研究类项目包括：研究起草国土空间规划法、地籍管理暂行办法、矿业权登记办法；研究修改铺设 海底电缆管道管理规定、闲置土地处置办法、建设用地审查报批管理办法、建设项目用地预审管理办 法、矿产资源规划编制实施办法、地质资料管理条例实施办法以及林木种子生产经营许可证管理办法。 此外，自然资源部还将积极配合立法机关推进生态环境法典编纂和耕地保护和质量提升法、国家公 园法、密云水库保护条例、自然保护区条例等法律法规制修订工作，组织推进地质调查法立法研究论 证，统筹推进生态修复、土地整理复垦、自然资源权属争议调查处理和"三北"工程建设等方面的立法研 究储备工作。同时，持续推进自然资源管理规章的清理工作，以保障法律法规体系的一致性和规范性。 今年共安排立法项目16件，包括出台类立法项目6件、研究类立法项目10件。 根据工作计划，出台类立法项目包括：拟报国务院审查的法律草案1部，即研究起草不动产登记 法；拟报国务院审查的行政法规草案2部，分别是研究起草矿产资源法实施条例、研究修改风景名胜区 条例；拟由自然资源部发布的部门规章3部，分别是研究修改划拨用地目录、研究起草永久基本农田保 护红线管理办法、研究起草卫星导航定位基准站管理 ...

Group 1 - The core viewpoint of the news is the recognition of Guangxi Remote Sensing Institute for its outstanding technical capabilities in the field of natural resource monitoring and investigation, having won the "Advanced Collective" title in the 2024 National Natural Resource Survey and Monitoring Labor and Skills Competition [1] - The institute has established a strong foundation in survey and monitoring work, achieving first place in the team category at the 2024 Guangxi Natural Resource Industry Skills Competition, showcasing its professional standards and team spirit [1] - The institute emphasizes innovation-driven and talent development strategies, creating international and authoritative technology innovation platforms to attract top talents and enhance practical skills through competitions [3] Group 2 - The Guangxi Remote Sensing Institute has built seven innovation platforms, including the China-ASEAN Satellite Remote Sensing Application Center, to leverage funding, projects, and resources to attract top talents in survey and monitoring [3] - The institute has implemented a competition-driven approach to enhance skills and service capabilities, resulting in multiple awards at both regional and national levels, including individual and team recognitions in various competitions [5] - The institute has developed a rapid response mechanism for natural resource change monitoring, significantly reducing the time required for data interpretation from over a month to within one day, achieving a 96.39% automatic identification rate [8] Group 3 - The Guangxi Remote Sensing Institute focuses on strengthening technological support and improving quality and efficiency, conducting research on new models and algorithms to build an intelligent remote sensing monitoring system [7] - The institute has made significant advancements in key technology research, receiving multiple awards for its contributions to the field, including national and regional science and technology awards [8] - The institute is committed to transforming its monitoring product technology system from digital and informational to intelligent, driving innovation in core technologies and service models [10] Group 4 - As a technical support unit for the unified natural resource registration in Guangxi, the institute has developed effective workflows and standards, completing significant natural resource registration projects across various regions [11] - The institute has created a dynamic database for mangrove resources, establishing a comprehensive monitoring technology system to track changes over the past 20 years, providing scientific basis for ecological restoration [11] - The Guangxi Remote Sensing Institute aims to continue deepening technological innovation and optimizing service systems to contribute to the high-quality development of natural resource survey and monitoring [11]

Group 1: AI Technology in Natural Resource Monitoring - The introduction of AI technology in natural resource monitoring significantly enhances the precision of identifying various tree species, which is crucial for detailed investigations of forests, grasslands, wetlands, and desertification [1][14] - AI can assist in the classification of land types, such as distinguishing between different vegetation types and improving the accuracy of land use assessments, thereby reducing manual workload [2][14] - The application of AI in data extraction, field verification, result validation, and analysis stages is expected to optimize the entire monitoring process, leading to increased efficiency and accuracy [2][14] Group 2: Evolution of Monitoring Techniques - The transition from traditional paper-based surveys to digital methods using tablets, and now to smartphone-based comprehensive monitoring, reflects the industry's adaptation to technological advancements [3][16] - Future expectations include the seamless integration of more advanced technologies into natural resource monitoring to continuously improve efficiency and expand operational boundaries [3][16] Group 3: Importance of Data and Technology Integration - The integration of high-resolution imagery and AI for automatic monitoring and data extraction is a key development in enhancing the capabilities of natural resource departments [2][14] - The establishment of automated models for result verification and the creation of local knowledge bases using big data analytics are essential for intelligent natural resource management [2][14]

Group 1 - The meeting emphasized the importance of advancing major scientific and technological projects in natural resources, aligning with national strategic tasks and current needs [1][2][9] - It was highlighted that the natural resources sector is transitioning from a following and catching-up phase to a leading phase in technological innovation [2][9] - The meeting called for enhanced collaboration and precise management in the implementation of key technology projects, ensuring the effective use of funds and resources [1][2][8] Group 2 - The meeting discussed the establishment of a long-term mechanism for supervising major scientific projects and national key laboratories, focusing on risk identification and management [1][2][8] - It was noted that the integration of ecological restoration with industrial heritage protection is crucial for achieving sustainable development in urban areas [3][4][5] - The release of a long-term satellite remote sensing dataset for marine color elements aims to support marine environmental monitoring and disaster reduction efforts [6][9]

Core Insights - The National Satellite Ocean Application Center released a long-term satellite remote sensing product dataset for marine water color elements in China's coastal waters, which will be continuously updated and shared for various applications in the marine field [1][2] - The dataset includes remote sensing product data from 2000 to 2024, covering chlorophyll a concentration and suspended matter concentration, with a spatial resolution of 4 kilometers, serving as a tool for ecological monitoring and disaster reduction [1] Group 1 - The dataset is part of a broader initiative to build a strong marine nation, develop the marine economy, and protect the marine environment by providing extensive marine environmental information [1] - The dataset is derived from both domestic and international marine water color satellite remote sensing observation data, enhancing the effectiveness of satellite data applications [1] - The dataset will aid in monitoring ecological environment elements and analyzing the probability distribution of phytoplankton blooms [1] Group 2 - The long-term observation of China's coastal waters will be supported by the Chinese marine satellite series, ensuring data products are publicly shared for ecological monitoring and disaster reduction [2] - The dataset contributes to the "marine disaster prevention and reduction" thematic products, providing data support and technical assistance for marine economic development [2]

多联网作业。挪威北极大学供图 考察队利用"雪龙2"号的破冰和冰区作业能力，克服了大风、低温、高密度海冰等作业困难，重点开展三个方面的研究。一是秋冬季极端天气下冰间湖 内产冰-深对流-底层水形成的物理过程对垂向碳通量的影响；二是秋冬季弱光-黑暗下驱动生态系统的能量来源、储藏、消耗和埋藏过程；三是秋冬季生物种 群的越冬策略，及其与春季生态结构和生产力的相关关系。 该航次累计完成4条断面共24个综合海洋调查站位，其中1个为24小时连续观测站，各项生物拖网、水样采集等任务均完成或超额完成。此外，还完成了 声学多普勒海流剖面仪、鱼探仪及海冰、鸟类哺乳动物等走航观测，开展了表层水、气溶胶等走航采样，累计布放了34个各类浮标。采集水样、膜样、沉积 物、生物及海冰样品共计5000余份。 该航次在国际上首次系统开展了南极秋季结冰期浮游动物、南极磷虾、中层鱼、鸟类和哺乳类等生态系统重要营养级的观测调查，提升了国际社会对南 极秋季暗环境下关键生物类群和生态系统环境适应、生存策略的认知。 J e The Bear of V THE STATE 11 1 Alling 12 8 L g 1 4 - A 2 - 1 PAGE --- 1 ...

Core Viewpoint - The Ministry of Natural Resources' Beihai Bureau is organizing a series of disaster prevention and reduction educational activities to enhance public awareness and emergency response capabilities regarding marine disasters, starting from May 12 [1][11]. Group 1: Event Overview - The main event took place on May 12 in Qingdao, organized by the Beihai Bureau and supported by various local institutions, featuring over 20 science exhibition boards and nearly 10 types of observation instruments [4]. - The event attracted thousands of citizens, with over 2,000 promotional materials distributed, including brochures on marine disaster prevention [4]. Group 2: Educational Activities - Volunteers provided education on typical marine disasters such as waves, sea ice, and storm surges, helping participants understand risks and prevention strategies [6]. - A "Marine Little Guardian" program was launched to recruit students for marine disaster education, with classes scheduled to air on local radio [6][8]. Group 3: Community Engagement - The series of activities involved collaboration among multiple departments and aimed to bridge the gap between the public and marine safety knowledge [11]. - The initiative also included school lectures to instill safety awareness and emergency self-protection skills in children [8][11].

Core Viewpoint - The article emphasizes the importance of marine disaster prevention and reduction, highlighting recent marine disasters in China and the educational activities aimed at raising awareness among youth about marine safety and environmental protection [1][8]. Group 1: Marine Disasters - In 2024, China experienced 12 temperate storm surge events, 10 typhoon storm surge events, and 33 disaster-causing wave events, posing significant threats to coastal life and property [1]. - The article discusses various types of marine disasters, including destructive waves, sea ice, red tides, tsunamis, and storm surges [1]. Group 2: Educational Activities - The event involved over 40 young reporters from Guangxi, who participated in an immersive learning journey at the Guangxi Marine Research Institute and the Fangchenggang Marine Bureau [1][8]. - The children learned about the dual nature of the ocean through engaging videos, which illustrated both its gentle and destructive capabilities [2]. - The young reporters engaged in hands-on activities, such as measuring tree species and ecological indicators in the mangrove forest, fostering a connection with nature [4][6]. Group 3: Technology in Marine Safety - The young reporters were introduced to the role of marine buoys in real-time data collection for hydrology, meteorology, and ecology, which is crucial for predicting marine disasters [3]. - They observed the use of surveillance technology in monitoring marine conditions, which helps in early detection of anomalies and enhances marine safety [7]. - The event highlighted the integration of technology and responsibility in safeguarding marine environments, inspiring the youth to consider careers in marine science and conservation [7][8].

Group 1 - The 17th National Disaster Prevention and Mitigation Day was observed on May 12, with Tianjin's planning and natural resources bureau focusing on the theme "Everyone Talks Safety, Everyone Can Respond" [1] - The event involved collaboration with 8 units and 4 technical institutions, utilizing a "policy promotion + technical demonstration + interactive experience" model, reaching over 2000 participants and distributing more than 3000 promotional materials [1] - The initiative reflects the commitment to the principle of "People First, Life First" [1] Group 2 - A multi-dimensional public awareness campaign was established, utilizing various media platforms including print and digital to enhance disaster awareness [3] - The Tianjin Daily published a special edition on marine disasters, and the "Tianjin Marine Environment Forecast" WeChat account featured a dedicated column for 7 consecutive days, sharing knowledge on storm surges and sea ice [3] - Electronic screens in coastal hazard areas displayed the "Marine Disaster Defense Guide" to foster a participatory atmosphere for disaster prevention [3] Group 3 - Collaboration among government, enterprises, and educational institutions was emphasized to strengthen emergency response capabilities [3] - A special seminar was held in the Dongjiang Free Trade Zone with participation from 25 marine-related enterprises, focusing on disaster warning mechanisms and emergency plan development [3] - Interactive activities at the main venue attracted over 1000 visitors, enhancing awareness of marine disaster risks [3] Group 4 - Educational initiatives targeting youth were launched to cultivate future "Blue Guardians" for marine safety [4] - Students from Hai Jia International Bilingual School engaged in hands-on experiments in a chemistry and biology lab, fostering a sense of responsibility for marine protection [4] - Over 200 students and teachers participated in a marine knowledge class, learning practical skills for storm surge warning and self-rescue [4] Group 5 - The Tianjin bureau plans to use this event as a foundation to further develop the marine disaster prevention system, emphasizing technological empowerment and an integrated approach to prevention, resistance, and rescue [4] - Regular emergency drills for marine disasters will be conducted, and efforts will be made to disseminate disaster prevention knowledge across communities, enterprises, and schools [4] - The goal is to create a robust barrier for the safety of people's lives and property while supporting the socio-economic development of Tianjin's coastal areas [4]

该系统引接海洋预报历史数据，结合实时更新的卫星遥感、船载北斗定位终端、船舶自动识别系统 等数据，运用智能推演算法，实时生成动态变化的救援场景及漂流轨迹图。救援指挥中心可通过三维可 视化界面，实时掌控海上现场情况，精准调度救援船只、直升机、潜水设备等资源，使演练更贴近实 战。 福建省海洋与渔业厅相关负责人介绍，福建省地处中国东南沿海，海域面积13.6万平方千米，受恶 劣天气影响较为频繁，海上船舶作业活动繁忙，险情事故易发多发。该系统的上线运行将为福建省海洋 渔业高质量发展保驾护航。 此外，福建省海洋与渔业局还重点展示了数字孪生技术赋能的海上应急救援智能模拟演练系统阶段 性成果。该系统是"海上福建"总平台的子系统，旨在通过数字孪生技术，在虚拟空间中1∶1复刻真实海 洋环境，模拟不同天气条件下的救援场景，标志着福建海洋应急能力向"数智化"转型迈出关键一步。 近日，在第八届数字中国建设峰会上，由福建省海洋与渔业局牵头谋划并推动建设的一体化大融 合"海上福建"总平台（一期）亮相，展示了福建省在海洋数智化转型升级方面开展的前瞻性布局和取得 的阶段性成果。 该平台以"协同一体化、应用大融合"为核心思路，综合运用"人工智能+ ...