TL;DR: Aerial takeoff tools measure areas, lengths and counts from above, so estimators can quote or bill without walking every site. They split into two kinds: tools that measure on bought imagery, fast for quoting new sites, and tools that measure on drone maps you capture, current for work in progress. Many paving and civil contractors need both.
Key takeaways
- Estimating time is expensive. According to the US Bureau of Labor Statistics, cost estimators in heavy and civil engineering construction earned a median $99,910 a year in May 2025.
- Bought imagery has a refresh cycle. According to Nearmap, its aerial imagery is refreshed up to six times a year, at 4.4 to 7.5 cm per pixel or better.
- A familiar free tool is going away. According to Google, Google Earth Pro on desktop will no longer be available for download from June 25, 2027.
- Vendors claim high takeoff accuracy. According to Beam AI, its takeoffs are 99% or more accurate and QA-checked, a vendor figure rather than an independent one.
- Your own capture is current by definition. A drone map from this week shows this week's site, which matters for billing work in progress.
What is aerial takeoff, and when does it beat a site visit?
Aerial takeoff means measuring areas, lengths and counts from overhead imagery to build a quote, an estimate or a bill. It beats a site visit when sites are many, large or far away, or when the estimator needs to quote quickly. It does not replace a visit where conditions, access or underground work matter.
For paving, the measurements are familiar: asphalt and concrete areas, curb and edge lengths, striping and marking counts, and patch areas for repairs. For civil work, they extend to pad areas, road lengths and disturbed areas. All of these can be measured from good imagery, as long as it is current and accurate enough.
Why the imagery source matters
Bought imagery shows the site as it was when the aircraft or satellite last passed. A drone map shows it as it was when you flew. For quoting a site you have never visited, bought imagery is usually enough. For measuring work you have done, to bill it, current imagery you captured is the record.
How did we choose and compare the tools?
We chose tools that paving, civil and site contractors use to measure from above, and compared them on the imagery source, how current it is, the measurements they take, AI detection, export to estimates, access for people outside the paid team, and pricing. Birdi (birdi.io) is listed first, and the order is not a ranking.
Every fact was checked on the vendor's own website or help center on October 7, 2026. Accuracy claims are each vendor's own and are labeled that way. Several tools here are built mainly for landscaping and grounds maintenance; we say so where it applies.
The best aerial takeoff software for paving and civil in 2026
The aerial takeoff tools compared here are Birdi, Beam AI, SiteRecon, Go iLawn (PropertyIntel), Nearmap, DroneDeploy and Google Earth Pro. Three measure on drone maps or your own data, three work on bought imagery, and one is a free desktop tool. Each entry carries the same fields, checked on October 7, 2026.
1. Birdi
Best for: Paving and civil contractors who capture their own drone maps and want to measure current work, share it with the client and keep the dated record.
Typical customer size / segment: Mid-sized construction and civil teams of roughly 30 to 500 staff.
Key strengths:
- Line, polygon and marker tools measure distance and area on the map, in your choice of measurement units.
- AI Detect can find asphalt patches on a map for a person to check and report on.
- Table view exports measurements to CSV, and annotation reports export as PDF.
Imagery source: Drone maps you capture or bring in, plus Nearmap outputs you already hold.
Access for people outside the paid team: Guests view and download without using a paid seat.
Data types in one view: Orthomosaics, elevation models, point clouds, 360 photos, PDFs and DXF overlays.
Watch-outs: Not for anyone who wants existing aerial imagery of a site supplied. It also does not suit a sole operator shopping on price alone.
Pricing: Growth is $287 USD a month, billed annually. Ultimate is priced by quote (checked October 7, 2026).
Birdi's annotation accuracy depends on the map underneath. Its help center puts measurements at about ±40 mm with RTK and ground control, and meter-level with GPS-only imagery. So for billing, fly with ground control. For more on that, see our guide to how accurate drone data is.
2. Beam AI
Best for: Paving and site contractors who want takeoffs done for them, from plans or from aerial imagery.
Typical customer size / segment: Construction and field service businesses in the US and Canada; it cites more than 1,200 customers.
Key strengths:
- Paving takeoffs for asphalt, concrete, curbs, striping and site markings.
- Aerial takeoffs for pavements, sidewalks and parking lots on maintenance jobs.
- Takeoffs returned in 24 to 72 hours, QA-checked by Beam AI.
Imagery source: Bought aerial imagery, or your uploaded plans.
Access for people outside the paid team: Not published.
Data types in one view: Takeoffs and estimates.
Watch-outs: The 99% accuracy figure is its own. Turnaround is hours to days, not instant.
Pricing: Contact for pricing.
3. SiteRecon
Best for: Landscaping and grounds maintenance firms that want AI property measurements and done-for-you estimates.
Typical customer size / segment: Landscaping companies, according to its own customers.
Key strengths:
- AI measurements of properties in minutes.
- Bulk property measurements for portfolios.
- Automated takeoffs to bid faster.
Imagery source: Bought aerial imagery.
Access for people outside the paid team: Not published.
Data types in one view: Property maps and measurements.
Watch-outs: It is built for landscaping, so paving-specific items may need checking.
Pricing: Contact for pricing.
4. Go iLawn (PropertyIntel)
Best for: Enterprise landscaping and maintenance firms measuring many properties from aerial imagery.
Typical customer size / segment: Landscaping and property maintenance businesses.
Key strengths:
- AI measurements and automated time and cost estimates.
- Aerial imagery on demand, using search credits.
- Proposals that show clients what is being done and where.
Imagery source: Bought aerial imagery, charged by search credit.
Access for people outside the paid team: Proposals shared with clients.
Data types in one view: Aerial imagery, measurements and estimates.
Watch-outs: Each new aerial image uses a search credit, so costs rise with the number of properties.
Pricing: Plans and credits from its pricing page.
5. Nearmap
Best for: Contractors who need frequent, high-resolution bought imagery of many sites, with measurement tools and history.
Typical customer size / segment: Property, insurance and construction businesses in the regions it covers, according to Nearmap.
Key strengths:
- Imagery at 4.4 to 7.5 cm per pixel or better, refreshed up to six times a year.
- Measurement tools on its imagery.
- Historic imagery for before-and-after checks.
Imagery source: Its own aerial capture program.
Access for people outside the paid team: Through Nearmap's applications; terms by subscription.
Data types in one view: Aerial imagery, 3D and AI property layers.
Watch-outs: Imagery is only as current as the last capture over your site, and coverage is by region.
Pricing: Contact for pricing.
6. DroneDeploy
Best for: Contractors who fly their own drones and want measurement inside a wider drone platform.
Typical customer size / segment: Individual pilots through to large contractors.
Key strengths:
- Area, distance and volume measurement on drone maps.
- Map comparison by date.
- Integrations with Esri, Autodesk and Procore.
Imagery source: Drone maps you capture.
Access for people outside the paid team: View-only links; tools need a paid account.
Data types in one view: Orthomosaics, 3D models, panoramas and video.
Watch-outs: Team plans are by quote, and viewers pay to use measuring tools.
Pricing: Flight & Analysis is $4,188 USD billed annually for one pilot (checked October 7, 2026).
7. Google Earth Pro
Best for: Quick, free measurements on public imagery for rough quotes.
Typical customer size / segment: Any contractor; many estimators already use it.
Key strengths:
- Free, with measuring tools and historical imagery.
- Imports and exports GIS data.
- Familiar to most estimators.
Imagery source: Public imagery of varying date and resolution.
Access for people outside the paid team: Files shared by export.
Data types in one view: Imagery and simple vector data.
Watch-outs: Google says the desktop version will no longer be available for download from June 25, 2027. Imagery dates vary and may be years old.
Pricing: Free.
Bought imagery or your own capture: which do you need?
You need bought imagery to quote sites you have not visited, quickly and at scale. You need your own drone capture to measure work in progress and completed work for billing, because it is current and as accurate as your ground control. Many contractors use bought imagery to win work and drone maps to bill it.
The differences that matter
| Bought imagery | Your own drone capture | |
|---|---|---|
| How current | As of the provider's last capture | As of your flight |
| Resolution | Set by the provider | Set by your flight height |
| Accuracy | Provider's stated accuracy | Depends on your ground control |
| Best for | Quoting new sites | Measuring and billing work done |
For keeping drone measurements consistent, see our guide to ground control in drone mapping.
Frequently asked questions
How do you measure a parking lot from aerial imagery?
Open current imagery of the lot in a measuring tool, draw polygons around paved areas, lines along curbs and edges, and count stalls and markings. Check the imagery date first, and use drone capture with ground control where the measurement feeds a bill. Some tools detect pavement or patches with AI for a person to check.
Is aerial takeoff accurate enough to quote?
Usually, for quoting, if the imagery is recent and of good resolution. Vendors publish their own accuracy figures, which are not independent. For billing work done, use current imagery, ideally your own drone map with ground control, so the measurement reflects what was actually built.
Can AI measure asphalt from imagery?
Yes, several tools use AI to detect pavement, patches and markings, and to produce takeoffs. The results still need a person to check them. Birdi's own documentation, for example, says AI detections are built to support expert review rather than replace it.
How current is satellite and aerial imagery?
It varies by provider and location. Nearmap says it refreshes imagery up to six times a year in covered areas. Free public imagery can be months or years old. Always check the capture date before measuring, especially on active sites.
Do you need a drone for takeoffs?
Not for quoting new sites, where bought imagery is often enough. A drone helps when you need current imagery of work in progress, higher resolution than bought imagery offers, or a dated record for billing and disputes. Many contractors use both, at different stages.
About the author
This guide was written by the Birdi team. Birdi (birdi.io) is a geospatial AI workspace that construction, civil and mining teams use to share drone surveys, measurements and site data in one map. We checked every product fact against each vendor's own website or help center on October 7, 2026.
Related reading
- Drone, 360 and point clouds: platforms that show every data type in one place.
- Sharing drone maps: getting maps to the people who need them.
- Reducing survey costs: drone mapping on construction sites.
- Birdi for construction: how construction teams use one shared map.
Sources
Independent
- U.S. Bureau of Labor Statistics. "Cost Estimators." Occupational Outlook Handbook. https://www.bls.gov/ooh/business-and-financial/cost-estimators.htm
- Google. "Google Earth versions." https://www.google.com/earth/about/versions/
Vendor documentation (read October 7, 2026)
- Birdi Help Center. "How to use annotation tools on your 2D map" and "How to change the measurement system and units for your annotations." https://help.birdi.io/en/articles/10389705
- Birdi Help Center. "What level of accuracy are the annotation tools against the map model?" https://help.birdi.io/en/articles/9488667
- Birdi Help Center. "How to detect and report on asphalt patches with Birdi's AI model." https://help.birdi.io/en/articles/13910012
- Birdi. "Pricing" and homepage FAQ. https://www.birdi.io/pricing
- Beam AI. https://www.ibeam.ai/
- SiteRecon. https://www.siterecon.ai/
- Go iLawn (PropertyIntel). https://www.goilawn.com/
- Nearmap. https://www.nearmap.com/
- DroneDeploy. "Pricing." https://www.dronedeploy.com/pricing
