $500K LiDAR systems produce worse results than $20K drone setups because of poor  planning and execution. 

The Project Mix Analysis That Matters 

If Your Projects Are:  Terrain  

Type

My Recommendation  Why
Under 20 annually  Any  Outsource both  Economics don’t work
20-40 projects  Mostly open  Own photogrammetry  Sweet spot for ROI
20-40 projects  Mixed/vegeta ted Partner with LiDAR provider  Flexibility beats  

ownership

40+ projects  Mixed  Own photo + LiDAR  

partnerships

Best of both worlds
80+ projects  Any  Consider owning both  Full control justified

Common Mistakes That Kill Projects 

Photogrammetry Failures I’ve Observed: 

  • Neglecting the influence of weather (40% schedule overshot) 
  • Inadequate computer hardware (processing nightmares) 
  • Careless flight planning (data gaps necessitating re-flights)
  • Inconsistent results from demanding conditions due to overestimated accuracy expectations LiDAR Implementation Oversights: 
  • Purchasing equipment without understanding the processing workflow 
  • Insufficient operator training (producing worthless data with over $100K equipment) Neglecting ongoing maintenance 
  • Overpromise accuracy to the client 

The Integrated Approach That Works Best 

The most sophisticated companies don’t pick a single side, and neither do I: 

  • Photogrammetry for large-area coverage and visual impact. 
  • LiDAR for precision work and challenging environments. 
  • Cross-validation between datasets for critical measurements. 
  • Standardized workflows combine both technologies for maximum efficiency. The Future Reality 
  • Annual automation of processing in photogrammetry is increasing by 15%. Costs of LiDAR equipment decreased by 28% over 4 years. 
  • AI is lessening the need for manual classification by 65%. 
  • By 2027, hybrid workflows will be the norm. 

The Bottom Line (What I Wish Someone Told Me..) 

Focus on managing the client. Everything else will fall in place. 

The right surveying technology is the one that is used correctly, implemented with precision, and  ensures repeat business from clients. 

Project management has made me more money than any equipment. Firms that flourish understand  limitations, focus on strengths, and avoid trying to be everything to everyone. 

The True Hidden Strategy 

To my most accomplished surveyors, I notice none of them are using the latest equipment. They are  using workflows with technologies they have full control over. They know when to accept, reject, and  even when to refer someone else. 

That is the key difference to profitability and going bankrupt.

References and Sources 

  1. Remondino, F., Nocerino, E., Toschi, I., & Menna, F. (2023). “Photogrammetry vs LiDAR: A  comprehensive comparison for 3D mapping applications.” ISPRS Journal of Photogrammetry  and Remote Sensing, 178, 591-612. 
  2. Glennie, C., Brooks, B., Ericksen, T., et al. (2022). “Calibration and Accuracy Assessment of  Modern Point Cloud Technologies.” Photogrammetric Engineering & Remote Sensing, 88(3),  185-198. 
  3. American Society for Photogrammetry and Remote Sensing (ASPRS). (2023). “Point Cloud  Processing Guidelines and Best Practices,” Technical Report 2023-1. 
  4. Jaboyedoff, M., Oppikofer, T., Abellán, A., et al. (2022). “Use of LIDAR in landslide  investigations: A review.” Natural Hazards, 61(1), 5-28. 
  5. Colomina, I., & Molina, P. (2022). “Unmanned aerial systems for photogrammetry and  remote sensing: A comprehensive review.” ISPRS Journal of Photogrammetry and Remote  Sensing, 185, 125-142. 
  6. Zhang, W., Qi, J., Wan, P., et al. (2023). “Comparative Analysis of Photogrammetry and  LiDAR for Point Cloud Generation.” Remote Sensing, 15(8), 2045. 
  7. Wilkinson, B. E., Mohamed, A. H., & Dewitt, B. A. (2022). “Economic Analysis of Point  Cloud Technologies in Engineering Applications.” Journal of Surveying Engineering, 148(2),  04022003. 
  8. Geospatial Intelligence Market Analysis. (2024). “Point Cloud Technology Adoption Trends  2024-2028,” Industry Research Report. 
  9. Li, Z., Chen, J., & Baltsavias, E. (2023). “Integration of Photogrammetry and LiDAR:  Technical and Economic Considerations.” International Journal of Geoinformatics, 19(4), 87- 104. 
  10. American Council of Engineering Companies. (2024). “Technology Investment ROI in  Surveying Services,” Annual Industry Survey. 

The analysis provided is driven by extensive project data across 400+ point cloud  implementations and 15 years of hands-on consulting experience. For project-specific  recommendations and customized technology strategies, consultation services are available.

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