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Shanghai Jiaruice Electronic Technology Co., Ltd

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    6th Floor, Building 6, No. 2511 Huancheng West Road, Nanqiao Town, Fengxian District, Shanghai

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Unmanned Aerial Vehicle Hyperspectral Measurement System

NegotiableUpdate on 05/06
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Overview

The FS60 flight carrying platform of the unmanned aerial vehicle hyperspectral measurement system adopts DJI M350RTK, which has good flight stability and maneuverability and can carry various mission payloads. $r $n Hyperspectral Imager: The core component adopts a high signal-to-noise ratio ultra high speed spectral scanning imaging device, which can provide highly stable spectral image acquisition and ensure the acquisition of high-quality spectral data. Other units include embedded data acquisition, processing, and storage units, wireless image transmission systems, GPS-RTK navigation systems, ground receiving workstations, ground control systems, and reflectance calibration boards, all of which work together.

Product Details

无人机高光谱测量系统


Unmanned Aerial Vehicle Hyperspectral Measurement SystemSystem Composition

    • Flight carrying platformAdopting DJI M350RTK, it has good flight stability and maneuverability, and can carry various mission payloads.

    • Hyperspectral imaging instrumentThe core component adopts a high signal-to-noise ratio ultra high speed spectral scanning imaging device, which can provide high stability spectral image acquisition and ensure the acquisition of high-quality spectral data.

    • Other unitsIncluding embedded data acquisition, processing, and storage units, wireless image transmission systems, GPS-RTK navigation systems, ground receiving workstations, ground control systems, and reflectance calibration boards, all work together to achieve data acquisition, transmission, processing, and analysis.

    Unmanned Aerial Vehicle Hyperspectral Measurement SystemTechnical Features

    • Hyperspectral resolutionThe spectral resolution is as high as 2.5nm, which can capture the subtle spectral differences of ground objects at different wavelengths, providing rich spectral information for accurate identification and analysis of ground objects.

    • Wide spectral rangeThe spectral range covers 400-1700nm, including multiple bands such as visible light, near-infrared, and shortwave infrared, which can adapt to the spectral characteristics of different land features and various application scenarios.

    • Efficient data processingOur self-developed high-efficiency and low-power image processing algorithm not only greatly extends the flight time of the entire machine and reduces system power consumption, but also enables rapid processing and analysis of a large amount of collected spectral data, improving work efficiency.

    • Real time observation and rich functionalityReal time observation of aircraft sampling locations through ground stations, with functions such as radiometric correction, reflectance correction, and area correction, and supporting batch processing. It also has real-time commonly used vegetation index calculation function and custom real-time analysis model input function, which facilitates users to process and analyze data according to actual needs. ENVI is compatible with multiple data formats, making it easy to use in conjunction with other professional software.

      application field

    • precision agricultureBy measuring the spectral image information of crops in real-time, it can be used to monitor crop growth, evaluate yield, analyze pest and disease conditions, and guide precise fertilization, helping farmers improve crop yield and quality and achieve precision agricultural management.

    • Forestry monitoringCan be used for forest pest and disease monitoring and fire prevention monitoring, timely discovering pest and disease areas and potential fire hazards in the forest, providing strong support for forest resource protection.

    • environmental monitoringSuitable for monitoring coastline and marine environment, lake and watershed environment, etc., it can monitor the pollution status of water bodies, algae distribution, water quality changes, etc., providing data support for environmental protection.