Core Viewpoint - The "Research and Application of Key Technologies for Monitoring, Early Warning, and Reclamation of Coal Mining Subsidence Areas" project, organized by Shandong Lunan Geological Engineering Survey Institute, won the second prize of the 2025 Geographic Information Technology Progress Award, marking a significant achievement in the field of geographic information technology in China [1][2]. Group 1 - The Geographic Information Technology Progress Award is one of the most influential awards in China's geographic information technology field, aimed at recognizing outstanding contributions in basic research, technology development, and application services [2]. - The awarded project focuses on the entire process control technology challenges of monitoring, predicting, and reclaiming coal mining subsidence areas, developing a three-dimensional integrated monitoring and early warning technology [2]. - The project has established a new paradigm for precise monitoring, advanced prediction, and dynamic reclamation throughout the life cycle of mining subsidence areas, promoting green, low-carbon, and high-quality development in mining [2][3]. Group 2 - In recent years, the Lunan Institute has emphasized the importance of surveying and geographic information work, leveraging technological innovation to transform and upgrade surveying services [3]. - The institute has established an innovation service system with "two centers and two laboratories," enhancing technical research and deepening the transformation of research results [3]. - The award serves as an opportunity for the Lunan Institute to further leverage its technological advantages and research characteristics, aiming to translate more innovative results into practical applications [3].

Core Insights - Guangzhou has launched the "Eye Care Map," the first street-level digital map focused on eye health, allowing citizens to access eye-friendly travel routes through a mini-program [1] - The map provides quantifiable evaluation standards and decision-making basis for government and urban planning departments, aiming to enhance urban design for eye health [1] Group 1: Development and Collaboration - The map was developed by a team led by Professor Lin Haotian from the National Key Laboratory of Eye Disease Prevention and the Zhongshan Ophthalmic Center, in collaboration with various academic departments [1] - The project integrates multidisciplinary research resources, including ophthalmology, public health, remote sensing, artificial intelligence, and urban planning [1] Group 2: Environmental Factors and Indicators - The research identified significant correlations between environmental factors such as green space, building density, and air pollution with the risk of eye diseases [1] - Five key indicators related to environmental eye health were proposed: green visibility rate, sky visibility, street enclosure, average visible distance, and air pollution rate [2] Group 3: Technological Integration and User Experience - The team utilized various technologies, including remote sensing satellites and AI algorithms, to generate real-time eye care indices for each street in the city [2] - The "Eye Care Map" features a navigation function that dynamically recommends optimal routes based on real-time environmental data, enhancing the travel experience for users [2] Group 4: Data Security Compliance - All data collection and application processes comply with national data security and information protection regulations [3]