Emerging remote sensing techniques for hydrological applications
文献类型：期刊论文
| 作者 | Zeng, Jiangyuan5; Long, Di2; Zhang, Yongqiang1; Ryu, Dongryeol6; Wigneron, Jean-Pierre3; Huang, Qi4 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2026 |
| 卷号 | 332页码:115060 |
| 关键词 | Remote sensing Hydrological flux and state variables Hydrological applications Water body Soil moisture River discharge |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2025.115060 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | In light of the rapid advancements in hydrological science research facilitated by cutting-edge remote sensing technologies, such as synthetic aperture radar (SAR), hyperspectral imaging, and Light Detection and Ranging (LiDAR), we have curated a special issue in Remote Sensing of Environment entitled Emerging remote sensing techniques for hydrological applications, spanning from October 2022 to April 2024. This special issue comprises 31 publications that highlight methodologies leveraging multi-sensor satellite platforms, unmanned aerial vehicles (UAVs), and advanced physical models and machine learning approaches to improve the monitoring and modeling of key hydrological flux and state variables. These remote sensing retrievals (e.g., river discharge and soil moisture) have been applied to various operational hydrological applications such as real-time flood monitoring and drought risk assessment. To provide a systematic overview, we categorize these publications based upon hydrological themes and the number of publications, covering topics such as water body, soil moisture, river discharge, water level, drought, water storage, and other related areas. Finally, we provide an outlook that envisages how the emerging trends (e.g., multi-sensor integration and machine learning-driven approaches) identified from the published studies will evolve and shape future research directions in hydrological remote sensing. |
| URL标识 | 查看原文 |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001620272700002 |
| 出版者 | ELSEVIER SCIENCE INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219682]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Zeng, Jiangyuan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; 2.Chinese Acad Sci, State Key Lab Hydrosci & Engn, Dept Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Bordeaux Sci Agro, INRAE, UMR 1391, ISPA, Villenave Dornon, France; 4.China Univ Geosci, Sch Water Resources & Environm, Key Lab Groundwater Conservat, Minist Water Resources, Beijing 100083, Peoples R China 5.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing & Digital Earth, Beijing 100101, Peoples R China; 6.Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia; |
| 推荐引用方式 GB/T 7714 | Zeng, Jiangyuan,Long, Di,Zhang, Yongqiang,et al. Emerging remote sensing techniques for hydrological applications[J]. REMOTE SENSING OF ENVIRONMENT,2026,332:115060. |
| APA | Zeng, Jiangyuan,Long, Di,Zhang, Yongqiang,Ryu, Dongryeol,Wigneron, Jean-Pierre,&Huang, Qi.(2026).Emerging remote sensing techniques for hydrological applications.REMOTE SENSING OF ENVIRONMENT,332,115060. |
| MLA | Zeng, Jiangyuan,et al."Emerging remote sensing techniques for hydrological applications".REMOTE SENSING OF ENVIRONMENT 332(2026):115060. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。