The release of the Matrice 4E sparked a lot of discussion among mapping professionals. On paper, the platform promises faster coverage, newer hardware, and improved enterprise features. But when compared to the proven Mavic 3E, the real question is simple: does the upgrade actually improve mapping performance?

To answer this, we analyzed real-world testing, including side-by-side flights on few mapping projects, as well as internal field experience from pilots working at Inflights. The results highlight important differences that don’t always appear in specification sheets.

At Inflights, the DJI Mavic 3E has been used on hundreds of projects. It has proven to be one of the most reliable RTK mapping drones available.

In real-world operations, reliability matters more than raw specifications. The M3E consistently delivers datasets that process cleanly without requiring complex fixes.

Simply put: the Mavic 3E is a dependable mapping drone.

We also tested coverage from maximum legal altitude in the EU - 120 m AGL and compared the Mavic 3E against Wingtra. The results were surprising.

Wingtra produced better GSD thanks to its larger mapping camera. However, in this particular scenario the goal was to map large areas from the maximum legal flight height, not to optimize for the smallest possible GSD.

Despite being a fixed-wing platform, Wingtra covered nearly the same area in a similar time as the Mavic 3E. This shows that in many real-world scenarios, multirotor mapping with M3E is already highly efficient, reducing the need for faster mapping platforms.

This also reduces the practical advantage of faster drones like the Matrice 4E for typical survey projects.

The Matrice 4E introduces improvements such as higher flight speed, newer controller ecosystem, expanded enterprise capabilities, and a brighter controller screen, which is noticeably easier to use in sunny conditions.

The platform is also better suited for automated building and 3D model mapping missions, where advanced automated flight options provide smoother capture workflows.

However, during side-by-side testing (M3E and M4E flown at the same time), several issues were observed.

In some cases, the Matrice 4E took noticeably longer to obtain an RTK fix compared to the Mavic 3E. This is particularly important for teams that rely on quick deployment in the field, especially on large jobs when time was crucial.

The Mavic 3E typically locks RTK quickly and consistently, while the M4E sometimes required additional waiting time before starting missions.

This may be addressed in future firmware updates, but it is something we observed during real-world testing.

This is something not widely discussed, but observed during testing. We noticed that M4E geotags showed incorrect decimal precision and reported unrealistically high accuracy values in millimeters instead of centimeters. The metadata formatting differed from M3E, and the reported precision did not match real-world positional reliability.

This appears to be something that should be easily fixable via firmware updates, however despite the drone being on the market for over 1.5 years, the issue still persists. As a workaround, we currently manually adjust the decimal point in the estimated geotag accuracy before processing datasets.

In some datasets, the Matrice 4E reported millimeter-level accuracy, while actual results behaved more like centimeter-level or worse. This inconsistency can affect photogrammetry workflows and confidence in RTK-only processing.

The Matrice 4E is capable of faster mapping missions. However, based on testing at Inflights, flying faster does not always mean better results.

Even though the M4E supports higher mapping speeds, we still recommend flying at 8 m/s for best geotag accuracy - for any RTK drone.

During tests at 15 m/s, some geotags were several seconds old, which degraded dataset alignment, introduced accuracy inconsistencies, and caused PPK correction to struggle to compensate for the timing offsets. This behavior affects all RTK drones but becomes more visible at higher speeds.

We attempted to fix high-speed datasets using a PPK workflow using Recatch RedToolbox. However, due to 15 m/s flight speed, geotag timing errors limited improvement. Even after correction, dataset accuracy did not match slower-flight missions.

Software developers also confirmed that 15 m/s is too fast for reliable geotagging in most scenarios because camera timing and GNSS latency become limiting factors, and RTK alone cannot compensate for speed-related delays.

This reinforces a key takeaway: speed increases productivity, but reduces positional reliability.

Regardless of drone platform, RTK performance depends heavily on correction source quality.

We strongly recommend using survey-grade NTRIP services for any RTK drone.

In the past, we experienced issues using affordable NTRIP correction services like RTK2go, Premium Positioning and RTKFix.

These services worked in some cases but produced inconsistent geotag quality on several projects.

We prefer professional networks such as:

These provide more stable corrections and more reliable geotagging.

It is also critical to check distance to the nearest base station.
Base stations located over 50 km from the project area can significantly reduce RTK accuracy and lead to low-quality geotags.

This applies equally to any RTK-enabled drone.

For most mapping and surveying workflows, the upgrade from Mavic 3E to Matrice 4E is not essential.

If you already own the Mavic 3E:

The Matrice 4E is best suited for:

But for pure mapping and survey accuracy, the Mavic 3E remains extremely competitive.

The Matrice 4E is a capable new platform, but the Mavic 3E continues to stand out as a reliable, proven mapping drone. Inflights testing across hundreds of projects confirms that the M3E delivers consistent performance with dependable geotag accuracy.

While the Matrice 4E can fly faster and cover more ground, RTK behavior, geotag inconsistencies, and high-speed limitations reduce the practical advantage.

For most professional mapping teams, the Mavic 3E remains the safer and more predictable choice.

If accuracy and reliability matter more than speed - the upgrade is not necessary.