守护大美生态的“天眼” 将更清晰更智慧

Core Viewpoint - The implementation of the "Ecological Environment Monitoring Regulations" starting from January 1 aims to establish a comprehensive ecological environment monitoring network that integrates land and sea, space and ground, and promotes information sharing. Group 1: Remote Sensing Technology - Remote sensing technologies, represented by satellites and drones, have unique advantages such as high precision, short cycles, and comprehensive coverage, making them indispensable in ecological monitoring and protection [1][2] - The Ministry of Ecology and Environment has significantly enhanced satellite remote sensing capabilities since the 14th Five-Year Plan, currently operating 7 ecological environment satellites to form a multi-satellite monitoring system [1] Group 2: Habitat Monitoring - High-frequency satellite data serves as a powerful tool for low-cost detection of habitat destruction, enabling timely monitoring of human activities within important habitats [2] - The introduction of domestically produced high-resolution satellite data has led to a reduction of 28,000 square kilometers in the suitable habitat range for snow leopards, providing precise spatial data for conservation planning [2] Group 3: Drone Applications - Drones are widely used in ecological monitoring due to their flexibility, high resolution, efficiency, and low cost, bridging the gap between ground surveys and satellite remote sensing [2] - In Inner Mongolia, drones can automatically collect grassland species data and transmit high-definition images in real-time, achieving an identification accuracy of 88.6% for various plant species [3] Group 4: Emerging Technologies - New technological tools are continuously emerging, such as medium fixed-wing drones with over 4 hours of endurance and specialized payloads for detailed habitat information, and multifunctional ecological patrol vehicles for wildlife monitoring [3][4] - The future will see further integration of remote sensing technology with artificial intelligence, enhancing the clarity and intelligence of ecological monitoring systems [4]