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    • Research on AI-Empowered Technical Pathways for Immediate Remote Sensing of Sudden Earth Surface Anomalies

    • “The real-time remote sensing of sudden surface anomalies is a major strategic requirement for the high-quality development of the national economy and society. It is also a hot topic in cutting-edge technology research in many fields such as geology and remote sensing science. This article introduces its research progress in the intersection of AI and satellite remote sensing. The research team explores new ideas and overall solutions for AI enabled real-time remote sensing of sudden surface anomalies, providing a technical path to solve the three major problems of invisible, invisible, and invisible.”
      • role:First author第一作者
      • Affiliation:

        Advanced Interdisciplinary Institute of Satellite Applications, Beijing Normal University, Beijing 100875, China

      • Email:wangqiao@bnu.edu.cn
      • Introduction:王桥, 研究方向为即时遥感与环境遥感。E-mail: wangqiao@bnu.edu.cn

      WANG Qiao

    • Pages: 1-9(2026)  
    • DOI:10.11834/jrs.20266412    

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WANG Qiao 北京师范大学 地理科学学部
ZHENG Yue 南京师范大学 虚拟地理环境教育部重点实验室;南京师范大学 气候系统预测与变化应对全国重点实验室;南京师范大学 江苏省地理信息资源开发与利用协同创新中心
LONG Yi 南京师范大学 虚拟地理环境教育部重点实验室;南京师范大学 气候系统预测与变化应对全国重点实验室;南京师范大学 江苏省地理信息资源开发与利用协同创新中心
CHEN Haoxuan 南京师范大学 虚拟地理环境教育部重点实验室;南京师范大学 气候系统预测与变化应对全国重点实验室;南京师范大学 江苏省地理信息资源开发与利用协同创新中心
ZHANG Ling 南京师范大学 虚拟地理环境教育部重点实验室;南京师范大学 气候系统预测与变化应对全国重点实验室;南京师范大学 江苏省地理信息资源开发与利用协同创新中心
WU Yue 南京师范大学 虚拟地理环境教育部重点实验室;南京师范大学 气候系统预测与变化应对全国重点实验室;南京师范大学 江苏省地理信息资源开发与利用协同创新中心
ZHANG Fengji 南京师范大学 虚拟地理环境教育部重点实验室;南京师范大学 气候系统预测与变化应对全国重点实验室;南京师范大学 江苏省地理信息资源开发与利用协同创新中心
WANG Qiao 北京师范大学 地理科学学部

Related Institution

State Key Laboratory of Remote Sensing Science, Beijing Normal University
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University
Key Laboratory of Virtual Geographic Environment,Ministry of Education,Nanjing Normal University
Faculty of Geographical Science, Beijing Normal University