Matrice 4T
About
About Matrice 4T
Matrice 4T is the thermal and low-light member of DJI's two-model Matrice 4 enterprise family. Its imaging head combines three 48-megapixel visible cameras, an uncooled thermal sensor, near-infrared illumination and laser ranging to 1,800 metres. Operators can move from a wide incident view to telephoto identification, radiometric temperature measurement and 1,280-by-1,024 thermal super-resolution without changing payloads.
Omnidirectional binocular sensing and a downward three-dimensional infrared sensor support obstacle awareness, while RTK positioning provides repeatable location data. DJI pairs the aircraft with RC Plus 2, Pilot 2 and fleet services for power-line work, emergency response, forestry and public-safety missions. The airframe has no standard ingress-protection rating, so weather exposure remains an operating constraint.
Capabilities
Source-backed capabilities
- Target markets: Enterprise, Public Safety, Infrastructure
- Deployment model: Field Deployed
- Robotic inspection
Claimed - 2025-01-08 - DJI presents Matrice 4T for emergency response, public safety and energy inspection using thermal imaging, night capture and laser rangefinding.
Source - Search and rescue
Claimed - 2025-01-08 - DJI presents Matrice 4T for emergency response, public safety and energy inspection using thermal imaging, night capture and laser rangefinding.
Source
Research
- UAV thermal remote sensing for land surface temperature mapping in complex urban environments
2026-03-14 - Research Publication - Urban heat risk assessments increasingly require land surface temperature (LST) and near-surface air temperature at spatial scales that resolve microclimatic drivers such as material heterogeneity, shading, and complex terrain. While satellite thermal products and stationary air temperature observations provide essential regional and temporal context, their spatial resolution and coverage, as well as satellite revisit frequency, limit the quantification of surface thermal variability within urban blocks and campus-scale environments. Unmanned aerial vehicle (UAV) thermal imagery can bridge this scale gap, but quantitative LST retrieval remains sensitive to radiometric calibration, emissivity assumptions, local viewing geometry, geolocation accuracy, and acquisition-time atmospheric conditions.This contribution develops and demonstrates a reproducible UAV thermal remote sensing workflow t
Source - Comparative evaluation of unmanned aircraft for Spanish Army cavalry squadrons
2025-01-01 - Research Publication - A comparative military-operations study scores five named UAS platforms against endurance, sensing, deployment, command interoperability, environmental robustness and cost.
Source