Space-Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin
文献类型:期刊论文
作者 | Hou, Yingzhuo1,2,3; Ma, Yonggang4; Hou, Zheng4; Arif, Maham1,2,3; Li, Jinghu1,2,3; Ming, Xing5; Liu, Xinyue5; Xing, Qianguo1,2,3![]() |
刊名 | SENSORS
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出版日期 | 2024-11-01 |
卷号 | 24期号:21页码:13 |
关键词 | sensor network satellite ground hyperspectral station suspended sediment concentration the Yellow River |
DOI | 10.3390/s24216888 |
通讯作者 | Xing, Qianguo(qgxing@yic.ac.cn) |
英文摘要 | The Yellow River, China's second-largest river, is renowned for its high sediment content. In response to the potential impacts of climate change on Yellow River water resources and water environmental management, an advanced monitoring and forecasting system for water and sediment throughout the entire Yellow River basin-from its source to the sea-is urgently needed. In this paper, based on the current status of water and sediment monitoring technologies, we proposed an integrated remote sensing monitoring network that combines satellite remote sensing, drone remote sensing, and ground-based wireless automatic monitoring networks, aiming to achieve the digital monitoring of water and sediment across the entire Yellow River basin, from its upper reaches to its estuary in the Bohai Sea. By utilizing ground-based in situ hyperspectral stations for sediment source areas in the upper reaches, such as the Qingshui River basin in Ningxia, and satellite remote sensing for midstream processes in the Xiaolangdi reservoir before the flood season in 2023, as well as downstream monitoring at the Yellow River estuary, this paper demonstrates the novelty and efficiency of the space-air-ground integrated remote sensing monitoring technology. |
WOS关键词 | LOESS PLATEAU ; RUNOFF |
WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
语种 | 英语 |
WOS记录号 | WOS:001350981800001 |
资助机构 | Seed Project of Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences ; Key R&D Program of Shandong Province, China ; Instrument Developing Project of the Chinese Academy of Sciences ; National Natural Science Foundation of China |
源URL | [http://ir.yic.ac.cn/handle/133337/37850] ![]() |
专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 烟台海岸带研究所_海岸带信息集成与综合管理实验室 |
通讯作者 | Xing, Qianguo |
作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 2.Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Ningxia Hui Autonomous Reg Hydrol & Water Resource, Yinchuan 750001, Peoples R China 5.Hebei Univ, Coll Phys Sci & Technol, Baoding 071002, Peoples R China |
推荐引用方式 GB/T 7714 | Hou, Yingzhuo,Ma, Yonggang,Hou, Zheng,et al. Space-Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin[J]. SENSORS,2024,24(21):13. |
APA | Hou, Yingzhuo.,Ma, Yonggang.,Hou, Zheng.,Arif, Maham.,Li, Jinghu.,...&Xing, Qianguo.(2024).Space-Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin.SENSORS,24(21),13. |
MLA | Hou, Yingzhuo,et al."Space-Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin".SENSORS 24.21(2024):13. |
入库方式: OAI收割
来源:烟台海岸带研究所
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