Matrice 4E
About
About Matrice 4E
Matrice 4E centres its mapping workflow on a 20-megapixel Four Thirds camera with a mechanical shutter and image capture intervals down to 0.5 seconds. Medium-telephoto and telephoto cameras supplement the mapping sensor for detailed inspection and site reconnaissance without requiring a second aircraft.
RTK positioning, terrain-following functions and planned flight paths support orthophotos, three-dimensional reconstruction and linear infrastructure surveys. The aircraft has a maximum stated flight time of 49 minutes and connects to DJI Pilot 2, Terra and fleet-management tools for planning, processing and operational records. It targets survey, construction, mining and utility teams.
Capabilities
Source-backed capabilities
- Target markets: Enterprise, Infrastructure, Government
- Deployment model: Field Deployed
- Aerial stockpile surveying
Research demonstration - 2026-05-01 - The field study compares coal-stock volume measurements captured with a DJI Matrice 4E against a Leica MS60 laser scanner.
Source - Mapping and photogrammetry
Research demonstration - 2026-05-01 - The field study compares coal-stock volume measurements captured with a DJI Matrice 4E against a Leica MS60 laser scanner.
Source
Research
- Perbandingan Volume Stock Batubara dengan Metode Pengukuran Menggunakan Laser Scanner Leica Ms60 dan Drone Dji Matrice 4e Studi Kasus di PT. XYZ
2026-05-01 - Research Publication - The paper compares coal-stock volume measurement using a Leica MS60 laser scanner and a DJI Matrice 4E drone.
Source - MyUAV-UTHMPGR01
2026-04-30 - Research Publication - Consists of DJI Matrice 4E-sourced pothole image datasets.
Source - Assessment of UAV image quality in terms of optical resolution
2025-06-16 - Research Publication - Abstract. The aim of this study was to assess the quality of images from different UAV sensors in terms of their optical resolution, expressed by the MTF10 parameter. The study was conducted for four cameras: Mavic 3E, Matrice 4E, Phantom 4 RTK and Zenmuse P1, under different weather and lighting conditions, with varying flight altitudes and ISO settings. The Siemens Star pattern and ResolvingPower software provided by The German Aerospace Center (DLR) were used in the analysis. The results showed a significant effect of flight altitude, time of day and ISO sensitivity on image quality. A decrease in sharpness (MTF10) was observed with increasing distance from the image centre and at higher ISO values. The conclusions of the study may be helpful in planning photogrammetric missions using UAVs, enabling better-quality image data.
Source