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Drone Spectral Imaging Index Analyzer

The UAV spectral imaging index analyzer enables real-time monitoring for applications including rivers and lakes (water pollution monitoring, identification of suspected pollution sources, monitoring of aquatic ecological disasters, shoreline environmental surveys, and treatment of black-and-odorous water bodies); agriculture (assessment of planting conditions, monitoring of crop growth, analysis of crop lodging, variable-rate pesticide application, and estimation of crop yields); and forestry and grassland management (physicochemical parameters of trees, structural parameters of forests, water and nutrient stress in trees, tree diseases and pests, grassland productivity, grassland coverage, grassland disasters, grassland degradation, and grassland nutrition). It provides users with first-hand information and insights through a single integrated “map,” offering technical support to address their key pain points.

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  • Product Description
  • Parameter Introduction
  • Precautions
  • Product Performance

    Optical performance

    Spectral range

    460–570 nm + 640–785 nm (default range for dual cameras; customization available)

     

    Number of spectral channels

    9 (single camera) / 18 (dual camera)

     

    Spectral resolution

    ≤12nm

     

    Exposure time

    28 μs – 1 s

     

    Image resolution

    1020×1020

     

    Lens perspective

    36° (diagonal)

     

    Lens focal length

    25mm

     

    Lens aperture

    F/4

    Hardware configuration

    Compatible with drones

    DJI M210 & M300 (other models can be customized)

     

    Compatible with gimbal

    Dji Xport

     

    Dimensions (length × width × height)

    85×80×100mm (without lens)

     

    Weight

    550g (excluding gimbal)

     

    Embedded computer interface

    USB3.0 + HDMI

     

    Storage device

    Built-in Micro SD card, 64G by default, supports up to 128G.

    Work performance

    Minimum working distance

    20m

     

    Voltage

    13.6v

     

    Power consumption

    20W

     

    POS data

    Xport GPS data

     

    Spectral image acquisition rate

    1.45 fps (no real-time model computation)
    1–15 seconds/set (real-time model computation)

    Data processing

    Image storage format

    10-bit RAW + HDR; spectral imaging + index results

     

    Real-time inversion of the index

    Online model for 25 vegetation indices including NDVI, EVI, NDVI705, SAVI, RVI, and multiple water body indicators

     

    Spectral curve

     

    Ecological and Environmental Spectral Imaging Index Analyzer

    It enables real-time monitoring for applications such as water pollution surveillance, identification of suspected pollution sources, monitoring of aquatic ecological disasters, shoreline environmental surveys, and remediation of black-and-odorous water bodies. Moreover, it can provide real-time distribution data for over 20 water quality indicators—including total nitrogen, total phosphorus, chlorophyll a, suspended solids, permanganate index, algal distribution, and eutrophication index—truly achieving real-time, efficient, and online analysis and monitoring of the aquatic environment.

    Drone-based spectral imaging index analyzer monitors river factory discharge outlets.

    Drone-based spectral imaging index analyzer monitors river water quality conditions.

    Drone-based spectral imaging index analyzer assesses water quality grades of rivers and lakes.

    Drone-based spectral imaging index analyzer identifies the distribution of eutrophication status in the Liangxi River.

    Using hyperspectral imagery from drones combined with auxiliary camera footage to identify potential sources of river pollution in the surrounding river environment.

    Drone-based spectral imaging index analyzer assesses lake water quality.
     

    Precision Agriculture Spectral Imaging Index Analyzer

    Real-time monitoring enables applications such as crop condition assessment, crop growth monitoring, crop lodging analysis, variable-rate pesticide application, and crop yield estimation. At the same time, it provides real-time online maps showing the distribution of crop growth, lodging, and yield in the target area, offering first-hand information and insights for field operations through a single integrated “map.” This truly achieves intelligent management of agriculture.

    Monitor crop growth and yield.

    Crop Disease Severity Classification Monitor Crop Growth and Yield

    Soil moisture content, soil organic matter content, and distribution detection

    Monitor crop growth.

    Fine-scale Spectral Imaging Index Analyzer for Forest and Grassland

    It enables real-time monitoring of applications including forest and tree physicochemical parameters, forest structure parameters, water and fertilizer stress on trees, tree diseases and pests, grassland forage yield, grassland coverage, grassland disasters, grassland degradation, and grassland nutrition. At the same time, it provides real-time online distribution maps of vegetation growth, physicochemical parameters, and yields in the target area, delivering first-hand information and insights to customers through “a single map,” thereby truly achieving intelligent management of forests and grasslands.

    Forest Spectral Index Analysis

    Analyze the leaf area index of trees and the location of diseased wood (red portion).

    Analyze canopy size and tree species

    Tobacco Spectral Imaging Index Analyzer

    China is a major tobacco-growing country, with tobacco cultivated in all provinces across the nation. Both the area under cultivation and the total output currently rank first in the world. Tobacco-related tax revenues play a pivotal role in China’s overall tax revenue structure and have made substantial contributions to the country’s economic development. Among China’s total tobacco leaf production, flue-cured tobacco accounts for more than 80%, making it the primary raw material for cigarette manufacturing. For a long time, China has relied on traditional methods—methods that are time-consuming, labor-intensive, and costly—to monitor and assess the growth and quality of tobacco crops in tobacco fields. Unmanned aerial vehicle (UAV) spectral imaging technology represents an efficient approach to tobacco cultivation management. It can rapidly and accurately provide decision-makers with comprehensive, large-scale information on the growth status of tobacco crops in fields, offering valuable data for optimizing fertilization, irrigation, and pesticide application. This technology helps significantly enhance the modernization of pesticide use and promotes the sustainable development of modern agriculture. Therefore, UAV spectral imaging technology holds great potential for application in tobacco field monitoring and is emerging as a new trend in tobacco field management.

    Inversion Map of Total Nitrogen and Nicotine in Tobacco Chemical Composition at the Nan Shibanqiao Tobacco Base

     

    Application fields

    Industry application areas (including but not limited to the following aspects):
    (1) Ecological and Environmental Protection: Water pollution monitoring, identification of suspected pollution sources, monitoring of aquatic ecological disasters, shoreline environmental surveys, and remediation of black-and-odorous water bodies, etc.;
    (2) Precision agriculture: crop condition assessment, crop growth monitoring, analysis of crop lodging, variable-rate pesticide application, crop yield estimation, soil heavy-metal detection, and soil fertility assessment, among others;
    (3) Precision Forestry and Grassland Management: Physicochemical parameters of trees, water and nutrient stress in trees, tree diseases and pests, tree classification, grassland coverage, grassland disasters, and grassland degradation, etc.;
    (4) Target recognition: identification of pine wood nematode-infected wood, differentiation of poppies, detection of camouflage, etc.;
    (5) Smart Cities: Illegal housing construction, urban vegetation coverage, urban power grid surveys, water resource management, and more;
    (6) Resource exploration: oil exploration, non-ferrous metal prospecting, rock and ore detection, etc.

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