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DJI Matrice 350 RTK

About

About DJI Matrice 350 RTK

Matrice 350 RTK is an IP55 enterprise multirotor with flight endurance reaching 55 minutes. Six-direction sensing, a low-light FPV camera and RTK positioning support inspection, mapping and public-safety missions across large or complex operating areas.

The dual-battery system supports hot swapping and is rated for up to 400 cycles. Single- and multi-gimbal configurations carry Zenmuse optical, thermal, lidar and mapping payloads. DJI RC Plus, O3 Enterprise transmission, FlightHub 2 and developer interfaces connect the aircraft with field and fleet workflows.

Capabilities

Source-backed capabilities

  • Target markets: Enterprise
  • Deployment model: Operator Flown Platform
  • Robotic inspection

    Claimed - DJI presents Matrice 350 RTK as an aerial platform for enterprise inspection operations.

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  • Public-safety response

    Claimed - DJI presents Matrice 350 RTK for public-safety and emergency-response operations.

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Research

  • UAV-derived BRDF datasets for the wheat and peach trees

    2025-11-13 - Research Publication - This dataset consists of multi-angle remote sensing data of wheat and peach trees collected in Pinggu District, Beijing, China, using a DJI Matrice 350 RTK UAV. The dataset spans key growth stages of the two crops, offering valuable insights into their canopy reflectance dynamics across different phenological periods and different remote sensing geometry. The dataset includes the following components: 1、Raw Data: Digital Number (DN) values directly exported from the onboard sensors of the UAV. These data were acquired at multiple sun-view geometry. 2、Processed Data: Multi-angle reflectance data derived through radiometric calibration of the raw DN values, along with associated geometric parameters such as view and solar angles. These processed data are suitable for further remote sensing analysis, including vegetation index computation and BRDF characterization.

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  • Use of Drone LIDAR Scanning for Volume Estimation of Stockpiles Accumulated in Post-Flotation Sedimentation Ponds – A Case Study of Bukowno (Southern Poland)

    2025-11-05 - Research Publication - This study evaluates the use of drone - mounted LiDAR scanning to estimate the volume of post - flotation tailings accumulated in sedimentation ponds located in Bukowno, southern Poland. The survey was conducted using a DJI Matrice 350 RTK UAV equipped with th e Zenmuse L2 LiDAR sensor, supported by high - accuracy GNSS measurements using the Topcon HiPer XR receiver. The main goal was to generate a high - resolution 3D model of the tailings storage area and assess the geometric accuracy of horizontal and vertical g eodetic coordinates using control points and statistical validation. Post - processing of LiDAR data was performed using DJI Terra, followed by spatial and statistical analyses in QGIS and RStudio. Statistical evaluation included descriptiv e statistics, Tuke y’s outlier detection, and the Shapiro – Wilk test to verify the normality of error distributions. The horizontal accu

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  • Pengenalan dan Pelatihan Pengambilan Foto Udara Menggunakan Drone DJI Matrice 350 RTK

    2025-03-13 - Research Publication - Drone merupakan instrumen penerbangan tanpa awak yang digunakan manusia untuk kegiatan survei lingkungan seperti pertanian, pesisir dan laut, dan mitigasi bencana. Salah satu jenis drone yang memiliki terobosan terbaru untuk survei lingkungan adalah drone DJI Matrice 350 RTK. Tujuan kegiatan pengabdian masyarakat ini adalah untuk memperkenalkan dan melatih pengambilan foto udara dengan menggunakan drone DJI M350 RTK. Kegiatan ini dilakukan di Integrated Laboratory (I-Lab) Universitas Mulawarman pada tanggal 22 Agustus 2024. Peserta kegiatan ini berasal dari latar belakang yang berbeda, seperti akademisi, mahasiswa dan masyarakat yang berprofesi sebagai wiraswasta. Kegiatan dilakukan dengan beberapa tahapan seperti pembukaan, presentasi, diskusi, praktek terbang, pengambilan foto udara, penggabungan gambar, dan evaluasi kegiatan. Tingkat keberhasilan kegiatan ini diukur dengan melakukan p

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  • Forest road design and calculation of biomass removal volume using Unmanned Aerial Vehicles (UAVs) combined with LiDAR sensors

    2025-01-01 - Research Publication - This study explores the application of Unmanned Aerial Vehicles (UAVs) equipped with LiDAR and photogrammetric sensors for designing a third-class forest road and estimating biomass removal volume in a protected mountainous region of Northern Greece. High-resolution orthophotos and a LiDAR-derived Digital Terrain Model (DTM) were generated from two UAV missions using the DJI Matrice 350 RTK and Zenmuse L2 sensor. The acquired spatial data were processed using DJI Terra and ArcGIS Pro, allowing the digital alignment of a 1.65 km road according to Greek engineering specifications. Using the “Dasiki Odos” software, cut and fill volumes were automatically calculated, and a raster analysis of DSM–DTM was performed to spatially identify biomass clearance zones. The DTM exhibited sub-decimeter vertical accuracy (maximum deviation ±6.2 cm), confirming the reliability of UAV–LiDAR integration in

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  • Accuracy Assessment of UAV LiDAR Compared to Traditional Total Station for Geospatial Data Collection in Land Surveying Contexts

    2024-06-11 - Research Publication - Abstract. Accurate surveying of vegetated areas presents significant challenges due to obstructions that obscure visibility and compromise the precision of measurements. This paper introduces a methodology employing the DJI Zenmuse L2 Light Detection and Ranging (LiDAR) sensor, which is mounted on a Matrice 350 RTK drone. The DJI Zenmuse L2 sensor excels at capturing detailed terrain data under heavy foliage, capable of collecting 1.2 million points per second and offering five returns, thus enhancing the sensor's ability to detect multiple surface responses from a single laser pulse. In a case study conducted near a creek heavily obscured by tree coverage, traditional aerial imaging techniques are found insufficient for capturing critical topographic features, such as the creek banks. Employing LiDAR, the study aims to map these obscured features effectively. The collected data is proce

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  • Lowering Barriers to Entry for Fully-Integrated Custom Payloads on a DJI Matrice

    2024-05-10 - Research Publication - Consumer-grade drones have become effective multimedia collection tools, spring-boarded by rapid development in embedded CPUs, GPUs, and cameras. They are best known for their ability to cheaply collect high-quality aerial video, 3D terrain scans, infrared imagery, etc.

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Resources

Media library

Official specifications, manuals, safety material, release notes, interface documentation and exact-product imagery for the DJI Matrice 350 RTK enterprise drone.