黄河中游典型区域的卫星遥感影像图。（中国科学院空天信息创新研究院提供） 不同于传统评估侧重单一指标的局限，该技术首次构建"水资源消耗—土壤固碳—饲草产能"三维协同优 化模型，将生态、经济、用水成本纳入统一评估体系，并以"一图可视化"形式呈现结果。"管理者可直 接通过地图掌握优先种植地块及投入产出比，为资源调配提供精准决策依据。"王树东介绍。（记者胡 喆） 记者从中国科学院空天信息创新研究院获悉，该院王树东研究员团队研发的人工智能与遥感融合技术取 得突破，在我国北方干旱半干旱流域成功实现公里尺度最优饲草带精准识别，相关成果已发表于国际期 刊《水研究》，有望为黄河流域生态保护、国家粮草安全提供科学支撑。 王树东团队创新整合卫星遥感、生态水文模型及地面实测三类数据，通过多源数据融合降低对高密度地 面采样的依赖，运用集成学习、迁移学习等技术，将灌溉用水量、植被生产力等关键生产要素反演精度 提升至90%以上；同时引入区域偏差修正技术，使最优饲草带识别准确度达85%以上。 ...

Core Insights - The State Intellectual Property Office of China has granted a patent for a system and method for road condition analysis based on multi-source data fusion to Shandong Hi-Speed Group Co., Ltd., Shandong Hi-Speed Engineering Testing Co., Ltd., and Shandong University [1] Group 1 - The patent is titled "System and Method for Road Condition Analysis Based on Multi-Source Data Fusion" [1] - The patent authorization announcement number is CN120086537B [1] - The application date for the patent was April 2025 [1]

Core Viewpoint - Moji Weather launched the AeroMetis aviation meteorological SaaS service platform, aiming to enhance safety and efficiency in the aviation industry through innovative meteorological technology [1][2]. Group 1: Product Launch and Features - The AeroMetis platform integrates multi-source data fusion and AI models to provide aviation companies with accurate meteorological insights for decision-making [1][2]. - The platform has demonstrated its value in various scenarios, such as reducing the return and diversion rate for Tibet Airlines by 5% through minute-level thunderstorm forecasting for Lhasa Airport [2]. - It also offers tailored precipitation risk adjustment suggestions 72 hours in advance for Sichuan Airlines, addressing blind spots in cumulative precipitation information at international airports [2]. Group 2: Economic Impact and Industry Applications - AeroMetis is projected to help airlines reduce return and diversion rates by approximately 10%, improve flight regularity by 8%, and enhance overall economic benefits by 10% to 15% [3]. - Moji Weather's technological capabilities extend beyond aviation, with successful applications in various sectors such as rail transportation, energy dispatch, logistics, and insurance, creating significant commercial value and social benefits [3][5]. - The company aims to continue investing in core technology research and expand its industry applications, promoting intelligent upgrades across sectors [5].

Core Viewpoint - The article highlights the successful completion of several million yuan in angel round and angel+ round financing by the aerial robotics startup "Micro Differential Flying," aimed at advancing innovation in flight embodiment intelligence and building a professional talent team in the field of aerial robotics [1]. Company Overview - Micro Differential Flying (Hangzhou) Technology Co., Ltd. was established in July 2024, focusing on creating a leading global general aerial robot embodiment intelligence brain and its cluster system to promote intelligent upgrades in industrial, urban, and natural spaces [1]. Team Composition - The founder, Professor Gao Fei, is a well-known scholar in the robotics field with over 10 years of experience, having published more than 80 high-level academic papers and achieved several international pioneering results in trajectory planning and collaborative navigation [2]. - The general manager and R&D head, Wang Yingjian, is a PhD student from Zhejiang University, specializing in multi-robot positioning and exploration, with several publications in top international journals [4]. - Core team member Liu Zhiyang holds a PhD and focuses on hydrogen fuel cell system integration, with 16 published papers and over 20 authorized patents [6]. Product Development and Business Expansion - Micro Differential Flying aims to develop a general autonomous aerial robot platform, focusing on flight embodiment intelligence, multi-source data fusion, autonomous decision-making, and machine learning [8]. - The company launched its first autonomous decision-making flight platform, the P300, just three months after its establishment. This drone is designed for autonomous exploration and mapping in unknown environments, featuring waterproof and dustproof capabilities [8][11]. - The P300 has been widely recognized for its effectiveness in various applications, including mining, forestry, chemical, construction, urban management, and emergency safety, with extensive field use across multiple provinces [11].