Core Viewpoint - The integration of drone technology, LiDAR, and AI is transforming natural resource supervision, enhancing efficiency and precision in data collection and analysis, and addressing the limitations of traditional inspection methods [3][11][20]. Group 1: Technological Advancements - Drones are becoming a key technology in enhancing the effectiveness of natural resource supervision, allowing for multi-dimensional information capture beyond traditional methods [3][5]. - The integration of various sensors, including LiDAR and high-resolution cameras, enables comprehensive data collection, improving the accuracy of inspections [4][14]. - The use of AI algorithms for data processing allows for real-time analysis and automated identification of issues, significantly increasing the efficiency of problem detection [13][20]. Group 2: Operational Efficiency - Drones provide high spatial adaptability, allowing for inspections in challenging terrains such as mountains and wetlands, ensuring comprehensive coverage [5][14]. - The system supports dynamic monitoring, enabling quick responses to emerging issues and long-term surveillance of ecological areas [5][12]. - The cost-effectiveness of drone operations compared to traditional methods enhances the overall efficiency of natural resource management [6][14]. Group 3: Applications in Natural Resource Management - The technology supports various applications, including farmland protection, land use regulation, and ecological restoration, significantly improving the detection of potential violations [11][16]. - LiDAR technology allows for precise identification of illegal activities, such as unauthorized construction and mining, by overcoming the limitations of traditional satellite imagery [15][17]. - The system can estimate agricultural metrics, such as planting and fallow areas, contributing to food security assessments [18]. Group 4: Strategic Implications - The adoption of this technology encourages a shift in mindset among supervisory personnel, promoting proactive problem identification rather than reactive measures [20][21]. - By establishing independent data sources, supervisory agencies can enhance their operational capabilities and reduce reliance on external support [21]. - The technology enables continuous and standardized inspections, addressing previously challenging areas such as illegal land use and resource extraction [21].

Core Insights - The article discusses the transformative role of drone technology in enhancing the efficiency of natural resource supervision, addressing the limitations of traditional inspection methods [3][7][11]. Group 1: Drone Technology Advantages - Drones provide multi-dimensional information capture, overcoming the limitations of single-sensor perception by integrating various sensors like LiDAR, thermal imaging, and hyperspectral cameras [3][5]. - The precision of data collected by drones has significantly improved, with high-accuracy positioning systems achieving elevation precision better than 0.1 meters, which is crucial for accurate resource assessment [4][5]. - Drones exhibit strong adaptability to complex terrains, enabling comprehensive inspections in areas that are difficult to access, such as steep mountains and wetlands [5][12]. Group 2: Applications in Natural Resource Management - Drones are effectively utilized in various fields, including farmland protection, land use regulation, and ecological monitoring, significantly enhancing the efficiency and accuracy of problem detection [7][9]. - The integration of AI and LiDAR technology allows for real-time analysis and decision-making, facilitating the identification of illegal activities such as unauthorized construction and resource extraction [8][9]. - Drones can quickly respond to inspection tasks, providing real-time data and visual evidence, which is essential for timely decision-making and enforcement actions [12][14]. Group 3: Future Prospects - The future of drone technology in natural resource supervision looks promising with the integration of 5G/6G networks, big data analytics, and AI, which will further enhance operational efficiency and effectiveness [15]. - Drones are expected to evolve from merely extending human vision to becoming a comprehensive technological solution that integrates flight platforms, sensors, and data processing capabilities [15].