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Airborne Hyperspectral Nest System
Intelligent airborne hyperspectral machine nest system FS-AP-60C
CHNSpec Intelligent Airborne Hyperspectral Machine Nest System: Opening a New Journey of Digital Ecological Monitoring

Under the strategic background of the country vigorously promoting the digital transformation of the ecological environment monitoring network, the "National Ecological Environment Monitoring Network Digital Transformation Plan" issued by the Ministry of Ecology and Environment clearly proposed to take the lead in exploring a new generation of monitoring networks in key areas with unmanned operation and maintenance, intelligent sampling, dark laboratories, and stereo telemetry as the hallmarks. CHNSpec actively responded to the policy call and, with its deep technical accumulation and keen market insight, launched the intelligent airborne hyperspectral machine nest system, empowering ecological environment monitoring with innovative technology and bringing new solutions to the industry.
Hitting the pain points of the industry and reshaping the monitoring model

At present, most industry drone applications are still based on manual or semi-automatic operation modes, and the entire operation process relies on human intervention. Not only is the labor cost high, but the operation threshold also discourages many users. CHNSpec deeply analyzes the pain points of the industry, deeply integrates drone technology with spectral technology, and creates an intelligent airborne hyperspectral machine nest system, which successfully breaks through the shackles of traditional monitoring modes. Through the innovative design of drone airports, the system realizes off-site unmanned ecological monitoring, greatly improves the efficiency of ecological management, and provides solid technical support for the implementation of the "low-altitude + governance" model.
Drone intelligent base station: full process automation guarantee

As the core hub of the system, the UAV intelligent base station integrates eight core functions, including intelligent storage, autonomous take-off and landing, intelligent operation, automatic recovery, automatic battery replacement, data return, intelligent analysis, and hot battery replacement. From the energy supply of the UAV to the execution of the mission, from data collection to analysis and processing, no human intervention is required throughout the process, truly realizing the full-process closed-loop management of the UAV automated operation under unattended conditions, laying a solid foundation for efficient and stable monitoring work.
Unattended operation: flexible and safe, efficient and precise

The system uses a lightweight hyperspectral payload system, which is perfectly matched with the industry-leading DJI M400 drone and the color spectrum FS-AP automated machine nest to achieve automated task planning and execution. The drone has autonomous flight capabilities, supports intelligent path planning and dynamic obstacle avoidance functions, and can flexibly adjust the flight route according to the actual environment. Even in extreme conditions such as complex terrain and bad weather, it can safely and accurately complete monitoring tasks, greatly improving the flexibility and safety in actual operations.
Remote monitoring and management: real-time control at your fingertips

The ground station can provide all-round real-time data feedback. Users can remotely view the equipment's operating status, task progress and real-time data flow through a visual interface. During the operation, users can monitor the working status at any time and manually take over the control when necessary to ensure that the task is foolproof. No matter where you are, you can achieve efficient management of monitoring work, truly achieving "strategy in the tent, victory thousands of miles away".
Built-in intelligent algorithm: autonomous upgrade, unlimited expansion

The system has built-in multiple advanced deep learning algorithms, which support users to freely import different algorithm models according to their own application needs, and conduct self-training and upgrading. Whether it is water quality monitoring, vegetation analysis, or other complex scene monitoring tasks, the system can continuously expand application scenarios and continuously improve monitoring accuracy through algorithm optimization and iteration to meet diverse business needs.
Real-time inversion capability: data is decision-making, every second counts

The data acquired by the hyperspectral sensor in real time can be quickly processed and inverted by the system, and the results can be uploaded to the cloud platform in real time. In the face of sudden environmental events such as water pollution and forest fires, the system can quickly provide accurate monitoring data, provide immediate support for emergency decision-making, effectively shorten decision-making response time, and improve event handling efficiency.
Adapt to various scenarios: one device for multiple uses, comprehensive coverage

The system has built-in water quality monitoring, vegetation index analysis and other professional algorithms. One system can be widely used in agriculture, forestry, water quality, cities and other fields. In the agricultural field, it can monitor the growth of crops and provide precise fertilization guidance; in the forestry field, it can inspect forest resources and provide early warning of pests and diseases; in water quality monitoring, it can grasp the water pollution situation in real time; in urban management, it can also assist in ecological environment assessment, urban greening monitoring and other work, maximizing the powerful performance of its low-altitude integrated remote sensing monitoring.
Support third-party data calibration: accurate, reliable and trustworthy

The system supports access to high-precision data from third-party laboratories or online monitoring sites, automatically calibrates airborne remote sensing analysis results, effectively corrects system errors, and ensures the accuracy and reliability of monitoring data. Whether it is scientific research, environmental monitoring, or business decision-making, it can provide users with reliable data support.