Newton Roofing Company
Roofing estimate workspace
Drone capability guide
Use this as a practical starting point for roofing estimates. Better drones raise the ceiling, but overlap, sharp imagery, and complete roof coverage decide the final confidence.
Check marks show hardware or capture features that help Left Horizon turn drone imagery into measured roof estimates.
DJI Mini 3
Entry
DJI Mini 3 Pro
Compact
DJI Mini 4 Pro
Compact
DJI Mini 5 Pro
Compact+
DJI Air 3
Air
DJI Air 3S
Air+
DJI Mavic 3 Pro
Prosumer
RAW/DNG stills
Better source files for reconstruction, review, and downstream measurement QA.
48MP+ still capture
More pixels for edge detection, roof details, and visual review.
1-inch or 4/3 main sensor
A larger imaging sensor helps with detail, exposure latitude, and low-light roof captures.
3-axis mechanical gimbal
Stable nadir imagery is easier to stitch and measure consistently.
Omnidirectional sensing
Helps pilots fly repeatable roof passes around obstructions.
Night/LiDAR-assisted sensing
Useful safety signal for twilight inspection work; still not a replacement for daylight mapping.
40+ min max flight time
More time per battery for full overlap passes on larger properties.
Good fit for roof estimate capture
Recommended for repeatable Left Horizon drone-to-estimate jobs.
Accuracy potential
Relative product fit for roof-estimate capture.
Usable with disciplined capture
Good small-site starter
Strong residential option
Best sub-249g-style fit
Longer site coverage
Best consumer roof capture fit
Highest image-quality ceiling here
How to use the grid and run a capture through Left Horizon.
Use a repeatable capture flow so the estimate has enough imagery to reconstruct the roof and explain the measurements.
- 1 Go out to the site and confirm property access, roof visibility, battery plan, weather, and safe takeoff/landing space.
- 2 Generate a drone map route using a planning tool such as WaypointMap, or build a manual route with consistent altitude and overlap.
- 3 Fly the route and take aerial photos of the full location, including every roof plane, ridge, valley, eave, obstruction, and access point.
- 4 Open Left Horizon and choose Start new job.
- 5 Add the roof type, address, customer details, and upload the drone photos.
- 6 Submit the job, then review the returned 2D plan, detected items, estimate, and ortho.
The grid is a product-fit guide for roofing estimates, not a survey certification. Better camera hardware, stabilization, sensing, and flight endurance raise the ceiling, but the submitted imagery still decides the final confidence.
A higher drone score means the aircraft has more traits that make reliable roof capture easier.
The final estimate confidence still depends on overlap, blur, exposure, roof coverage, and measurement review evidence.
Clean, complete imagery gives the processor and reviewer more evidence to trust the roof geometry and estimate quantities.
RAW/DNG or high-quality stills with low blur and clean exposure.
Consistent altitude, overlap, and gimbal angle across the full property.
Ground reference dimensions or reviewed measurements when the quote is high stakes.
Anything that hides roof geometry, breaks reconstruction, or removes review evidence should lower confidence.
Single images, mixed heights, missing roof faces, or heavy motion blur.
Tree cover, reflective roofs, shadows, and tight obstructions around eaves.
Treating consumer GNSS metadata as survey-grade evidence.
Consumer drones can produce useful roofing estimates, but they are not automatically survey workflows.
Survey-grade claims require RTK/GCP/checkpoint evidence and review.
Left Horizon should label the result as quote-ready or survey-supported, never blur the two.
Use plain product language that matches the evidence in the capture set.
Use draft estimate when imagery is incomplete, single-angle, blurry, or blocked by trees and shadows.
Use quote-ready estimate when the capture set is complete enough to review roof geometry, detected items, and estimate quantities.
Reserve survey-supported for workflows that include RTK/GCP/checkpoint evidence and a review path built for that claim.