一种基于无人机多模态协同的红树林植物多样性调查系统及方法
By using a multimodal collaborative method involving drones to collect data above and inside mangroves, combined with path planning by a control module, and stabilizing the drones on the water surface during high tide using clamping and floating components, the problems of canopy obstruction and high tide blind spots in mangrove plant diversity surveys have been solved, improving the accuracy and efficiency of data collection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING INST OF ENVIRONMENTAL SCI MINIST OF ECOLOGY & ENVIRONMENT OF THE PEOPLES REPUBLIC OF CHINA
- Filing Date
- 2025-05-06
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional mangrove plant diversity survey systems suffer from a lack of information on vegetation below the canopy because the remote sensing module only collects data from above the vegetation. Furthermore, large-scale mangrove surveys are prone to encountering blind spots during high tide, which affects data collection efficiency.
Using a multimodal collaborative approach with unmanned aerial vehicles (UAVs), remote sensing equipment was used to collect data above and inside the mangroves. The data collection path was planned using a control module, and the system was connected to the branches via clamping components during high tide. The system was stabilized on the water surface using lifting and floating components to continue data collection.
This effectively avoids diversity assessment errors caused by canopy shading, improves data collection efficiency, and ensures that drones do not leave the mangrove forest to continue data collection during high tide.
Smart Images
Figure CN120428753B_ABST