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Drone Spectral Imaging Index Analyzer
- Product Description
- Parameter Introduction
- Precautions
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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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