Core Viewpoint - The integration of drone technology into natural resource supervision is transforming traditional inspection methods, enhancing efficiency and effectiveness in data collection and decision-making processes [3][11]. Group 1: Multi-Dimensional Information Capture - Drones equipped with diverse sensors, including LiDAR and thermal imaging, extend information gathering from visible to multi-dimensional data, enabling precise identification of non-agricultural land disguised as farmland [3][11]. - The ability to capture thermal signals allows for the detection of illegal mining activities even under dense vegetation, enhancing the depth of resource utilization information [5][11]. Group 2: Temporal and Spatial Flexibility - Drones demonstrate strong adaptability to various terrains, enabling comprehensive inspections in challenging environments such as steep mountains and wetlands, achieving "no blind spots" in monitoring [12]. - Small drones can be deployed within 10 minutes for immediate response, while larger drones can cover hundreds of square kilometers for macro-level scanning, facilitating a combination of detailed and broad inspections [12]. Group 3: Enhanced Data Precision - Advances in positioning and surveying technologies have led to centimeter-level accuracy in drone data, meeting high precision requirements for land surveys and mineral extraction monitoring [13]. - In Hebei province, drones have been used to create 3D models that accurately calculate monthly extraction volumes, with discrepancies controlled within 3%, providing a solid basis for resource management [13]. Group 4: Cost-Effectiveness and Efficiency - The cost of a small to medium-sized drone system is significantly lower than traditional surveying equipment, making it feasible for widespread adoption in natural resource departments [14]. - The use of drones has reduced the time required for inspections from five days to two in hard-to-reach areas, optimizing resource allocation and enhancing accuracy in data verification [14]. Group 5: Dynamic Collaborative Capability - Drones serve as a critical node in an integrated natural resource supervision network, collaborating with satellite imagery and ground sensors to create a comprehensive inspection model [15]. - This collaborative approach enhances the speed and efficiency of inspections, transitioning from single technology applications to multi-technology operations, significantly improving response times and operational effectiveness [15].