Classification of natural resources.
Unmanned machines can provide visible light or multispectral 
Business pain points
Advantages of unmanned aerial vehicles
The natural resource classification survey covers a wide area, with inconvenient transportation, high manual verification costs, difficulty in automated data classification, and a large workload for analysis;
Satellite imagery has low timeliness and resolution, making it difficult to ensure accurate classification.
Multi spectral cameras simultaneously capture visible light and multiple multispectral band data, with high classification accuracy;
Drones can quickly obtain regional orthophoto images with high timeliness, high resolution, and more complete information.
Solution
Full frame efficient surveying and mapping solution
The Matrice 350 RTK is equipped with the Zenith P1 full frame surveying camera, and only requires 4 sorties to complete 10 square kilometers of orthophoto data acquisition. Combined with DJI Smart Map and third-party classification software, natural resource classification work can be quickly completed.
Drones have omnidirectional obstacle avoidance capabilities, which are safe and reliable
Zenith P1 has a full frame sensor with 45 million pixels, which can efficiently complete data acquisition
High precision operation, image free control accuracy up to centimeter level
DJI Smart Map has simple data processing operations and extremely high efficiency
Drones
Matrice 4 Series
DJI FlyCart 30
DJI Fly Cart 30 is here to deliver the goods. A long-distance heavy lifter with powerful signal and intelligence, DJI FlyCart 30 supports Cargo mode and Winch mode and ascends beyond traditional logistical limits to deliver a safe, economical, and efficient air transport solution.
Matrice 30 Series
Payload
Zenmuse S1
Zenmuse V1
Zenmuse P1
workflow

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More application scenarios

Have the right to give evidence

Classification of natural resources.

Geological and mineral monitoring