Drone ROI for Landfills: Survey Hours and Payback

What does drone ROI for landfills look like in practice?

The count of landfills is falling, and the EPA does not keep a complete list. Statistics compiled from EPA data show 1,269 municipal solid waste landfills in 2018, down from 1,738 in 2015. Each site still operating has its own airspace and slope survey schedule, so the return is measured site by site, not from a national count.

The sites most likely to see a return are the ones that already pay for aerial surveys or walk steep faces by hand. A site that flies once or twice a year gets a few snapshots of its airspace. A drone lets staff take many more on a schedule they set, using the same control points each time, which is what makes the comparison between surveys trustworthy.

Where does the savings come from?

Three work streams carry most of the offset: aerial survey flights, slope checks on steep faces, and the calculations that follow each survey. A Central Coast city in California, described in a waste trade magazine article, flew aerial surveys through a third party once or twice a year. Staff now compare two design surfaces to get remaining airspace and volume consumed, so the calculation does not wait on the next outside flight.

The same topographic data can feed a second calculation. Baltimore uses drone topography to calculate compaction density, which tells an operator how densely the waste is packed. One flight can therefore support both the airspace number and the compaction number.

The second stream is slope work. Steep faces and benches are where a crew is most exposed and where the most walking takes place. A drone covers that ground from above, so the return here is partly hours and partly how often the faces get checked at all.

How often should a landfill survey, and does frequency change the number?

Frequency is the input most sites underestimate. A 2025 association webinar included a cost case study of three 350-acre landfills surveyed quarterly. The cost totals were not in the public summary, but the schedule shows what a quarterly program looks like in practice.

Moving from one flight a year to one a quarter does more than multiply the data. Each flight can be compared with the last, so change between surveys becomes visible, and a settling area or an overfilled cell can show up while it can still be corrected. The offset grows with that repeat value, not only with the hours removed.

Frequency has a cost side too. More flights mean more data to process and review, and the time spent on that review is a labor cost the offset has to include. A plan that flies often but reviews nothing returns little.

How accurate are drone surveys for airspace and volume calculations?

A state regulator's presentation on drone surveying gives an expected accuracy of plus or minus 2.5 ft for a topographic map with 5 ft contours. That tolerance is workable for tracking airspace and volume, where the usual question is how much a surface has moved over a season.

A University of Miskolc paper on periodic drone surveys of a landfill in a city of about 40,000 people reported total horizontal and vertical error of about 0.5 meters across control points. The two figures come from different sites, methods and error definitions, so they should not be compared as if they measure the same thing.

Accuracy is set by the setup as much as the aircraft. Ground control points, flight altitude and contour spacing decide what the output can support, so the survey plan should state them before the first flight, and the engineer should accept them in writing.

How does the ROI math work, step by step?

The calculation has three inputs. The first is the hours your crews spend on survey and slope work each year, including travel and the time to process results. The second is the share of those hours a drone realistically takes over, which is less than the whole because some work still needs a person at the face. The third is the lease cost, which is quoted after assessment.

The labor side is priced on the wage for security guards in the government wage data on this page, so the hours counted are hours of guard-type site checking and perimeter watch. That is the closest match to a slope or site check round. Survey and engineering time is not priced at a surveyor rate here, so the calculator does not put a higher value on that work than the data supports.

The rough offset is the hours moved, multiplied by the share taken, priced at that wage, and compared with the annual lease cost. Payback is the lease cost divided by the annual offset, read as a range across the low and high share. Use a range because both the share and the hours stay estimates until site records confirm them.

What do the safety and staffing numbers say?

Government injury data for the waste sector shows the work is hazardous. According to federal injury data reported in trade press, the landfill injury rate was 2.8 cases per 100 full-time equivalent workers in 2024, down from 3.1 in 2023. The landfill illness rate rose to 9.1 from 4.9 in the same data, so the picture is not simply improving.

For the collection side, the fatality rate for refuse and recyclable material collectors was 37.4 per 100,000 full-time equivalent workers in 2024, down from 41.4, with 36 fatalities against 41 the year before. Solid waste collection overall reported 5.0 total cases per 100 full-time equivalent workers in 2024, up from 4.3. Trade press citing federal data puts the collection fatality rate at about 12 times the overall US workplace rate. Reports differ on some landfill figures, so check the federal table before quoting one.

Staffing is the second pressure. The chief executive of one of the largest US waste haulers, quoted in a government technology news site, said the average heavy equipment operator is approaching 53 years old, and turnover for back-of-truck workers was estimated as high as 50%. Local records show the same strain, with a 2022 county advisory group listing three scale operator, two heavy equipment operator and two truck driver vacancies at the landfill. An aging operator base and high turnover make a survey or slope routine harder to hold on schedule, which adds to the case for repeatable drone flights.

What changes the number up or down?

The biggest upward driver is how many surveys and slope checks the site runs in a year. A site that flies once a year is a separate case from one that flies quarterly, and the number moves with that count. Sites with many active cells and steep faces carry more slope work for each flight to cover.

The biggest downward driver is the share a drone realistically takes. Where engineers or regulators still require a person on the face at every check, the offset shrinks. The checklist below lists the inputs the site assessment confirms before any number is set.

Weather and airspace approval also move the number. Flights stop in high wind and rain, and approvals take time. Ada County, Idaho pursued FAA approval so it could survey on a more consistent basis, which shows authorization belongs in the timeline from the start.

What are the risks to the return, and how do you avoid them?

The main risk is double counting. If a survey contract still runs alongside the drone, the offset looks larger than the saving that actually happens. List every survey and slope check now paid for, and decide which ones the drone replaces before the assessment.

The second risk is a survey that is not repeated. A single flight gives a snapshot, and the return comes from repeat flights against the same control points. Put the schedule in the plan and name the person who reviews each dataset, so the output is used rather than filed.

The third risk is data the engineer does not accept. If the control points or the error statement fall short of what the engineer needs, the drone output does not reduce the manned work. Agree the accuracy standard and the report format before the first flight, and check the first two datasets against ground measurements.

Staff turnover is the fourth risk. A program run by one trained person with no backup stops when that person leaves. The training plan should name a second pilot and a second reviewer from the start.

What is a realistic timeline from assessment to payback?

Assessment comes first. The site walk, record review and flight plan define the baseline, and the lease quote is set from that work. Nothing is leased until the inputs are agreed in writing.

Deployment follows: approvals, control point setup, a baseline survey of the present surfaces and the first comparison against the design surface. The first cycle tests whether the plan works, and the second cycle tests whether the saving repeats.

Payback comes only after enough cycles to show the offset is real. A site that flies quarterly builds that evidence sooner than one that flies twice a year, so the timeline depends on the schedule agreed at assessment. Ask for the timeline as a sequence of cycles and milestones, not as a single payback date.

How do I get a precise figure from a free site assessment?

We run a free site assessment for landfill operators. Our integrators pick the drone that fits the site, lease it through financing, deploy and integrate it, train staff and service it nationwide. The assessment produces the inputs the math needs, and the lease quote follows from them.

Bring the records that make the numbers exact: survey contracts and flight invoices for the past two years, the list of active cells and steep faces, the design surfaces in use, and crew hours on slope checks. If hours are not logged, the assessment can estimate them from work orders and confirm the estimate on site.

Ask for three things back: the hours the drone takes over each year, the savings range at a low and a high share, and the lease quote with its service terms. A range that still holds at the low share is more useful for a decision than any single number.