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Shenzhen Pengjin Technology Co., Ltd

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    2850187695@qq.com

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    18320930029

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    602, 6th Floor, Building A, Oumi Building, No. 228 Jihua Road, Buji, Longgang District, Shenzhen

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MicaSense RedEdge-P Triple

NegotiableUpdate on 03/19
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Overview
MicaSense RedEdge-P Triple is an unmanned aerial vehicle (UAV) three camera multispectral system launched by MicaSense (now part of AgEagle). It is composed of three single cameras, RedEdge-P, RedEdge-P Blue, and RedEdge-P Green. The core is 15 multispectral bands+panchromatic sharpening. It focuses on high-precision vegetation monitoring and multispectral data fusion, suitable for DJI M300/M350 enterprise level UAVs, and is suitable for agricultural and forestry remote sensing, ecological investigation, precision agriculture and other scenarios.
Product Details

MicaSense RedEdge-P Triple

MicaSense RedEdge-P Triple

RedEdge-P Triple is an unmanned aerial vehicle (UAV) three camera multispectral system launched by MicaSense (now part of AgEagle). It is composed of three single cameras, RedEdge-P, RedEdge-P Blue, and RedEdge-P Green. The core is 15 multispectral bands+panchromatic sharpening, focusing on high-precision vegetation monitoring and multispectral data fusion. It is suitable for enterprise level UAVs such as DJI M300/M350, and is suitable for agricultural and forestry remote sensing, ecological investigation, precision agriculture and other scenarios.


High precision hyperspectral imaging technology

Serving the fields of agriculture and ecology, covering the entire process from seedling growth to harvest.

High resolution multispectral unmanned aerial vehicle sensors for plant classification, weed identification, environmental research and protection, and digital plant phenotype analysis

Benefits Advantage

Detailed analysis of carotenoids and anthocyanins using indicators such as PRI, ARI, and CRI.

Obtain images equivalent to Landsat and Sentinel satellite data at higher resolution.

Conduct a detailed analysis of chlorophyll efficiency and identify weeds.

Reliable timing analysis can be performed even under changing lighting conditions.

Utilizing machine learning and artificial intelligence to achieve accurate counting during the early stages of crop growth.

Generate insights beyond the visible range of the naked eye through various outputs and metrics such as RGB, NDVI, NDRE, OSAVI, PSRI, and DSM.

Use your existing device - compatible with most professional drone platforms such as DJI and Pix4D.

There are four bands in the red edge spectrum that can distinguish more biophysical parameters.

Core positioning and value

  • Spectral coverage: Three cameras each have 5 narrow bands, totaling 15 multispectral bands, matched with Landsat/Sentinel satellite bands, and can calculate multiple vegetation indices (NDVI, NDRE, etc.).

  • Accuracy and efficiency: After full-color sharpening, the ground sampling resolution reaches 2cm at a height of 60 meters, with a single camera of 1.6MP multispectral+5.1MP panchromatic, and a maximum of 3 frames per second (RAW DNG), balancing data accuracy and acquisition efficiency.

  • Environmental adaptation: DLS2 light sensor+CRP2 reflectivity panel ensures radiation calibration consistency, resists strong light/shadow, supports RTK positioning, and data is compatible with mainstream remote sensing software.


Technical Specifications

Project parameters



Spectral configuration

15 multispectral bands (5 for each of the three cameras), including blue/green/red/red edge/near-infrared, with a bandwidth of 27-32nm

Sensor specifications

Single camera 5 × 1.6MP multispectral+1 × 5.1MP panchromatic; Three machine synchronous imaging, pixel alignment

Spatial resolution

After 60 meters of full-color sharpening, 2cm/pixel, which is twice as high as RedEdge MX

Shooting performance

Maximum 1 second 3 frames per second (RAW DNG), global wide gate distortion free, supports linear scanning (15km/h cruising)

Positioning and Calibration

Support DJI SkyPort to obtain RTK centimeter level positioning; DLS2+CRP2 radiation calibration ensures data consistency

physical properties

Single camera weighing approximately 300g (including DLS2), size 8.2 × 6.2 × 5.4cm, compliant with NDAA

Storage and Interface

CFexpress card high-speed storage, compatible with fixed wing/multi rotor drones

Application scenarios

  1. Doubling the data dimension: covering 15 bands more comprehensively, it can identify subtle vegetation stress and improve the accuracy of single tree/plot classification.

  2. Efficient large-scale monitoring: 2cm resolution+3 frames per second, capable of completing over 200 hectares of agricultural and forestry/ecological surveys in a single day, significantly improving the efficiency of indoor processing.

  3. Multi source fusion capability: Spectrum+3D point cloud+RTK positioning, capable of generating DSM/DTM with spectral information, suitable for single tree diameter measurement, volume calculation, etc.

  4. Typical scenarios: precision agriculture (growth/pest/water and fertilizer management), forest resource survey (single tree parameter extraction), ecological environment monitoring (wetland/mining area restoration), disaster assessment (crop damage grading).